一种基于能量预测的无线传感器网络分簇算法

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

为了解决无线传感器网络能量有效利用的问题,提出一种利用能量预测选择簇头节点的分簇算法:CHEP利用文中建立的传感器节点工作状态转换模型,CHEP算法将所得的剩余能量预测参数作为考虑因素引入阀值的计算,从而使高剩余能量且能耗较慢的节点能够在每一轮中被优先选为簇头节点.通过仿真实验,将CHEP与其他分簇算法进行分析和比较,验证了CHEP算法中能量预测机制以及阀值改进的有效性.结果表明CHEP能够更好地平衡网络负载,延长网络寿命.

To solve the energy efficiency problem in the wireless sensor networks（WSNs）, a clustering hierarchy arithmetic based on energy prediction （CHEP） was presented. Taking use of the sensor nodes state diversion module,the proposed remaining energy was added as a considered parameter in calculating the threshold in CHEP. Hence it can guarantee the node with high remaimng energy be chosen as the cluster-head node in priority in each round. From the experiments, we analyzed the performance of CHEP and compared it with other cluster-based routing arithmetics where there was no prediction used in selecting the cluster-head node. It was satisfied that the arithmetic of CHEP could prove the validity of energy prediction mechanism and threshold amended. Simulation results show that the process of CHEP can balance the energy load in the network and prolong the lifetime of the network.