Sleep scheduling of wireless sensor networks using hard-core point processes

H. Jaleel, M. Egerstedt
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引用次数: 7

Abstract

In this paper, we examine a randomly deployed sensor network and propose a probabilistic sleep-scheduling scheme to conserve energy while maintaining a desired level of coverage by using coordination among sensors. To introduce coordination among neighboring sensors, we use a hard-core point process from stochastic geometry, which is an inhibition process and does not allow more than one sensor to be on in a given circular region. As compared to existing schemes, the hard-core point process allows coordination between sensors with little communication overhead. We analyze the proposed scheme and derive an expression for the event detection probability. We also perform Monte Carlo simulations and compare the event detection probability to a random switching scheme for a Poisson process of same intensity in order to confirm that the proposed scheme improves the detection probability.
基于硬核点进程的无线传感器网络睡眠调度
在本文中,我们研究了一个随机部署的传感器网络,并提出了一个概率睡眠调度方案,以节省能量,同时通过使用传感器之间的协调来保持期望的覆盖水平。为了引入相邻传感器之间的协调,我们使用随机几何中的硬核点过程,这是一个抑制过程,不允许在给定的圆形区域内有多个传感器开启。与现有方案相比,硬核点过程允许传感器之间的协调,并且通信开销很小。我们对所提出的方案进行了分析,并推导出事件检测概率的表达式。我们还进行了蒙特卡罗模拟,并将事件检测概率与相同强度泊松过程的随机切换方案进行了比较,以证实所提出的方案提高了检测概率。
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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