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Cooperative Association/Re-association Approaches to Optimize Energy Consumption for Real-Time IEEE 802.15.4/ZigBee Wireless Sensor Networks

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Abstract

The major challenge of real-time Wireless Sensor Networks stills the optimization of both constraints: energy consumption, to get long network lifetime and the communication delay, to meet real-time requirements. In the context of IEEE 802.15.4/ZigBee networks, the association procedure has a direct effect on building paths optimizing those constraints. In this paper, we are interested on the definition of an ideal approach of load balancing to fairly distribute energy consumption among nodes in IEEE 802.15.4/ZigBee WSNs. This approach leads to conserve energy of each node in order to extend the network lifetime. To be closer to this ideal, we propose new dynamic association/re-association approaches allowing path alternation relative to association criteria and their threshold parameters. The implementation of those approaches in NS2 simulator highlights the efficiency of cooperative and dynamic association criteria particularly the one based on the sum of the inverses of remaining energy. Indeed, this approach gives better results with regard to energy distribution according to ideal approach which leads to a longer lifetime. It also performs lower latency for real time communication.

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References

  1. Abbagnale, A., Cipollone, E., & Cuomo, F. (2008). Constraining the network topology in IEEE 802.15.4. In P. Cuenca, C. Guerrero, R. Puigjaner, B. Serra (Eds.), IFIP, advances in ad hoc networking: 7th annual mediterranean ad hoc networking workshop (Med-Hoc-Net 2008) (Vol. 265, pp. 167–178) Palma de Mallorca, June 2008. Boston: Springer.

  2. Anastasi, G., Conti, M., & Di Francesco, M. (2011). A comprehensive analysis of the MAC unreliability problem in IEEE 802.15.4 wireless sensor networks. IEEE Transactions on Industrial Informatics, 7(1), 52–65.

  3. Ayoub, Z. T., Ouni, S., & Kamoun, F. (2011). Association criteria to optimize energy consumption and latency for IEEE 802.15.4/ZigBee wireless sensor networks. In Proceedings of the 4th joint IFIP wireless and mobile networking conference 2011 (WMNC 2011), October 2011.

  4. Ben Attia, S., Cunha, A., Koubâa, A., & Alves, M. (2007). Fault-tolerance mechanisms for ZigBee wireless sensor networks. In Euromicro conference on real-time systems (ECRTS 2007), Pisa (Italy), July 2007.

  5. Bougard, B., Catthoor, F., Daly, D. C., Chandrakasan, A., & Dehaene, W. (2005). Energy efficiency of the IEEE 802.15.4 standard in dense wireless microsensor networks: Modeling and improvement perspectives. In Proceedings of design, automation, and test in european conference and exhibition (DATE’05) (pp. 196–201), March 2005.

  6. Chen, J., Zhu, P., & Qi, Z. (2007). In PR-MAC: Path-oriented real-time MAC protocol for wireless sensor network, ICESS 2007, (pp. 530–539).

  7. Cho, J., & An, S. (2008). An adaptive beacon scheduling mechanism using power control in cluster-tree WPANs, WPC 2008, September 2008.

  8. Ergen, S. C., & Varaiya, P. (2007). Energy efficient routing with delay guarantee for sensor networks. ACM Wireless Networks Journal, 13(5), 679–690.

    Article  Google Scholar 

  9. Gao, B., & He, C. (2008). An individual beacon order adaptation algorithm for IEEE 802.15.4 Networks. In Proceedings of IEEE international conference on communications systems, November 2008.

  10. IEEE-TG15.4. (2006). Part 15.4: Wireless medium access control (MAC) and physical layer (PHY) specifications for low-rate wireless personal area networks (LR-WPANs). IEEE standard for information technology.

  11. Karl, H., & Willig, A. (2005). Protocols and architectures for wireless sensor networks. New York: Wiley.

    Book  Google Scholar 

  12. Kim, T., Kim, D., Park, N., Yoo, S. E., & Lopez, T. S. (2007). Shortcut tree routing in ZigBee networks. In Proceedings of IEEE international symposium on wireless pervasive computing, San Juan, Puerto Rico, Feb. 2007.

  13. Koubaa, A., Alves, M., Tovar, E., & Cunha, A. (2008). An implicit GTS allocation mechanism in IEEE 802.15.4 for time-sensitive wireless sensor networks: theory and practice. Real-Time Systems Journal, 39(1–3), 169–204, August 2008, Springer.

    Google Scholar 

  14. Koubaa, A., Cunha, A., Alves, M., & Tovar, E. (2008). TDBS: a time division beacon scheduling mechanism for ZigBee cluster-tree wireless sensor networks. Real-Time Systems Journal, 40(3), 321–354, Springer.

    Google Scholar 

  15. Kumar, P., Günes, M., Almamou, A., & Hussain, I. (2008). Enhancing IEEE 802.15.4 for low-latency, bandwidth, and energy critical WSN applications. In 4th international conference on emerging technologies (IEEE ICET 2008), Rawalpindi, Pakistan, October 2008.

  16. Othman, F., Bouabdallah, N., & Boutaba, R. (2008). Load-balanced routing scheme for energy-efficient wireless sensor networks. New Orleans: IEEE GLOBECOM 2008.

    Google Scholar 

  17. Ouni, S., Gherairi, S., & Kamoun, F. (2011). Real-time quality of service with delay guarantee in sensor networks. International Journal of Sensor Networks, 9(1), 2011.

    Article  Google Scholar 

  18. Pegatoquet, A., Auguin, M., & Ben Jemaa, M. (2012). Energy optimization for mobile nodes in a cluster tree. IEEE 802.15.4/ZigBee network, Computing, Communications and Applications Conference (ComComAp), 11–13 Jan. 2012.

  19. Pothuri, P. K., Ranganathan, D. L., Venkatesh, S., & Sridhar, R. (2010). Energy-efficient routing in Wireless Sensor Networks for delay sensitive applications. International Journal of Ad Hoc and Ubiquitous Computing, 5(2/2010), 103–116.

    Article  Google Scholar 

  20. Puccinelli, D., Sifakis, E., & Haenggi, M. (2005). A cross-layer approach to energy balancing in wireless sensor networks. In Workshop on networked embedded sensing and control (NESC’05), Notre Dame, IN, USA.

  21. Shuaib, K., Alnuaimi, M., Boulmalf, M., Jawhar, I., Sallabi, F., & Lakas, A. (2007). Performance evaluation of IEEE 802.15.4: Experimental and simulation results. Journal of Communications, 2(4), 29–37.

    Article  Google Scholar 

  22. Song, J., Kim, S., Kim, H., & Mah, P. (2007). In An energy-efficient and traffic-aware CSMA/CA algorithm for LR-WPAN, ICESS 2007 (pp. 791–799).

  23. Staehle, B. (May 2009). Optimizing the association procedure for low-power 802.15.4 nonbeacon sensor networks, networking 2009, Aachen, Germany.

  24. Sun, T., Liang, N., Chen, L., Chen, P., & Gerla, M. (2007). Evaluating Mobility Support in ZigBee Networks, computer science.

  25. Zhang, F., Wang, F., Dai, B., & Li, Y. (2008). Performance evaluation of IEEE 802.15.4 beacon-enabled association process, AINAW 2008, March 2008.

  26. Zhang, F., Wang, F., Dai, B., & Li, Y. (2008). Performance evaluation of IEEE 802.15.4 beacon-enabled association process. In 22nd ainaw international conference on advanced information networking and applications—workshops (pp. 541–546).

  27. Zheng, J., & Lee, M. J. (2004). A comprehensive performance study of IEEE 802.15.4. In Sensor network operations (pp. 218–237). Los Alamitos: IEEE Press.

  28. ZigBee Alliance. (2006). ZigBee Specification, 2006.

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Authors and Affiliations

  1. RAMSIS, CRISTAL Laboratory, Ecole Nationale des Sciences de l’Informatique, Manouba, Tunisia

    Sofiane Ouni & Zayneb Trabelsi Ayoub

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  1. Sofiane Ouni
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  2. Zayneb Trabelsi Ayoub
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Correspondence to Sofiane Ouni.

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Ouni, S., Ayoub, Z.T. Cooperative Association/Re-association Approaches to Optimize Energy Consumption for Real-Time IEEE 802.15.4/ZigBee Wireless Sensor Networks. Wireless Pers Commun 71, 3157–3183 (2013). https://doi.org/10.1007/s11277-013-0996-0

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  • DOI: https://doi.org/10.1007/s11277-013-0996-0

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