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能量受限和能耗的不均衡性是限制无线传感器网络(WSNs)生命周期的两大主要因素。首先引入了一个新均衡性指数—泰勒指数,其次为太阳能驱动的无线传感器网络提出了一个新的基于模糊逻辑控制的路由算法。该算法综合考虑最优节点质量,传输能力以及剩余能量的泰勒均衡性最终确定最优路由路径。实验将该算法与另外两种经典路由算法做对比,并且比较了不同均衡性参数下该算法的性能,最后仿真结果表明:本文提出的路由算法改善了能耗有效性和均衡性,延长了网络生命周期。
Energy constraints and energy imbalances are the two main factors limiting the life cycle of wireless sensor networks (WSNs). First introduced a new equilibrium index - Taylor index, followed by solar-driven wireless sensor network proposed a new fuzzy logic control based routing algorithm. The algorithm considers the optimal node quality, transmission capacity and Taylor balance of the residual energy to determine the optimal routing path. The experiment compares the algorithm with two other classical routing algorithms and compares the performance of the algorithm under different equalization parameters. The simulation results show that the routing algorithm proposed in this paper improves the efficiency and balance of energy consumption, Life cycle.