Energy optimization for mobile nodes in a cluster tree IEEE 802.15.4/ZigBee network

IEEE 802.15.4 proposes a cluster-tree topology to organize a network and to support energy efficient data routing. In this paper, we propose a new approach to manage mobility by adapting this topology. Our approach is based on the link quality indicator (LQI) metric. It aims at anticipating the loss of the association between coordinators and mobile nodes. Hierarchical addresses are attributed to coordinators regarding their position in the network. Then, a speculative algorithm is proposed to choose the next coordinator of association. In this paper, we focus on the consumed energy average and the changing coordinator procedure delay average of moving nodes in the network.