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Time-Critical Transmission Protocols in Wireless Sensor Networks: A Survey

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Emerging Research in Computing, Information, Communication and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 882))

Abstract

Wireless Sensor Network (WSN) is an extremely important tool for closely monitoring, understanding and controlling application processes to the end users. The main purpose behind installing the wireless sensor network is to make real-time decisions based on data received from the sensor nodes. This data transmission from sensor nodes to the base station is considered to be very complicated because of the resources and communication capability constraints of various sensor nodes and enormous amount of data is generated by WSNs. Real-time applications in WSN like mission-critical monitoring, surveillance systems, etc., demands well-timed and reliable delivery of data. For such applications, besides energy, Quality of Services (QoS) routing, i.e., requirement of message delivery timeliness is also one of the significant issues. Based on the type of application, it is essential to grant different levels of QoS in WSNs. In this paper, QoS requirements for mission-critical WSNs applications are highlighted and existing QoS-aware protocols to support such applications are discussed with their boundaries in that domain.

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References

  1. Al-Karaki, J. N., & Kamal, A. E. (2004). Routing techniques in wireless sensor networks: A survey. IEEE Wireless Communications, 11, 6–28.

    Article  Google Scholar 

  2. Li, Y., Chen, C. S., Song, Y.-Q., & Wang, Z. (2007). Real-time QoS support in wireless sensor networks: A survey. In 7th IFAC International Conference on Fieldbuses & Networks in Industrial & Embedded Systems - FeT’2007, Nov 2007, Toulouse, France.

    Google Scholar 

  3. Arampatzis, T., Lygeros, J., & Manesis, S. (2005). A survey of applications of wireless sensors and wireless sensor networks. In Proceedings of the 20th IEEE International Symposium on Intelligent Control (ISIC 05) (pp. 719–724), June 2005.

    Google Scholar 

  4. Chen, D., & Varshney, P. K. (2004). QoS support in wireless sensor network: A survey. In Proceedings of International Conference on Wireless Networks (ICWN2004), Las Vegas, Nevada, USA, June 2004.

    Google Scholar 

  5. Balen, J., Zagar, D, & Martinovic, G. Quality of service in wireless sensor networks: a survey and related patents.

    Google Scholar 

  6. Raut, A. R., & Malik, L. G. (2011, May). ZigBee based industrial automation profile for power monitoring systems. International Journal on Computer Science and Engineering (IJCSE), 3(5), 2028–2033 ISSN: 0975-3397.

    Google Scholar 

  7. Raut, A. R., & Malik, L. (2011). ZigBee: The emerging technology in building automation. International Journal on Computer Science and Engineering, 3(4), 1479–1484.

    Google Scholar 

  8. Suriyachai, P., Roedig, U., & Scott, A. (2012, Second Quarter). A survey of MAC protocols for mission-critical applications in wireless sensor networks. IEEE Communications Surveys & Tutorials, 14(2).

    Google Scholar 

  9. Ye, W., Heidemann, J., & Estrin, D. (2002). An energy-efficient MAC protocol for wireless sensor networks. In Proceedings of the 21st Annual Joint Conference IEEE Computer and Communications Societies, New York, NY, USA (Vol. 3, pp. 1567–1576).

    Google Scholar 

  10. Van Dam, T., & Langendoen, K. (2003). An adaptive energy-efficient MAC protocol for wireless sensor networks. In Proceedings of the 1st ACM Conference on Embedded Networked Sensor Systems, Los Angeles, CA, USA, 2003 (pp. 171–180).

    Google Scholar 

  11. Polastre, J., Hill, J., & Culler, D. (2004). Versatile low power media access for wireless sensor networks. In: Proceedings of ACM Sensys (pp. 95–107).

    Google Scholar 

  12. Lu, G., Krishnamachari, B., & Raghavendra, C. S. (2004). An adaptive energy efficient and low-latency MAC for data gathering in wireless sensor networks. In Proceedings of the 18th International Parallel and Distributed Processing Symposium, Santa Fe, NM, USA, 2004 (pp. 224–231).

    Google Scholar 

  13. Bacco, G. D., Melodia, T., & Cuomo, F. (2004). A MAC protocol for delay-bounded applications in wireless sensor networks. In Proceedings of the Med Hoc-Networks 2004 (pp. 208–220).

    Google Scholar 

  14. Ergen, S. C., & Varaiya, P. (2006). PEDAMACS: power efficient and delay aware medium access protocol for sensor networks. IEEE Transactions on Mobile Computing, 5, 920–930.

    Article  Google Scholar 

  15. Yoo, S., Chong, P. K., Doh, Y., Pham, M.-L., Kim, D., Choi, E., & Huh, J. (2010, November). Guaranteeing real-time services for industrial wireless sensor networks with IEEE 802.15.4. IEEE Transactions On Industrial Electronics, 57(11), 3868–3876.

    Google Scholar 

  16. Hea, T., Stankovica, J. A., Lub, C., & Abdelzahera, T. SPEED: A stateless protocol for real-time communication in sensor networks. In: Proceedings of the ICDCS (pp. 46–55).

    Google Scholar 

  17. Felemban, E., Lee, C., & Ekici, E. (2006). MMSPEED: Multipath multi SPEED protocol for QoS guarantee of reliability and timeliness in wireless sensor networks. IEEE Transactions on Mobile Computing, 5, 738–754.

    Article  Google Scholar 

  18. Suriyachai, P., Roedig, U., & Scott, A. (2009). Implementation of a MAC protocol for QoS support in wireless sensor networks. In Proceedings of the 1st International Workshop Information Quality and Quality of Service for Pervasive Computing, in conjunction with 7th Annual IEEE International Conference on Pervasive Computing and Communications, Galveston, TX, USA, 2009 (pp. 1–6).

    Google Scholar 

  19. Strasser, M., Meier, A., Langendoen, K., & Blum, P. (2007). Dwarf: Delay-aware robust forwarding for energy-constrained wireless sensor networks. In Proceedings of the 3rd IEEE International Conference on Distributed Computing in Sensor Systems, Santa Fe, NM, USA, 2007 (pp. 64–81).

    Google Scholar 

  20. HART Communication Foundation. WirelessHART technology. [Online]. Available: http://www.hartcomm.org/protocol/wihart/wireless_technology.html, December 2009.

  21. Suriyachai, P., Brown, J., & Roedig, U. (2010). Time-critical data delivery in wireless sensor networks. In Proceedings of the 6th IEEE International Conference on Distributed Computing in Sensor Systems, Santa Barbara, CA, USA, 2010 (pp. 216–229).

    Google Scholar 

  22. Li, Y., & Chen, C. S. (2009, May). Enhancing real-time delivery in wireless sensor networks with two-hop information. IEEE Transactions On Industrial Informatics, 5(2), 113–122.

    Google Scholar 

  23. Koubâa, A., Severino, R., Alves, M., & Tovar, E. (2009, August). Improving quality-of-service in wireless sensor networks by mitigating “hidden-node collisions”. IEEE Transactions on Industrial Informatics, 5(3), 299–313.

    Google Scholar 

  24. Jeong, J., & Kim, J. (2010). A QoS-aware data aggregation in wireless sensor networks. In 12th International Conference on Advanced Communication Technology (ICACT), February 7–10, 2010.

    Google Scholar 

  25. Subramanian, A. K., & Paramasivam, I. (2016). PRIN: A priority-based energy efficient MAC protocol for wireless sensor networks varying the sample inter-arrival time. https://doi.org/10.1007/s11277-016-3581-5 (Springer Science Business Media, New York).

    Article  Google Scholar 

  26. Lin, K., & Rodrigues, J. J. P. C. (2011, December). Energy efficiency QoS assurance routing in wireless multimedia sensor networks. IEEE Systems Journal, 5(4).

    Google Scholar 

  27. Heikalabad, S., Rasouli, H., Nematy, F., & Rahmani, N. (2011, January). QEMPAR: QoS and energy aware multi-path routing algorithm for real-time applications in wireless sensor networks. IJCSI International Journal of Computer Science Issues, 8(1).

    Google Scholar 

  28. Zhao, J., Qiao, C., & Sudhaakar, R. S., & Yoon, S. (2013, March). Improve efficiency and reliability in single-hop WSNs with transmit-only nodes. IEEE Transactions on Parallel and Distributed Systems, 24(3).

    Google Scholar 

  29. AbdelSalam, H. S., & Olariu, S. (2011, November). Toward efficient task management in wireless sensor networks. IEEE Transactions on Computers, 60(11).

    Google Scholar 

  30. Dong, M., & Ota, K. Joint optimization of lifetime and transport delay under reliability constraint wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, TPDS-2013-12-1250.

    Google Scholar 

  31. Shanti, C., & Sahoo, A. (2010, October). DGRAM: A delay guaranteed routing and AC protocol for wireless sensor networks. IEEE Transactions on Mobile Computing, 9(10).

    Google Scholar 

  32. Pöttner, W.-B., & Seidel, H. (2016, January). Constructing schedules for time-critical data delivery in wireless sensor networks. ACM Transactions on Sensor Networks, V(N), Article A.

    Google Scholar 

  33. Mohammad, B. M., Abd Kader, S., & Konber, H. A. Designing a channel access mechanism for wireless sensor network. Wireless Communications and Mobile Computing, 2017, Article ID 7493269, 31 p. https://doi.org/10.1155/2017/7493269.

    Article  Google Scholar 

  34. Richert, V., & NaumanIsrar, B. Implementation of a modified wireless sensor network MAC protocol for critical environments. Wireless Communications and Mobile Computing, 2017, Article ID 2801204, 23 p. https://doi.org/10.1155/2017/2801204.

    Article  Google Scholar 

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Correspondence to Archana R. Raut .

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Raut, A.R., Khandait, S.P., Shrawankar, U. (2019). Time-Critical Transmission Protocols in Wireless Sensor Networks: A Survey. In: Shetty, N., Patnaik, L., Nagaraj, H., Hamsavath, P., Nalini, N. (eds) Emerging Research in Computing, Information, Communication and Applications. Advances in Intelligent Systems and Computing, vol 882. Springer, Singapore. https://doi.org/10.1007/978-981-13-5953-8_30

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  • DOI: https://doi.org/10.1007/978-981-13-5953-8_30

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