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A survey on IoT-cloud task in healthcare system

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Abstract

With the quick advancement of emerging technologies, IoT-cloud has supported various smart things like sensors and various smart devices. Medical care is one of the applicable spaces in the IoT-cloud that attracts major interest from industries, medical researchers, and the public. It has a wide applicable space, with medical care being one of the most popular. The integration of IoT-cloud improves staff fulfillment, patient security, and operational efficiency in the clinical business. This paper overviews recent IoT-cloud techniques, applications, and patterns in medical care. A study of current trends in the medical service application. We likewise summarize, classify, and discuss the application and progress of utilizing IoT-cloud in the medical framework. Furthermore, potential security issues and arrangements from a medical care perspective are discussed. This study overviews how IoT-cloud technology is being applied in the medical care industry. It also finds different guidelines and arrangements to decide the global economic improvement of IoT-cloud in the medical sector.

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References

  1. Abidi B, Jilbab A, Haziti ME (2017) Wireless sensor networks in biomedical: Wireless body area networks. In: Europe and MENA Cooperation Advances in Information and Communication Technologies, Springer, Berlin/Heidelberg, Germany, 2017 pp 321–329

  2. Xu Q, Ren P, Song H, Du Q (2016) Security enhancement for IoT communications exposed to eavesdroppers with uncertain locations. IEEE Access 4:2840–2853

    Article  Google Scholar 

  3. Scuotto V, Ferraris A, Bresciani S (2016) Internet of things: applications and challenges in smart cities: a case study of IBM smart city projects. Bus Process Manag J 22:357–367

    Article  Google Scholar 

  4. Stergiou C, Psannis KE, Kim BG, Gupta B (2018) Secure integration of IoT and cloud computing. Future Gener Comput Syst 78:964–975

    Article  Google Scholar 

  5. Truong HL, Dustdar S (2015) Principles for engineering IoT cloud systems. IEEE Cloud Comput 2:68–76

    Article  Google Scholar 

  6. Minh DL, Sadeghi-Niaraki A, Huy HD, Min K, Moon H (2018) Deep learning approach for short-term stock trends prediction based on two-stream gated recurrent unit network. IEEE Access 6:55392–55404

    Article  Google Scholar 

  7. Paul PV, Saraswathi R (2017) The internet of things: a comprehensive survey. In: Proceedings of the 2017 International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC), Melmaruvathur, India, 22–23 March 2017, pp 421–426

  8. Chen ET (2017) The internet of things: opportunities, issues, and challenges. In: The Internet of Things in the Modern Business Environment; IGI Global, Hershey, PA, USA, 2017, pp 167–187

  9. Yaqoob I, Ahmed E, Hashem IAT, Ahmed AIA, Gani A, Imran M, Guizani M (2017) Internet of things architecture: recent advances, taxonomy, requirements, and open challenges. IEEE Wirel Commun 24:10–16

    Article  Google Scholar 

  10. Lin J, Yu W, Zhang N, Yang X, Zhang H, Zhao W (2017) A survey on internet of things: architecture, enabling technologies, security and privacy, and applications. IEEE Internet Th J 4:1125–1142

    Article  Google Scholar 

  11. Li S, Da Xu L, Zhao S (2018) 5G internet of things: a survey. J Ind Inf Integr 10:1–9

    Google Scholar 

  12. Hosseinian-Far A, Ramachandran M, Slack CL (2018) Emerging trends in cloud computing, big data, fog computing, IoT and smart living. In: Technology for Smart Futures, Springer, Berlin/Heidelberg, Germany, 2018, pp 29–40

  13. Höller J, Tsiatsis V, Mulligan C, Karnouskos S, Aves S, Boyle D (2014) Real-world design constraints, from machine-to-machine to the internet of things pp 225–231

  14. Höller J, Tsiatsis V, Mulligan C, Karnouskos S, Aves S, Boyle D (2014) M2M to IoT–an architectural overview, from machine- to-machine to the internet of things pp 61–77

  15. Gigli M, Koo S (2011) Internet of things: services and applications categorization. Adv Internet Th 01(02):27–31

    Article  Google Scholar 

  16. Bandyopadhyay D, Sen J (2011) Internet of things: applications and challenges in technology and standardization. Wirel Pers Commun 58(1):49–69

    Article  Google Scholar 

  17. Diaz M, Juan G, Lucas O, Ryuga A (2012) Big data on the internet of things: an example for the e-health. In: Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2012 6th International Conference on pp 898–900, IEEE

  18. Suciu G, Suciu V, Halunga S, Fratu O (2015) Big data, internet of things and cloud convergence for e-health applications. In: New Contributions in Information Systems and Technologies, pp 151–160

  19. Doukas C, Maglogiannis I (2012) Bringing IoT and cloud computing towards pervasive healthcare. In: Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2012 6th International Conference on pp 922–926, IEEE

  20. Vasanth K, Sbert J (2012) Creating solutions for health through technology innovation. Texas Instruments. Available: http://www.ti.com/lit/wp/sszy006/sszy006.pdf.

  21. Prodosh B (2016) Internet of things & healthcare (IoT): how the cloud enables rapid growth and what this means for data security. Available: https://safeswisscloud.com/en/blog/internet-things-healthcare-iot-how-cloud-enables-rapid-growth-and-what-means-data-security/.

  22. Nguyen TN, Thai CH, Luu AT, Nguyen-Xuan H, Lee J (2019) NURBS-based postbuckling analysis of functionally graded carbon nanotube-reinforced composite shells. Comput Methods Appl Mech Eng 347:983–1003

    Article  MathSciNet  Google Scholar 

  23. Nguyen TN, Lee S, Nguyen-Xuan H, Lee J (2019) A novel analysis-prediction approach for geometrically nonlinear problems using group method of data handling. Comput Methods Appl Mech Eng 354:506–526

    Article  MathSciNet  Google Scholar 

  24. Dang LM, Hassan SI, Im S, Mehmood I, Moon H (2018) Utilizing text recognition for the defects extraction in sewers CCTV inspection videos. Comput Ind 99:96–109

    Article  Google Scholar 

  25. Size of the internet of things market worldwide in 2014 and 2020, by Industry (2020) Available online: https://www.statista.com/statistics/512673/worldwide-internet-of-things-market/. Accessed on 24 Feb 2019

  26. Internet of things at a glance (2019) Available online https://www.cisco.com/c/dam/en/us/products/collateral/se/internet-of-things/at-a-glance-c45-731471.pdf. Accessed on 23 Feb 2019

  27. Islam SR, Kwak D, Kabir MH, Hossain M, Kwak KS (2015) The internet of things for health care: a comprehensive survey. IEEE Access 3:678–708

    Article  Google Scholar 

  28. Mutlag AA, Ghani MKA, Arunkumar N, Mohamed MA, Mohd O (2019) Enabling technologies for fog computing in healthcare IoT systems. Future Gener Comput Syst 90:62–78

    Article  Google Scholar 

  29. Kraemer FA, Braten AE, Tamkittikhun N, Palma D (2017) Fog computing in healthcare—a review and discussion. IEEE Access 5:9206–9222

    Article  Google Scholar 

  30. Baker SB, Xiang W, Atkinson I (2017) Internet of things for smart healthcare: technologies, challenges, and opportunities. IEEE Access 5:26521–26544

    Article  Google Scholar 

  31. Ahmadi H, Arji G, Shahmoradi L, Safdari R, Nilashi M, Alizadeh M (2018) The application of internet of things in healthcare: a systematic literature review and classification. Univ Access Inf Soc. https://doi.org/10.1007/s10209-018-0618-4

    Article  Google Scholar 

  32. Mell P, Grance T (2011) The NIST definition of cloud computing (draft). NIST Spec Publ 800(145):7

    Google Scholar 

  33. Our world in data (2017) Diseases death rate [Online] Available: https://ourworldindata.org/grapher/cardiovascular-disease-death-rates

  34. Ashton K (2009) That ‘internet of things’ thing. RFID J 22(7):97–114

    Google Scholar 

  35. Nikravan M, Jameii SM, Kashani MH (2011) An intelligent energy efficient QoS- routing scheme for WSN. Int J Adv Eng Sci Technol 8(1):121–124

    Google Scholar 

  36. Atzori L, Iera A, Morabito G (2010) The internet of things: a survey. Comput Netw 54(15):2787–2805

    Article  Google Scholar 

  37. Najafizadeh A, Kashani MH (2011) A novel intelligent mechanism for energy efficiency in hierarchical WSNs. Int J Adv Eng Sci Technol 10(1):139–144

    Google Scholar 

  38. Asghari P, Rahmani AM, Javadi HHS (2019) Internet of things applications: a systematic review. Comput Netw 148:241–261

    Article  Google Scholar 

  39. Sultan N (2014) Making use of cloud computing for healthcare provision: opportunities and challenges. Int J Inf Manag 34(2):177–184

    Article  Google Scholar 

  40. Fosso Wamba S, Anand A, Carter L (2013) A literature review of RFID-enabled healthcare applications and issues. Int J Inf Manag 33(5):875–891

    Article  Google Scholar 

  41. Farahani B, Firouzi F, Chang V, Badaroglu M, Constant N, Mankodiya K (2018) Towards fog-driven IoT eHealth: promises and challenges of IoT in medicine and healthcare. Future Gener Comput Syst 78:659–676

    Article  Google Scholar 

  42. Sheikh SM, Haghi KM, Mahdipour E, Faghih MR (2021) Towards effective offloading mechanisms in fog computing: a systematic survey. Multimed Tools Appl 81:1997–2042

    Article  Google Scholar 

  43. Jabbar S, Ullah F, Khalid S, Khan M, Han K (2017) Semantic interoperability in heterogeneous IoT infrastructure for healthcare. Wirel Commun Mobile Comput 1–10:9731806

    Google Scholar 

  44. Ullah F, Habib MA, Farhan M, Khalid S, Durrani MY, Jabbar S (2017) Semantic interoperability for big-data in heterogeneous IoT infrastructure for healthcare. Sustain Cities Soc 34:90–96

    Article  Google Scholar 

  45. Najafizadeh A, Salajegheh A, Rahmani AM, Sahafi A (2021) Privacy-preserving for the Internet of things in multi-objective task scheduling in cloud-fog computing using goal programming approach. Peer-to-Peer Netw Appl

  46. Sakiz F, Sen S (2017) A survey of attacks and detection mechanisms on intelligent transportation systems: VANETs and IoV. Ad Hoc Netw 61:33–50

    Article  Google Scholar 

  47. Ray PP, Dash D, De D (2019) Internet of things-based real-time model study on e- healthcare: device, message service and dew computing. Comput Netw 149:226–239

    Article  Google Scholar 

  48. Dawoud W, Iakouna T, Meinel C (2010) Infrastructure as a service security: challenges and solutions, In: Informatics and Systems (I*FOS), 2010 the 7th International Conference, pp I–8

  49. Buyya R, Yeo CS, Venugopal S (2008) Market-oriented cloud computing: vision, hype, and reality for delivering IT services as computing utilities. In: Proceeding IEEE/ACM Grid Conference 2008, pp 50–57

  50. Feng J, Chen Y, Liu P (2010) Bridging the missing link of cloud data storage security in AWS. In: Consumer Communications and Networking Conference (CC*C), 2010 7th IEEE, pp I–2, Jan 2010

  51. Blake H (2008) Innovation in practice: mobile phone technology in patient care. Br J Community Nurs 13(4):160–165

    Article  Google Scholar 

  52. Grogan J (2016) EHRs and information availability: are you at risk? Health Manag Technol 27(5):16

    Google Scholar 

  53. Ikhu-Omoregbe NA (2008) Formal modelling and design of mobile prescription applications. J Health Inform Dev Ctries 2(2)

  54. Bali S, Singh A (2007) Mobile phone consultation for community health care in rural north India. J Telemed Telecare 13(8):421–4

    Article  Google Scholar 

  55. Perera I (2009) Implementing healthcare information in rural communities in Sri Lanka: anovel approach with mobile communication [Electronic Version]. J Health Inform Dev Ctries 3(2):24–29. http://www.jhidc.org/index.php/jhidc/issue/view/8

  56. Muir E Challenges of cloud computing in healthcare integration (2021) Retrieved from http://www.zdnet.com/news/challenges-of-cloudcomputing-in-healthcare-integration/6266971. Accessed 23 July 2013

  57. Horowitz B Cloud computing brings challenges for health care data storage, privacy. Retrieved from http://www.eweek.com/c/alHealthCare-II/Cloud-Computing-Brings-Challenges-for-Health-Care-DataStorage-Privacy-85 16081. Accessed 23 July 2013

  58. Marengoni A et al (2011) Aging with multimorbidity: a systematic review of the literature. Ageing Res Rev 10(4):430–439

    Article  Google Scholar 

  59. Nasajpour M, Pouriyeh S, Parizi RM, Dorodchi M, Valero M, Arabnia HR (2020) Internet of things for current COVID-19 and future pandemics: an exploratory study. J Healthc Inform Res 4(4):325–364

    Article  Google Scholar 

  60. Singh RP, Javaid M, Haleem A, Suman R (2020) Internet of things (IoT) applications to fight against COVID-19 pandemic. Diabetes Metab Syndr Clin Res Rev 14(4):521–524

    Article  Google Scholar 

  61. Mohammed M, Syamsudin H, Al-Zubaidi S, Aks RR, Yusuf E (2020) Novel COVID- 19 detection and diagnosis system using IoT based smart helmet. Int J Psychosoc Rehabil 24(7):2296–2303

    Google Scholar 

  62. Kaur P, Sharma M (2020) A smart and promising neurological disorder diagnostic system. In: Intelligent data analysis, pp 241–264

  63. Ahmadi Z, Haghi KM, Nikravan M, Mahdipour E (2021) Fog-based healthcare systems: a systematic review. Multimed Tools Appl

  64. Dey N, Hassanien AE, Bhatt C, Ashour AS, Satapathy SC (2018) Internet of things and big data analytics toward next-generation intelligence. Springer, Cham

    Book  Google Scholar 

  65. Wilson D (2017) An overview of the application of wearable technology to nursing practice. Nurs Forum 52(2):124–132

    Article  Google Scholar 

  66. Ahmed A, Latif R, Latif S, Abbas H, Khan FA (2018) Malicious insiders attack in IoT based multi-cloud e-healthcare environment: a systematic literature review. Multimed Tool Appl 77(17):21947–21965

    Article  Google Scholar 

  67. Qi J, Yang P, Min G, Amft O, Dong F, Xu L (2017) Advanced internet of things for personalised healthcare systems: a survey. Pervasive Mob Comput 41:132–149

    Article  Google Scholar 

  68. Almobaideen W, Krayshan R, Allan M, Saadeh M (2017) Internet of things: geographical routing based on healthcare centers vicinity for mobile smart tourism destination. Technol Forecast Soc Change 123:342–350

    Article  Google Scholar 

  69. Qiu T, Liu X, Han M, Li M, Zhang Y (2017) SRTS: a self-recoverable time synchronization for sensor networks of healthcare IoT. Comput Netw 129:481–492

    Article  Google Scholar 

  70. Ray PP, Dash D, De D (2019) Real-time event-driven sensor data analytics at the edge-Internet of things for smart personal healthcare. J Supercomput 76(9):6648–6668

    Article  Google Scholar 

  71. Woo MW, Lee J, Park K (2018) A reliable IoT system for personal healthcare devices. Future Generat Comput Syst 78:626–640

    Article  Google Scholar 

  72. Sharavana Kumar MG, Sarma Dhulipala VR (2020) Fuzzy allocation model for health care data management on IoT assisted wearable sensor platform. Measurement 166:1–24

    Article  Google Scholar 

  73. Chanak P, Banerjee I (2020) Congestion free routing mechanism for IoT-enabled wireless sensor networks for smart healthcare applications. IEEE Trans Consum Electron 66(3):223–232

    Article  Google Scholar 

  74. Patan R, Pradeep Ghantasala GS, Sekaran R, Gupta D, Ramachandran M (2020) Smart healthcare and quality of service in IoT using grey filter convolutional based cyber physical system. Sustain Cities Soc 59:102141–102161

    Article  Google Scholar 

  75. Catherwood PA, Steele D, Little M, Mccomb S, Mclaughlin J (2018) A community- based IoT personalized wireless healthcare solution trial. IEEE J Transl Eng Health Med 6:1–13

    Article  Google Scholar 

  76. Catarinucci L et al (2015) An IoT-aware architecture for smart healthcare systems. IEEE Internet Th J 2(6):515–526

    Article  Google Scholar 

  77. Aktas F, Ceken C, Erdemli YE (2018) IoT-based healthcare framework for biomedical applications. J Med Biol Eng 38(6):966–979

    Article  Google Scholar 

  78. Abdellatif AA, Khafagy MG, Mohamed A, Chiasserini C (2018) EEG-based transceiver design with data decomposition for healthcare IoT applications. IEEE Internet Th J 5(5):3569–3579

    Article  Google Scholar 

  79. Abuelkhail A, Baroudi U, Raad M, Sheltami T (2020) Internet of things for healthcare monitoring applications based on RFID clustering scheme. Wirel Netw 27(1):747–763

    Article  Google Scholar 

  80. Chehri A, Mouftah HT (2020) Internet of Things-integrated IR-UWB technology for healthcare applications. Concurr Comput Pract Ex 32(2):e5454

    Article  Google Scholar 

  81. Kavitha K, Sharma S (2019) Performance analysis of ACO-based improved virtual machine allocation in cloud for IoT-enabled healthcare. Concurr Comput Pract Ex 32(21):1–12

    Google Scholar 

  82. Asif-Ur-Rahman M et al (2019) Towards a heterogeneous mist, fog, and cloud based framework for the internet of healthcare things. IEEE Internet Th J 6(3):4049–4062

    Article  Google Scholar 

  83. Awaisi KS, Hussain S, Ahmed M, Khan AA, Ahmed G (2020) Leveraging IoT and fog computing in healthcare systems. IEEE Internet Th Mag 3(2):52–56

    Article  Google Scholar 

  84. Sengupta S, Bhunia SS (2020) Secure data management in cloudlet assisted IoT enabled e-health framework in smart city. IEEE Sensor J 20(16):9581–9588

    Article  Google Scholar 

  85. Abdelmoneem RM, Benslimane A, Shaaban E (2020) Mobility-aware task scheduling in cloud-fog IoT-based healthcare architectures. Comput Netw 179:107348–107365

    Article  Google Scholar 

  86. Awan KM et al (2019) A priority-based congestion-avoidance routing protocol using IoT-based heterogeneous medical sensors for energy efficiency in healthcare wireless body area networks. Int J Distrib Sens Netw 15(6):1–16

    Article  Google Scholar 

  87. Yi C, Cai J (2019) A truthful mechanism for scheduling delay-constrained wireless transmissions in IoT-based healthcare networks. IEEE Trans Wirel Commun 18(2):912–925

    Article  Google Scholar 

  88. Manikandan R, Patan R, Gandomi AH, Sivanesan P, Kalyanaraman H (2020) Hash polynomial two factor decision tree using IoT for smart health care scheduling. Expert Syst Appl 141:112924–112930

    Article  Google Scholar 

  89. Kumar P, Silambarasan K (2019) Enhancing the performance of healthcare service in IoT and cloud using optimized techniques. IETE J Res 68:1–10

    Google Scholar 

  90. Wang X, Cai S (2020) Secure healthcare monitoring framework integrating NDN-based IoT with edge cloud. Future Gener Comput Syst 112:320–329

    Article  Google Scholar 

  91. Wang X, Li Y (2020) Fog-assisted content-centric healthcare IoT. IEEE Internet Th Mag 3(3):90–93

    Article  Google Scholar 

  92. Min M et al (2019) Learning-based privacy-aware offloading for healthcare IoT with energy harvesting. IEEE Internet Th J 6(3):4307–4316

    Article  Google Scholar 

  93. Bharathi R et al (2020) Energy efficient clustering with disease diagnosis model for IoT based sustainable healthcare systems. Sustain Comput Inform Syst 28:1–28

    Google Scholar 

  94. He S, Cheng B, Wang H, Huang Y, Chen J (2017) Proactive personalized services through fog-cloud computing in large-scale IoT-based healthcare application. China Commun 14(11):1–16

    Article  Google Scholar 

  95. Ray PP, Thapa N, Dash D, De D (2019) Novel implementation of IoT based non- invasive sensor system for real-time monitoring of intravenous fluid level for assistive e-healthcare. Circ World 45(3):109–123

    Article  Google Scholar 

  96. Vilela PH, Rodrigues JJ, Solic P, Saleem K, Furtado V (2019) Performance evaluation of a fog-assisted IoT solution for e-health applications. Future Generat Comput Syst 97:379–386

    Article  Google Scholar 

  97. Chen X, Ma M, Liu A (2018) Dynamic power management and adaptive packet size selection for IoT in e-healthcare. Comput Electr Eng 65:357–375

    Article  Google Scholar 

  98. Elsts A et al (2018) Enabling healthcare in smart homes: the SPHERE IoT network infrastructure. IEEE Commun Mag 56(12):164–170

    Article  Google Scholar 

  99. Bhatia M, Sood SK (2017) A comprehensive health assessment framework to facilitate IoT-assisted smart workouts: a predictive healthcare perspective. Comput Ind 92:50–66

    Article  Google Scholar 

  100. Ray PP, Dash D, De D (2019) Analysis and monitoring of IoT-assisted human physiological galvanic skin response factor for smart e-healthcare. Sens Rev 39(4):525–541

    Article  Google Scholar 

  101. Yang Z, Zhou Q, Lei L, Zheng K, Xiang W (2016) An IoT-cloud based wearable ECG monitoring system for smart healthcare. J Med Syst 40(12):286–297

    Article  Google Scholar 

  102. Azimi I, Pahikkala T, Rahmani AM, Niela-Vil´en H, Axelin A, Liljeberg P (2019) Missing data resilient decision-making for healthcare IoT through personalization: a case study on maternal health. Future Generat Comput Syst 96:297–308

    Article  Google Scholar 

  103. Wu T, Redout´e J-M, Yuce MR (2018) A wireless implantable sensor design with subcutaneous energy harvesting for long-term IoT healthcare applications. IEEE Access 6:35801–35808

    Article  Google Scholar 

  104. Wu T, Wu F, Redout´e J, Yuce MR (2017) An autonomous wireless body area network implementation towards IoT connected healthcare applications. IEEE Access 5:11413–11422

    Article  Google Scholar 

  105. Tekeste T, Saleh H, Mohammad B, Ismail M (2019) Ultra-low power QRS detection and ECG compression architecture for IoT healthcare devices. IEEE Trans Circuits Syst I Regul Pap 66(2):669–679

    Article  Google Scholar 

  106. Niitsu K et al (2018) A self-powered supply-sensing biosensor platform using bio fuel cell and low-voltage, low-cost CMOS supply-controlled ring oscillator with inductive-coupling transmitter for healthcare IoT. IEEE Trans Circuits Syst I Regul Pap 65(9):2784–2796

    Article  Google Scholar 

  107. Esmaeili S, Kamel Tabbakh SR, Shakeri H (2020) A priority-aware lightweight secure sensing model for body area networks with clinical healthcare applications in Internet of Things. Pervasive Mob Comput 69:1–45

    Article  Google Scholar 

  108. Hallfors NG et al (2018) Graphene oxide: nylon ECG sensors for wearable IoT healthcare—nanomaterial and SoC interface. Analog Integr Circuits Signal Process 96(2):253–260

    Article  Google Scholar 

  109. Huifeng W, Kadry SN, Raj ED (2020) Continuous health monitoring of sportsperson using IoT devices based wearable technology. Comput Commun 160:588–595

    Article  Google Scholar 

  110. Muthu B et al (2020) IOT based wearable sensor for diseases prediction and symptom analysis in healthcare sector. Peer-to-Peer Netw Appl 13(6):2123–2134

    Article  Google Scholar 

  111. Wu T, Wu F, Qiu C, Redout´e JM, Yuce MR (2020) A rigid-flex wearable health monitoring sensor patch for IoT-connected healthcare applications. IEEE Internet Th J 7(8):6932–6945

    Article  Google Scholar 

  112. Sultan N (2014) Making use of cloud computing for healthcare provision: opportunities and challenges. Int J Inf Manag 34:177–184

    Article  Google Scholar 

  113. Xu B, Xu L, Cai H, Jiang L, Luo Y, Gu Y (2017) The design of an m-health monitoring system based on a cloud computing platform. Enterp Inf Syst 11:17–36

    Article  Google Scholar 

  114. Darwish A, Hassanien AE, Elhoseny M, Sangaiah AK, Muhammad K (2017) The impact of the hybrid platform of internet of things and cloud computing on healthcare systems: opportunities, challenges, and open problems. J Ambient Intell Humaniz Comput 10:1–16

    Google Scholar 

  115. Corcoran P, Datta SK (2016) Mobile-edge computing and the internet of things for consumers: extending cloud computing and services to the edge of the network. IEEE Consum Electron Mag 5:73–74

    Article  Google Scholar 

  116. Singh D, Tripathi G, Alberti AM, Jara A (2017) Semantic edge computing and IoT architecture for military health services in battlefield. In: Proceedings of the 2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC) , Las Vegas, NV, USA, 8–11 January 2017, pp 185–190

  117. Yang G, Xie L, Mäntysalo M, Zhou X, Pang Z, Da Xu L, Kao-Walter S, Chen Q, Zheng LR (2014) A health-IoT platform based on the integration of intelligent packaging, unobtrusive bio-sensor, and intelligent medicine box. IEEE Trans Ind Inform 10:2180–2191

    Article  Google Scholar 

  118. Solutions CFC (2015) Unleash the power of the internet of things; cisco systems, Inc.: San Jose, CA, USA

  119. Dastjerdi AV, Buyya R (2016) Fog computing: helping the internet of things realize its potential. Computer 49:112–116

    Article  Google Scholar 

  120. Devarajan M, Subramaniyaswamy V, Vijayakumar V, Ravi L (2019) Fog-assisted personalized healthcare-support system for remote patients with diabetes. J Ambient Intell Humaniz Comput 10:1–14

    Article  Google Scholar 

  121. Sood SK, Mahajan I (2018) IoT-fog based healthcare framework to identify and control hypertension attack. IEEE Internet Th J 6:1920–1927

    Article  Google Scholar 

  122. Bhatia M, Sood SK (2018) Exploring temporal analytics in fog-cloud architecture for smart office healthcare. Mob Netw Appl 24:1392–1410

    Article  Google Scholar 

  123. Sharma S, Chen K, Sheth A (2018) Toward practical privacy-preserving analytics for iot and cloud-based healthcare systems. IEEE Internet Comput 22:42–51

    Article  Google Scholar 

  124. Negash B, Gia TN, Anzanpour A, Azimi I, Jiang M, Westerlund T, Rahmani AM, Liljeberg P, Tenhunen H (2018) Leveraging fog computing for healthcare iot. In: Fog Computing in the Internet of Things, Springer, Berlin/Heidelberg, Germany, 2018, pp 145–169

  125. Rahmani AM, Gia TN, Negash B, Anzanpour A, Azimi I, Jiang M, Liljeberg P (2018) Exploiting smart e-health gateways at the edge of healthcare internet-of-things: a fog computing approach. Future Gener Comput Syst 78:641–658

    Article  Google Scholar 

  126. Ahmad M, Amin MB, Hussain S, Kang BH, Cheong T, Lee S (2016) Health fog: a novel framework for health and wellness applications. J Supercomput 72:3677–3695

    Article  Google Scholar 

  127. Nandyala CS, Kim HK (2016) From cloud to fog and IoT-based real-time U-healthcare monitoring for smart homes and hospitals. Int J Smart Home 10:187–196

    Article  Google Scholar 

  128. Gia TN, Jiang M, Rahmani AM, Westerlund T, Liljeberg P, Tenhunen H (2015) Fog computing in healthcare internet of things: A case study on ecg feature extraction. In: Proceedings of the 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM), Liverpool, UK, 26–28 October 2015, pp 356–363

  129. Hu P, Dhelim S, Ning H, Qiu T (2017) Survey on fog computing: architecture, key technologies, applications and open issues. J Netw Comput Appl 98:27–42

    Article  Google Scholar 

  130. Yang Z, Zhou Q, Lei L, Zheng K, Xiang W (2016) An IoT-cloud based wearable ECG monitoring system for smart healthcare. J Med Syst 40:286

    Article  Google Scholar 

  131. Almotiri SH, Khan MA, Alghamdi MA (2016) Mobile health (m-health) system in the context of IoT. In: Proceedings of the IEEE International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), Vienna, Austria, 22–24 August 2016, pp 39–42

  132. Abideen ZU, Shah MA (2017) An IoT based robust healthcare model for continuous health monitoring. In: Proceedings of the 2017 23rd International Conference on Automation and Computing (ICAC), Huddersfield, UK, 7–8 September 2017, pp 1–6

  133. Rashed A, Ibrahim A, Adel A, Mourad B, Hatem A, Magdy M, Elgaml N, Khattab A (2017) Integrated IoT medical platform for remote healthcare and assisted living. In: Proceedings of the 2017 Japan-Africa Conference on Electronics, Communications and Computers (JAC-ECC), Alexandria, Egypt, 18–20 December 2017, pp 160–163

  134. Reda R, Piccinini F, Carbonaro A (2018) Semantic modelling of smart healthcare data. In: Proceedings of SAI Intelligent Systems Conference, Springer, Berlin/Heidelberg, Germany, 2018, pp 399–411

  135. Abawajy JH, Hassan MM (2017) Federated internet of things and cloud computing pervasive patient health monitoring system. IEEE Commun Mag 55:48–53

    Article  Google Scholar 

  136. Jabbar S, Ullah F, Khalid S, Khan M, Han K (2017) Semantic interoperability in heterogeneous IoT infrastructure for healthcare. Wirel Commun Mob Comput 2017:9731806

    Article  Google Scholar 

  137. Miranda J, Cabral J, Wagner SR, Fischer Pedersen C, Ravelo B, Memon M, Mathiesen M (2016) An open platform for seamless sensor support in healthcare for the internet of things. Sensors 16:2089

    Article  Google Scholar 

  138. Ali M, Bilal HSM, Razzaq MA, Khan J, Lee S, Idris M, Aazam M, Choi T, Han SC, Kang BH (2017) IoTFLiP: IoT-based flipped learning platform for medical education. Digit Commun Netw 3:188–194

    Article  Google Scholar 

  139. Manashty A, Light J, Yadav U (2015) Healthcare event aggregation lab (HEAL), a knowledge sharing platform for anomaly detection and prediction. In: Proceedings of the 2015 17th International Conference on E-health Networking, Application & Services (HealthCom), Boston, MA, USA, 14–17 October 2015, pp 648–652

  140. Pace P, Aloi G, Gravina R, Fortino G, Larini G, Gulino M (2016) Towards interoperability of IoT-based health care platforms: The INTER-health use case. In: Proceedings of the 11th EAI International Conference on Body Area Networks, Turin, Italy, 15–16 December 2016, pp 12–18

  141. Tang W, Zhang K, Zhang D, Ren J, Zhang Y, Shen XS (2019) Fog-enabled smart health: toward cooperative and secure healthcare service provision. IEEE Commun Mag 57:42–48

    Article  Google Scholar 

  142. Wang K, Shao Y, Xie L, Wu J, Guo S (2018) Adaptive and fault-tolerant data processing in healthcare IoT based on fog computing. IEEE Trans Netw Sci Eng 7(1):263–273

    Article  Google Scholar 

  143. Fu Y, Liu J (2015) System design for wearable blood oxygen saturation and pulse measurement device. Procedia Manuf 3:1187–1194

    Article  Google Scholar 

  144. Xie Y, Gao Y, Li Y, Lu Y, Li W (2017) Development ofwearable pulse oximeter based on internet of things and signal processing techniques. In: Proceedings of the European Modelling Symposium (EMS), Manchester, UK, 20–21 2017, pp 249–254

  145. Ota H, Chao M, Gao Y, Wu E, Tai LC, Chen K, Matsuoka Y, Iwai K, Fahad HM, Gao W et al (2017) 3d printed “earable” smart devices for real-time detection of core body temperature. ACS Sens 2:990–997

    Article  Google Scholar 

  146. Huang M, Tamura T, Tang Z, Chen W, Kanaya S (2017) A wearable thermometry for core body temperature measurement and its experimental verification. IEEE J Biomed Health Inform 21:708–714

    Article  Google Scholar 

  147. Li Q, Zhang LN, Tao XM, Ding X (2017) Review of flexible temperature sensing networks for wearable physiological monitoring. Adv Healthc Mater 6:1601371

    Article  Google Scholar 

  148. Capodieci A, Budner P, Eirich J, Gloor P, Mainetti L (2018) Dynamically adapting the environment for elderly people through smartwatch-based mood detection. In: Collaborative Innovation Networks, Springer: Berlin/Heidelberg, Germany, pp 65–73

  149. Gia TN, Ali M, Dhaou IB, Rahmani AM, Westerlund T, Liljeberg P, Tenhunen H (2017) IoT-based continuous glucose monitoring system: a feasibility study. Procedia Comput Sci 109:327–334

    Article  Google Scholar 

  150. Sunny S, Kumar SS (2018) Optical based non invasive glucometer with IoT. In: Proceedings of the 2018 International Conference on Power, Signals, Control and Computation (EPSCICON), Thrissur, India, 6–10 January 2018, pp 1–3

  151. Xin Q, Wu J (2017) A novel wearable device for continuous, non-invasion blood pressure measurement. Comput Biol Chem 69:134–137

    Article  Google Scholar 

  152. Chao PCP, Tu TY (2017) Using the time-domain characterization for estimation continuous blood pressure via neural network method. In: ASME 2017 Conference on Information Storage and Processing Systems collocated with the ASME 2017 Conference on Information Storage and Processing Systems, San Francisco, CA, USA, 29–30 August 2017, pp V001T02A003

  153. Dinh A, Luu L, Cao, T (2017) Blood pressure measurement using finger ECG and photoplethysmogram for IoT. In: Proceedings of the International Conference on the Development of Biomedical Engineering in Vietnam, Ho Chi Minh, Vietnam, 27–29 June 2017, pp 83–89

  154. AL-Jaf TG, Al-Hemiary EH (2017) Internet of things based cloud smart monitoring for asthma patient. In: Proceedings of the 1st International Conference on Information Technology (ICoIT’17), Erbil, Iraq, 10 April 2017, pp 380

  155. Raji A, Devi PK, Jeyaseeli PG, Balaganesh N (2016) Respiratory monitoring system for asthma patients based on IoT. In: Proceedings of the 2016 Online International Conference on Green Engineering and Technologies (IC-GET), Coimbatore, India, 19 November 2016, pp 1–6

  156. Kumari A, Tanwar S, Tyagi S, Kumar N (2018) Fog computing for healthcare 4.0 environment: opportunities and challenges. Comput Electr Eng 72:1–13

    Article  Google Scholar 

  157. García-Valls M, Calva-Urrego C, García-Fornes A (2018) Accelerating smart eHealth services execution at the fog computing infrastructure. Future Gener Comput Syst. https://doi.org/10.1016/j.future.2018.07.001

    Article  Google Scholar 

  158. Martínez Pérez M, Dafonte C, Gómez Á (2018) Traceability in patient healthcare through the integration of RFID technology in an ICU in a hospital. Sensors 18:1627

    Article  Google Scholar 

  159. Griggs KN, Ossipova O, Kohlios CP, Baccarini AN, Howson EA, Hayajneh T (2018) Healthcare blockchain system using smart contracts for secure automated remote patient monitoring. J Med Syst 42:130

    Article  Google Scholar 

  160. Verma P, Sood SK, Kalra S (2018) Cloud-centric IoT based student healthcare monitoring framework. J Ambient Intell Humaniz Comput 9:1293–1309

    Article  Google Scholar 

  161. Dimitrov S, Haas H (2015) Principles of LED light communications: towards networked Li-Fi. Cambridge University Press, Cambridge

    Book  Google Scholar 

  162. Albraheem LI, Alhudaithy LH, Aljaser AA, Aldhafian MR, Bahliwah GM (2018) Toward designing a Li-Fi-based hierarchical IoT architecture. IEEE Access 6:40811–40825

    Article  Google Scholar 

  163. Hussain SR, Mehnaz S, Nirjon S, Bertino E (2018) Secure seamless bluetooth low energy connection migration for unmodified IoT devices. IEEE Trans Mob Comput 17:927–944

    Article  Google Scholar 

  164. Albalawi U, Joshi S (2018) Secure and trusted telemedicine in internet of things IoT. In: Proceedings of the 2018 IEEE 4thWorld Forum on Internet of Things (WF-IoT), Singapore, 5–8 February 2018; pp 30–34

  165. Galletta A, Carnevale L, Bramanti A, Fazio M (2018) An innovative methodology for big data visualization for telemedicine. IEEE Trans Ind Inform 15:490–497

    Article  Google Scholar 

  166. Amendola S, Lodato R, Manzari S, Occhiuzzi C, Marrocco G (2014) RFID technology for IoT-based personal healthcare in smart spaces. IEEE Internet Things J 1(2):144–152

    Article  Google Scholar 

  167. Santos A, Macedo J, Costa A, João Nicolau M (2014) Internet of things and smart objects for M-health monitoring and control. Procedia Technol 16:1351–1360

    Article  Google Scholar 

  168. Alqudah AM et al (2019) Developing of robust and high accurate ECG beat classification by combining Gaussian mixtures and wavelets features. Australas Phys Eng Sci Med 42:149–157

    Article  Google Scholar 

  169. Gartner says the Internet of Things installed base will grow to 26 billion units by 2020. [Online] Available http://www.gartner.com/newsroom/id/2636073. Accessed 18 Oct 2015

  170. Patra L, Udai PR (2016) Internet of things—architecture, applications, security and other major challenges. In: Computing for Sustainable Global Development (INDIACom), 2016 3rd International Conference on, pp 1201–1206. IEEE

  171. Ometov A, Masek P, Malina L, Florea R, Hosek J, Andreev S, Hajny J, Niutanen J, Koucheryavy Y (2016) Feasibility characterization of cryptographic primitives for constrained (wearable) IoT devices. In: 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) 2016 Mar 14, pp 1–6. IEEE

  172. Polk T, Turner S (2011) Security challenges for the internet of things. [Online] Available http://www.iab.org/wp-content/IABuploads/2011/03/Turner.pdf

  173. Xue-Qing T, Rui-Ping F, Qian G (2009) Identification is the foundation of internet of things [J]. Autom Identif Technol China

  174. Chen M, Gonzalez-Valenzuela S, Zhang Q, Leung V (2010) Software agent-based intelligence for code-centric RFID systems. IEEE Intell Sys. https://doi.org/10.1109/MIS.2010.10

    Article  Google Scholar 

  175. Laranjo I, Macedo J, Santos A (2012) Internet of things for medication control: service implementation and testing. Procedia Technol 5:777–786

    Article  Google Scholar 

  176. Zhou L et al (2010) Context-aware multimedia service in heterogeneous networks. IEEE Intell Sys 25(2):40–47

    Article  Google Scholar 

  177. Lu T, Neng W (2010) Future internet: the internet of things. In: 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)

  178. Hussain AA, Bouachir O-T, Al-Turjman F, Aloqaily M (2020) AI techniques for COVID-19. IEEE Access 8:128776–128795. https://doi.org/10.1109/ACCESS.2020.3007939

    Article  Google Scholar 

  179. Hussain AA, Al-Turjman F (2020) Resource allocation in volunteered cloud computing and battling COVID-19. https://doi.org/10.1201/9781003098881-2

  180. Al-Turjman, F. Baali I (2019) Machine learning for wearable iot-based applications: a survey. Wiley Trans Emerg Telecommun Technolhttps://doi.org/10.1002/ett.3635

  181. Deebak BD, Fadi ALT (2021) Privacy-preserving in smart contracts using blockchain and artificial intelligence for cyber risk measurements. J Info Secur Appl 58:102749. https://doi.org/10.1016/j.jisa.2021.102749

    Article  Google Scholar 

  182. Hussain AA, Dawood, Barakat & Al-Turjman F (2021) Application of AI techniques for COVID-19 in IoT and big data era: a Survey https://doi.org/10.1007/978-3-030-60188-1_9.

  183. Hussain AA, Al-Turjman F, Sah M (2021) Semantic web and business intelligence in big-data and cloud computing era. https://doi.org/10.1007/978-3-030-66840-2_107

  184. Hussain AA, Al-Turjman F, Gemikonaklı E, Ever YK (2021) Design of a navigation system for the blind/visually impaired. https://doi.org/10.1007/978-3-030-69431-9_3

  185. Hussain AA, Dimililer K (2021) Student grade prediction using machine learning in Iot era. https://doi.org/10.1007/978-3-030-69431-9_6

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  1. Computer Engineering Dept., Cyprus West University, İsmet İnönü Boulevard 29, 99450, Famagusta, Turkey

    Adedoyin A. Hussain

  2. Research Centre for AI and IoT, Near East University, Mersin 10, Nicosia, Turkey

    Adedoyin A. Hussain & Barakat A. Dawood

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Hussain, A.A., Dawood, B.A. A survey on IoT-cloud task in healthcare system. J Supercomput 81, 141 (2025). https://doi.org/10.1007/s11227-024-06629-1

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