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

机译:一种基于群体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:网络寿命和覆盖范围被视为在设计无线传感器网络(WSN)的结构布局方面的主导考虑因素。在WSN中,传感器节点及其中心节点位于远处,以确保对涉及区域的良好覆盖范围。然而,节点之间的长距离通信从电池供电的传感器中消耗过多的能量,并减少了WSN的寿命。在本文中,我们提出了一种高效的交叉基于EA的方法来解决上述优化问题。实验结果表明,基于交叉EA的算法可以找到比传统EA算法更好的解决方案。这种方法也适用于各种其他复杂的优化问题。

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