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A Wireless Sensor Network Topology Design Method Based on an Evolutionary Algorithm Featured with Population Crossover Strategy

机译:基于种群交叉策略的进化算法的无线传感器网络拓扑设计方法

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Network lifetime and coverage are viewed as the dominating considerations in designing the structure layout for Wireless Sensor Networks (WSN). In a WSN, the sensor nodes and its central node are located far apart to ensure good coverage over the concerning area. However, communication over long distance between the nodes consumes excessive energy from the battery powered sensors and reduces the lifetime of a WSN. In this paper, we propose an efficient crossover EA-based method to solve the optimization problem mentioned afore. Experiment result shows that the crossover EA-based algorithm can find a better solution than the traditional EA algorithm. This approach is also applicable to various other complex optimization problems.
机译:在设计无线传感器网络(WSN)的结构布局时,网络寿命和覆盖范围被视为主要考虑因素。在WSN中,传感器节点及其中心节点相距较远,以确保在相关区域上具有良好的覆盖范围。但是,节点之间的长距离通信会消耗来自电池供电传感器的过多能量,并会缩短WSN的寿命。在本文中,我们提出了一种基于交叉EA的高效方法来解决上述优化问题。实验结果表明,与传统的EA算法相比,基于EA的交叉算法可以找到更好的解决方案。该方法也适用于各种其他复杂的优化问题。

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