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Improved memetic algorithm for energy efficient target coverage in wireless sensor networks

机译:改进的模因算法,用于无线传感器网络中的节能目标覆盖

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A critical aspect of applications in wireless sensor network (WSN) is its lifetime. This issue has received increased attention due to the recent advances in affordable and efficient integrated electronic devices. One approach to extend the wireless sensor network lifetime is to divide the deployed set of all sensors into disjoint subsets of sensor covers, such that each sensor cover can cover all targets and get activated one after another. The sensor network lifetime can be increased by identifying the maximum number of covers and it can be identified through disjoint set cover (DSC). In this paper, a novel improved memetic algorithm (iMA) is proposed to give a better solution to the DSC. The simulation results on various problem instances confirm that improved memetic algorithm significantly outperforms several heuristic and evolutionary algorithms in terms of solution quality, which demonstrates the effectiveness of the proposed algorithm in extending WSN lifetime.
机译:无线传感器网络(WSN)中应用程序的一个关键方面是其使用寿命。由于负担得起的和高效的集成电子设备的最新进展,这个问题已受到越来越多的关注。延长无线传感器网络寿命的一种方法是将部署的所有传感器集合划分为传感器覆盖物的不相交的子集,以使每个传感器覆盖物都可以覆盖所有目标并一个接一个地激活。可以通过确定覆盖的最大数量来延长传感器网络的寿命,并且可以通过不相交的覆盖保护盖(DSC)来确定传感器的使用寿命。在本文中,提出了一种新颖的改进的模因算法(iMA),以便为DSC提供更好的解决方案。在各种问题实例上的仿真结果证实,改进的模因算法在解决方案质量方面明显优于几种启发式算法和进化算法,这证明了所提算法在延长WSN生命周期方面的有效性。

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