Energy Efficient Data Collection Algorithms Based on Clustering for Mobility Enabled Wireless Sensor Networks
Energy consumption has always been a challenging issue in wireless sensor networks (WSNs) In this paper, we consider the collaboration optimization problem for load balancing with mobility assisted features. In particular, we present a cluster based network structure, in which sensor nodes are partitioned into layers according to transmission radius. Based on a distributed scheme for clustering and cluster heads, rendezvous points (RPs) are introduced and searched through greedy algorithm with geometrical relationship between a specific cluster head and its members. After that, mobile sinks are then introduced to replace the cluster heads in the place where RP has been found. Furthermore, mean squared error of energy in a cluster is used to reduce transmitted packets. Considering another factor, i.e. the data packet, of energy consumption model, we propose an energy optimal algorithm through the quantization approach to balance network load and allocate node's transmitted traffic. Finally, we analyze the cluster lifetimes in different scenarios and achieve balance to save significant energy.
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