Author(s)

Chiraz Chaabane, Alain Pegatoquet, Michel Auguin, Maher Ben Jemaa

Laboratoire d’Electronique Antennes et Télécommunications (LEAT), University of Nice Sophia Antipolis, Nice, France.
Laboratoire d’Electronique Antennes et Télécommunications (LEAT), University of Nice Sophia Antipolis, Nice, France; RedCAD, University of Sfax, Sfax, Tunisia.
RedCAD, University of Sfax, Sfax, Tunisia.

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.

IEEE 802.15.4; Mobility; Rate Adaptation; Energy Consumption

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.