关键词: 无线传感器网络, 分簇算法, 预测剩余能量, 模糊理论

Abstract: In order to reduce the energy consumption and prolong the network lifetime of Wireless Sensor Networks （WSNs）, a fuzzy clustering hierarchy arithmetic based on residual energy prediction for WSNs is proposed. The new algorithm estimates required energy consumption that the candidate nodes forward their data packets to base station according to the distance between nodes and the base station and the number of neighbors, and then obtains the expected residual energy of nodes. Cluster-heads are elected on the basis of the competition radius that can be computed through fuzzy theory based on the consideration of the original energy and the remaining energy of the candidate nodes, to build clusters of uneven size. Simulation experiments show that compared with other routing algorithms, this arithmetic can better optimize the structure of the cluster, balance energy consumption, and prolong the life cycle of the network.

Key words: Wireless Sensor Networks（WSNs）, clustering algorithm, expected residual energy, fuzzy theory