WSNs中基于模糊逻辑覆盖空洞修复算法

Recovering coverage hole algorithm based on fuzzy logic in WSNs

针对无线传感网络中覆盖空洞问题,提出一种基于模糊逻辑覆盖空洞修复(recovering coverage hole based on fuzzy logic,RCH-FL)算法。以最小化能量消耗为约束条件,以最大化网络覆盖为目的,利用模糊逻辑系统,结合传感节点能量、离空洞的距离以及覆盖冗余率信息,选择最佳的移动节点;移动节点依据节点密度以及欧式距离,计算最佳的移动位置。仿真结果表明,RCH-FL算法的覆盖率高达99.8%,能量消耗量低于其它同类算法。

For coverage holes of WSNs （wireless sensor networks）, recovering coverage hole algorithm based on fuzzy logic （RCH-FL） was proposed. Minimizing energy consumption was considered as constraint conditions and maximizing the network converge was considered as the purpose. The optimal mobile node was chosen using fuzzy logic system combining with informa- tion of nodes energy, distance between coverage holes and coverage redundancy ratio. The optimal position was computed on the basis of knowledge about node density and Euclidean distance. Simulation results show that the coverage ratio of RCH-FL algo- rithm is up to 99.8%, and the energy consumption of it is less than other similar algorithms.