无线传感器网络(WSNs)路由协议的设计受到传感器的节点特征、网络行为和应用需求等的影响,网络拓扑结构的变化对节点之间通信路径的影响非常关键。分簇是减少能量消耗和增强网络可扩展性的一种有效的拓扑控制技术。为了节约能耗,提出了能量平衡的非随机分簇算法。该算法采用最小能量分簇技术形成簇群,利用最小的通信距离来选择最优的簇头(CH)。仿真结果表明该算法延长了网络寿命,与集中式的LEACH-C算法相比,提高了能量利用效率。 The design of wireless sensor networks (WSNs) routing protocols is affected by sensor node characteristics, network behavior and application requirements. The impact of network topology changes on the communication paths between nodes is crucial. Clustering is an effective topology control technology to reduce energy consumption and enhance network scalability. In order to save energy, a non-stochastic energy-balanced clustering algorithm is proposed. The algorithm adopts the minimum energy clustering technique to form a cluster and uses the minimum communication distance to select the optimal cluster head (CH). The simulation results show that the algorithm prolongs the network lifetime, and improves the energy utilization efficiency compared with the centralized LEACH-C algorithm.