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无线传感器网络因其节点能量受限,使得节省能量成为无线传感器网络研究的重点和热点之一。为了能够有效降低分簇无线传感器网络在分簇时的能量消耗,给出一种能量高效的无线传感器网络自适应分簇算法。该方案首先根据能耗最小原则计算出最优簇头数,然后按照区域聚类方法进行分簇,最后各簇根据节点剩余能量和数据传输能耗代价选举簇头。性能分析结果表明,该方案能有效降低节点能耗,防止簇头节点因能耗过快而过早失效,从而提升网络的稳定性,延长网络生命周期。
Wireless sensor networks have become one of the focuses and hot spots in the research of wireless sensor networks due to the limited energy of their nodes. In order to reduce the energy consumption of clustering wireless sensor networks in clustering, an energy-efficient adaptive clustering algorithm for wireless sensor networks is proposed. In this scheme, the optimal cluster head number is calculated according to the principle of the least energy consumption, and then clustered according to the regional clustering method. Finally, cluster heads are elected based on the residual energy of nodes and the energy consumption of data transmission. The performance analysis results show that this scheme can effectively reduce the node energy consumption and prevent the cluster head node from premature failure due to excessive energy consumption, thus improving the stability of the network and prolonging the network life cycle.