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A Fixed Clustering Hierarchy Arithmetic Based on Energy Prediction for Wireless Sensor Networks

To solve the energy efficiency problem in the wireless sensor networks(WSNs), a fixed clustering hierarchy arithmetic based on energy prediction (FCHEP) was presented. Taking use of the signal intensity of sensor nodes to form an autonomic cluster, the cluster-head node could predict the remaining energy of nodes in the cluster by the state diversion module, hence, the node with highest remaining energy could be appointed as the next cluster-head node during the cluster-head rotation. From the experiments, we analyzed the performance of FCHEP and compared it with other cluster-based routing arithmetic. It was satisfied that the arithmetic of FCHEP could prove the validity of energy prediction mechanism and threshold amended. Simulation results showed that the process of FCHEP can balance the energy load in the network and prolong the lifetime of the network.