Abstract Wireless sensor networks (WSNs) have great application potential in partition parameter observation, such as forest fire detection. Due to the limited battery capacity of sensor nodes, how to reduce energy consumption is an important technical challenge. In this paper, we propose an energy efficient routing algorithm of adaptive double cluster head (CH) based on nonuniform partition for WSN. Firstly, according to the distance information from the base station (BS) to every sensor node, the network is divided into several uneven partitions. Secondly, CH is selected for each partition as the primary cluster head (PCH). Because of the cluster-level routing, the CHs close to the BS need to forward more data than the CHs in other areas, which consumes more energy. Therefore, an adaptive double CH method can be used to generate a secondary cluster head (SCH) in the cluster near the BS according to the parameters. Finally, the PCH is responsible for data collection, data integration, and data transmission. while the SCH is in charge of data routing. Simulation results show that the proposed algorithm can reduce the energy consumption and extend the life of the WSNs, compared with LEACH protocol and the HEED protocol.

中文翻译：

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一种基于非均匀划分的WSNs聚类算法

摘要 无线传感器网络（WSN）在分区参数观测中具有巨大的应用潜力，例如森林火灾检测。由于传感器节点的电池容量有限，如何降低能耗是一个重要的技术挑战。在本文中，我们为WSN 提出了一种基于非均匀划分的自适应双簇头(CH) 节能路由算法。首先，根据基站（BS）到每个传感器节点的距离信息，将网络划分为几个不均匀的分区。其次，为每个分区选择CH作为主簇头（PCH）。由于集群级路由，靠近BS的CH需要比其他区域的CH转发更多的数据，消耗更多的能量。所以，自适应双CH方法可用于根据参数在BS附近的簇中生成辅助簇头(SCH)。最后，PCH 负责数据收集、数据集成和数据传输。而SCH负责数据路由。仿真结果表明，与LEACH协议和HEED协议相比，所提出的算法能够降低WSNs的能耗并延长其寿命。