A Joint Mobility Management Approach and Data Rate Adaptation Algorithm for IEEE 802.15.4/ZigBee Nodes

DOI: 10.4236/wsn.2014.62004   PDF   HTML   XML   3,135 Downloads   5,359 Views   Citations


This paper presents an original approach to reduce energy consumption in an IEEE 802.15.4/ZigBee cluster tree network related to a backbone network. Our approach uses an enhanced mobility management of end devices combined with a rate adaptation algorithm. The mobility management approach anticipates link disruption and relies on a speculative algorithm that does not require scanning neighbor cells. The joint mobility management and rate adaptation methods are based on the link quality indicator (LQI). It is demonstrated that even in a noisy environment, the energy consumption as well as the latency of mobile devices can be significantly reduced.

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C. Chaabane, A. Pegatoquet, M. Auguin and M. Ben Jemaa, "A Joint Mobility Management Approach and Data Rate Adaptation Algorithm for IEEE 802.15.4/ZigBee Nodes," Wireless Sensor Network, Vol. 6 No. 2, 2014, pp. 27-34. doi: 10.4236/wsn.2014.62004.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] IEEE 802.15 WPAN Task Group 4 (TG4), “IEEE 802.15.4-2006 standard: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low Rate Wireless Personal Area Networks (LR-WPANs),” 2006.
[2] Zigbee Alliance Homepage.
[3] C. Chaabane, A. Pegatoquet, M. Auguin and M. B. Jemaa, “Energy Optimization for Mobile Nodes in a Cluster Tree IEEE 802.15.4/ZigBee,” Computing, Communications and Applications Conference, Hong Kong, 11-13 January 2012, pp. 328-333.
[4] L. Chen, T. Sun and N. Liang, “An Evaluation Study of Mobility Support in ZigBee Networks,” Journal of Signal Processing Systems, Vol. 59, No. 1, 2010, pp. 111-122.
[5] C. Chaabane, A. Pegatoquet, M. Auguin and M. Ben-Jemaa, “An Efficient Mobility Management Approach for IEEE 802.15.4/ZigBee Nodes,” High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems (HPCC-ICESS), Liverpool, 25-27 June 2012, pp. 897-902.
[6] C. Chaabane, A. Pegatoquet, M. Auguin and M. Ben-Jemaa, “Mobility Management Approach for IEEE 802.15.4/ ZigBee Nodes in a Noisy Environment,” Proceedings of 26th International Conference on Architecture of Computing Systems (ARCS), Prague, 19-22 February 2013, pp. 1-5.
[7] S. Biaz and S. E. Wu, “Rate Adaptation Algorithms for IEEE 802.11 Networks: A Survey and Comparison,” IEEE Symposium on Computers and Communications, Marrakech, 6-9 July 2008, pp. 130-136.
[8] CC2500 Single Chip Low Cost Low Power RF Transceiver Datasheet (Rev. C), 19 May 2009, Texas Instruments. http://www.ti.com/product/cc2500
[9] S. Lanzisera, A. M. Mehta and K. S. J. Pister, “Reducing Average Power in Wireless Sensor Networks through Data Rate Adaptation,” Proceedings of the 2009 IEEE International Conference on Communications, Dresden, 14-18 June 2009, IEEE Press, Piscataway, pp. 480-485.
[10] F. Martelli, R. Verdone and C. Buratti, “Link Adaptation in Wireless Body Area Networks,” Proceedings of IEEE VTC Spring, Budapest, 15-18 May 2011, pp. 1-5.
[11] M. Lacage, M. H. Manshaei and T. Turletti, “IEEE 802.11 Rate Adaptation: A Practical Approach,” Proceedings of the 7th ACM International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM ‘04), Venice, 4-6 October 2004, ACM, New York, pp. 126-134.
[12] G. Holland, N. Vaidya and P. Bahl, “A Rate Adaptive mac Protocol for Multi-Hop Wireless Networks,” Proceedings of the 7th Annual International Conference on Mobile Computing and Networking (MobiCom ‘01), Rome, 16-21 July 2001, ACM, New York, pp. 236-251.
[13] M. Vutukuru, H. Balakrishnan and K. Jamieson, “Cross-Layer Wireless Bit Rate Adaptation,” Proceedings of the ACM SIGCOMM 2009 Conference on Data Communication (SIGCOMM ‘09), Barcelona, 17-21 August 2009, ACM, New York, pp. 3-14.
[14] G. Box, and M. Muller, “A Note on the Generation of Random Normal Deviates,” Annals of Mathematical Statistics, Vol. 29, No. 2, 1958, pp. 610-611.
[15] “Ns-2Simulator,” Version ns-2.34, 2009.

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