Relocation of wireless sensor network nodes using a genetic algorithm

Yipeng Qu, S. Georgakopoulos
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引用次数: 36

Abstract

This work involves the development of optimization algorithms that aim in the relocation of wireless sensor network nodes to provide maximum sensing coverage area, and with the constraint of minimizing the energy required for the relocation. Specifically, a sensor relocation method is introduced, based on a multi-objective genetic algorithm. The algorithm objectives are the total travel distance of the sensors from their initial locations to their final locations as well as the coverage area of the sensors. Simulation results clearly show the tradeoff between the travelled distance and coverage area. This algorithm can be used to achieve best coverage, and our results demonstrate that a better coverage always needs a larger travelled distance. Furthermore, redundant sensors decrease the travelled distance. The travelled distance also depends on the initial position of the sensors. The proposed algorithm also works when obstacles appear in the sensing field.
基于遗传算法的无线传感器网络节点重定位
这项工作涉及优化算法的发展,旨在无线传感器网络节点的重新定位,以提供最大的传感覆盖区域,并以最小化重新定位所需的能量为约束。具体来说,介绍了一种基于多目标遗传算法的传感器定位方法。算法的目标是传感器从初始位置到最终位置的总行程距离以及传感器的覆盖面积。仿真结果清楚地显示了传输距离和覆盖面积之间的权衡。该算法可以实现最佳覆盖,结果表明,更好的覆盖总是需要更大的传播距离。此外,冗余传感器减少了行驶距离。行进的距离也取决于传感器的初始位置。该算法在障碍物出现时也能正常工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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