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.
Cite this paper
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