基于模糊逻辑推理的WSNs非均匀分簇算法

Fuzzy Logic-Based Unequal Clustering Algorithm for Wireless Sensor Networks

为了进一步降低无线传感网络WSNs(Wireless Sensor Networks)能耗,拓延网络寿命,提出了基于模糊逻辑推理的WSNs非均匀分簇算法,记为DUCF。DUCF算法充分考虑了节点剩余能量、节点度以及离基站距离。根据经验制定模糊规则,通过模糊推理系统得到节点当选为簇头的几率和簇尺寸。DUCF算法形成非均匀簇,进而平衡簇头间的能量消耗。仿真结果表明,DUCF算法在网络寿命、能量消耗方面的性能优于LEACH、CHEF和EAUCF算法。

In order to reduce the energy consumption and prolong the network lifetime of Wireless Sensor Networks （WSNs）, distributed fuzzy logic inference-based unequal clustering routing is proposed in this paper, which is marked as DUCF. DUCF protocol fully consider the residual energy of the node, distance to base station, and the de- gree of node. It makes some fuzzy rules, and calculates probability of cluster head and size of cluster through the fuzzy inference system. DUCF forms unequal clusters to balance the energy consumption among the cluster headers. Simulation results show that the proposed DUCF performs better in term of network lifetime and energy consumption as compared to LEACH, CHEF and EAUCF protocols.