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Maximum Lifetime Routing Based on Fuzzy Set Theory in Wireless Sensor Networks

机译:无线传感器网络中基于模糊集理论的最大寿命路由

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摘要

To solve the problem of energy saving in the design of wireless sensor networks, a new maximum lifetime routing algorithm was proposed based on uneven cluster, linear programing and fuzzy set theory (UCLF) in wireless sensor networks, which formulated the system maximum lifetime problem as a linear programming problem and selected cluster head based on fuzzy set theory, where the objectives is to output optimal clusters which closer to the sink node have fewer nodes than those farther away from the sink node and seek a balance point between energy consumption and routing efficiency to maximize the network lifetime. Compared with the classical energy efficient algorithm, such as CMAX, simulation results show that UCLF can effectively extend the network lifetime.
机译:针对无线传感器网络设计中的节能问题,提出了一种基于不均匀簇,线性规划和模糊集理论(UCLF)的无线传感器网络最大寿命路由算法,将系统最大寿命问题表示为基于模糊集理论的线性规划问题和选择的簇头,其目的是输出与接收节点较近的最佳群集比远离接收节点的最佳群集少的最佳群集,并在能耗和路由效率之间寻求平衡点以最大化网络寿命。与经典的节能算法(例如CMAX)相比,仿真结果表明UCLF可以有效地延长网络寿命。

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