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Two Fuzzy-Based Systems for Selection of Actor Nodes inWireless Sensor and Actor Networks: A Comparison Study Considering Security Parameter Effect

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Abstract

A group of wireless devices with the ability to sense physical events (sensors) or/and to perform relatively complicated actions (actors), is referred to as Wireless Sensor and Actor Network (WSAN). In WSANs, sensors gather information about the physical events, while actors perform appropriate actions upon the environment, based on the sensed data shared by sensors. In order to provide effective sensing and acting, a distributed local coordination mechanism is necessary among sensors and actors. In this work, we propose and implement two Fuzzy Based Actor Selection Systems (FBASS): FBASS1 and FBASS2. We focus on actor selection problem and implement two fuzzy-based system. The systems decide whether the actor will be selected for the required job or not, based on data supplied by sensors and actual actor condition. We use three input parameters for FBASS1: Type of Required Action (TRA), Distance to Event (DE) and Remaining Power (RP). In FBASS2, we add the Security (SC) parameter as additional parameter. The output parameter for both systems is Actor Selection Decision (ASD). The simulation results show that the proposed systems decide the actor selection in order to have short delays, low energy consumption and proper task assignment. Comparing FBASS1 with FBASS2, the FBASS2 is more complex than FBASS1, because it has more rules in FRB. However, FBASS2 is able to decide secure actor nodes, which makes the system more secure.

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References

  1. Akyildiz I, Su W, Sankarasubramaniam Y, Cayirci E (2002) Wireless sensor networks: a survey. Comput Netw (Elsevier) 38(4):393–422

    Article  Google Scholar 

  2. Felita C, Suryanegara M (2013) 5g key technologies: Identifying innovation opportunity. In: 2013 International Conference on QiR (Quality in Research), pp 235–238

  3. Gohil A, Modi H, Patel S (2013) 5g technology of mobile communication: a survey. In: 2013 international conference on intelligent systems and signal processing (ISSP), pp 288–292

  4. Evans-Pughe C (2003) Bzzzz zzz [zigbee wireless standard]. IEE Review 49(3):28–31

    Article  Google Scholar 

  5. Akyildiz IF, Kasimoglu IH (2004) Wireless sensor and actor networks: research challenges. Ad Hoc Netw J (Elsevier) 2(4):351–367

    Article  Google Scholar 

  6. Haider N, Imran M, Saad N, Zakariya M (2013) Performance analysis of reactive connectivity restoration algorithms for wireless sensor and actor networks. In: IEEE Malaysia International Conference on Communications (MICC-2013), pp 490– 495

  7. Abbasi A, Younis M, Akkaya K (2009) Movement-assisted connectivity restoration in wireless sensor and actor networks. IEEE Transactions on Parallel and Distributed Systems 20(9):1366–1379

    Article  Google Scholar 

  8. Li X, Liang X, Lu R, He S, Chen J, Shen X (2011) Toward reliable actor services in wireless sensor and actor networks. In: 2011 IEEE 8th international conference on mobile adhoc and sensor systems (MASS), pp 351–360

  9. Akkaya K, Younis M (2006) Cola: a coverage and latency aware actor placement for wireless sensor and actor networks. In: IEEE 64th conference on vehicular technology (VTC-2006) Fall, pp 1–5

  10. Kakarla J, Majhi B (2013) A new optimal delay and energy efficient coordination algorithm for wsan. In: 2013 IEEE International Conference on Advanced Networks and Telecommuncations Systems (ANTS), pp 1–6

  11. Kruger J, Polajnar D, Polajnar J (2006) An open simulator architecture for heterogeneous self-organizing networks. In: CCECE ’06. Canadian conference on electrical and computer engineering, 2006, pp 754–757

  12. Akbas M, Turgut D (Oct 2011) Apawsan: actor positioning for aerial wireless sensor and actor networks. In: 2011 IEEE 36th conference on local computer networks (LCN), pp 563–570

  13. Akbas M, Brust M, Turgut D (2010) Local positioning for environmental monitoring in wireless sensor and actor networks. In: 2010 IEEE 35th conference on local computer networks (LCN), pp 806–813

  14. Lameski P, Zdravevski E, Kulakov A, Davcev D (2011) Architecture for wireless sensor and actor networks control and data acquisition. In: 2011 international conference on distributed computing in sensor systems and workshops (DCOSS), pp 1–3

  15. Melodia T, Pompili D, Gungor V, Akyildiz I (2007) Communication and coordination in wireless sensor and actor networks. IEEE Transactions on Mobile Computing 6(10):1126–1129

    Article  Google Scholar 

  16. Gungor V, Akan O, Akyildiz I (2008) A real-time and reliable transport (rt2) protocol for wireless sensor and actor networks. IEEE/ACM Transactions on Networking 16(2):359–370

    Article  Google Scholar 

  17. Estrin D, Govindan R, Heidemann S K J (1999) Next century challenges: scalable coordination in sensor networks. In: Proceedings of the ACM/IEEE international conference on mobile computing and networking (Mobicom-1999), Seattle, pp 263–270

  18. Mo L, Xu B (2013) Node coordination mechanism based on distributed estimation and control in wireless sensor and actuator networks. J Control Theory Appl 11(4):570–578. [Online]. Available. doi:10.1007/s11768-013-2266-9

    Article  MathSciNet  Google Scholar 

  19. Goldsmith A, Wicker S (2002) Design challenges for energy-constrained ad hoc wireless networks. IEEE J Wirel 9(4):8–27

    Article  Google Scholar 

  20. Selvaradjou K, Handigol N, Franklin A, Murthy C (2010) Energy-efficient directional routing between partitioned actors in wireless sensor and actor networks. Communications, IET 4(1):102– 115

    Article  Google Scholar 

  21. Haenggi M (2002) Mobile sensor-actuator networks: opportunities and challenges. In: Proceedings of 7th IEEE international workshop on cellular neural networks and their applications (CNNA-2002), pp 283–290

  22. Melodia T, Pompili D, Akyldiz I (2010) Handling mobility in wireless sensor and actor networks. IEEE Trans Mob Comput 9(2):160–173

    Article  Google Scholar 

  23. Nakayama H, Fadlullah Z, Ansari N, Kato N (2011) A novel scheme for wsan sink mobility based on clustering and set packing techniques. IEEE Trans Autom Control 56(10):2381–2389

    Article  MathSciNet  Google Scholar 

  24. Kulla E, Oda T, Barolli L (2014) A fuzzy-based method for selection of actor nodes in wireless sensor and actor networks. In: The 9th international conference on broadband and wireless computing, communication and applications (BWCCA-2014) , pp 1–7

  25. Elmazi D, Inaba T, Sakamoto S, Oda T, Ikeda M, Barolli L (2015) Selection of secure actors in wireless sensor and actor networks using fuzzy logic. In: The 10th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA-2015), pp 125–131

  26. Inaba T, Sakamoto S, Kolici V, Mino G, Barolli L (2014) A CAC scheme based on fuzzy logic for cellular networks considering security and priority parameters. In: The 9-th international conference on broadband and wireless computing, communication and applications (BWCCA-2014), pp 340–346

  27. Spaho E, Sakamoto S, Barolli L, Xhafa F, Barolli V, Iwashige J (2013) A Fuzzy-Based System for Peer Reliability in JXTA-Overlay P2P Considering Number of Interactions. In: The 16th International Conference on Network-Based Information Systems (NBiS-2013), pp 156–161

  28. Matsuo K, Elmazi D, Liu Y, Sakamoto S, Mino G, Barolli L (2015) FACS-MP: a fuzzy admission control system with many priorities for wireless cellular networks and its performance evaluation. J High Speed Netw 21(1):1–14

    Article  Google Scholar 

  29. Liu Y, Sakamoto S, Matsuo K, Ikeda M, Barolli L, Xhafa F (2015) Improving reliability of JXTA-overlay p2p platform: a comparison study for two fuzzy-based systems. J High Speed Netw 21(1):27–45

    Article  Google Scholar 

  30. Grabisch M (1996) The application of fuzzy integrals in multicriteria decision making. Eur J Oper Res 89 (3):445–456

    Article  MATH  Google Scholar 

  31. Inaba T, Elmazi D, Liu Y, Sakamoto S, Barolli L, Uchida K (2015) Integrating wireless cellular and ad-hoc networks using fuzzy logic considering node mobility and security. In: The 29th IEEE International Conference on Advanced Information Networking and Applications Workshops (WAINA-2015), pp 54–60

  32. Kulla E, Mino G, Sakamoto S, Ikeda M, Caballé S, Barolli L (2014) FBMIS: a fuzzy-based multi-interface system for cellular and ad hoc networks. In: International Conference on Advanced Information Networking and Applications (AINA-2014), pp 180–185

  33. Elmazi D, Kulla E, Oda T, Spaho E, Sakamoto S, Barolli L (2015) A comparison study of two fuzzy-based systems for selection of actor node in wireless sensor actor networks. J Ambient Intel Humanized Computing:1–11

  34. Zadeh L (1994) Fuzzy logic, neural networks, and soft computing. ACM Commun:77–84

  35. Spaho E, Sakamoto S, Barolli L, Xhafa F, Ikeda M (2014) Trustworthiness in P2P: Performance Behaviour of Two Fuzzy-based Systems for JXTA-overlay Platform. Soft Computing 18(9):1783–1793

    Article  Google Scholar 

  36. Inaba T, Sakamoto S, Kulla E, Caballe S, Ikeda M, Barolli L (2014) An integrated system for wireless cellular and ad-hoc networks using fuzzy logic. In: International conference on intelligent networking and collaborative systems (INCoS-2014), pp 157–162

  37. Matsuo K, Elmazi D, Liu Y, Sakamoto S, Barolli L (2015) A multi-modal simulation system for wireless sensor networks: a comparison study considering stationary and mobile sink and event. J Ambient Intel Humanized Computing:1–11

  38. Kolici V, Inaba T, Lala A, Mino G, Sakamoto S, Barolli L (2014) A fuzzy-based CAC scheme for cellular networks considering security. In: International conference on network-based information systems (NBiS-2014), pp 368– 373

  39. Liu Y, Sakamoto S, Matsuo K, Ikeda M, Barolli L, Xhafa F (2015) A comparison study for two fuzzy-based systems: improving reliability and security of JXTA-overlay P2P platform. Soft Comput:1–11

  40. Matsuo K, Elmazi D, Liu Y, Sakamoto S, Mino G, Barolli L (2015) FACS-MP: a fuzzy admission control system with many priorities for wireless cellular networks and its perforemance evaluation. J High Speed Netw 21(1):1–14

    Article  Google Scholar 

  41. Mendel JM (1995) Fuzzy logic systems for engineering: a tutorial. Proc IEEE 83(3):345–377

    Article  Google Scholar 

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Authors and Affiliations

  1. 3-30-1 Wajiro-Higashi, Higashi-ku, 811-0295, Fukuoka, Japan

    Donald Elmazi, Shinji Sakamoto, Tetsuya Oda & Leonard Barolli

  2. 1-1 Ridai-cho, Kita-Ku, Okayama, 700-0005, Japan

    Elis Kulla

  3. Bul. “Dëshmorët e Kombit”, “Mother Theresa” Square, Nr. 4, Tirana, Albania

    Evjola Spaho

Authors
  1. Donald Elmazi
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  2. Shinji Sakamoto
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  3. Tetsuya Oda
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  4. Elis Kulla
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  5. Evjola Spaho
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  6. Leonard Barolli
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Corresponding author

Correspondence to Leonard Barolli.

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Elmazi, D., Sakamoto, S., Oda, T. et al. Two Fuzzy-Based Systems for Selection of Actor Nodes inWireless Sensor and Actor Networks: A Comparison Study Considering Security Parameter Effect. Mobile Netw Appl 21, 53–64 (2016). https://doi.org/10.1007/s11036-015-0673-5

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  • DOI: https://doi.org/10.1007/s11036-015-0673-5

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