Efficient energy management to prolong wireless sensor network lifetime

Hung-Chin Jang, Hon-Chung Lee
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引用次数: 15

Abstract

In this paper, we propose a Voronoi detection range adjustment method that utilizes distributed Voronoi diagram to delimit the area of responsibility for each sensor. We then use genetic algorithm to optimize the most suitable detection range for each sensor. Simulations show that VERA outperforms maximum detection range, K-covered [Huang and Tseng, 2003], and greedy [Cardei et al., 2006] methods in terms of reducing the overlaps among detection ranges, minimizing energy consumption, and prolonging network lifetime.
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高效的能源管理,延长无线传感器网络的使用寿命
在本文中,我们提出了一种利用分布式Voronoi图来划分每个传感器的责任区域的Voronoi检测距离调整方法。然后,我们使用遗传算法来优化每个传感器的最合适的检测范围。仿真表明,在减少检测范围之间的重叠、最小化能量消耗和延长网络寿命方面,VERA优于最大检测范围、K-covered [Huang and Tseng, 2003]和greedy [Cardei等,2006]方法。
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