Min-Max Movement of Sink-Based Mobile Sensors in the Plane for Barrier Coverage

Wenjie Zou, Longkun Guo, Peihuang Huang
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Abstract

Barrier coverage is a long-lasting problem in mobile and wireless sensor networks, particularly for energy-critical applications. Recently, practical applications propose new barrier coverage applications of using sink-based mobile sensors, with the aim of minimizing the maximum energy consumed by sensor movement. In the problem, we are a set of sinks distributed on the plane each of which can emit mobile sensors with an identical radius. The task is to cover a given barrier using the mobile sensors emitted from the sinks, such that the maximum movement of the sensors is minimized. In this paper, we first design an algorithm for optimally solving the problem based on the key observation of the property against the so-called movement parity and tangent equilibrium points between the sinks. Then based on a more sophisticated investigation of the geometric property of an optimum solution, we improve the runtime of the algorithm to O(k) for k being the number of sink stations, attaining possibly the best runtime of the problem.
基于sink的移动传感器在障碍物覆盖平面上的最小-最大运动
在移动和无线传感器网络中,屏障覆盖是一个长期存在的问题,特别是在能源关键应用中。最近,实际应用提出了使用基于接收器的移动传感器的新的屏障覆盖应用,目的是最大限度地减少传感器运动所消耗的最大能量。在这个问题中,我们是一组分布在平面上的接收器,每个接收器可以发射具有相同半径的移动传感器。任务是使用从汇发射的移动传感器覆盖给定的屏障,从而使传感器的最大运动最小化。在本文中,我们首先设计了一种算法,基于对所谓的移动宇称和切线平衡点之间的属性的关键观察来优化解决问题。然后,基于对最优解的几何性质的更复杂的研究,我们将算法的运行时间提高到O(k),因为k是接收站的数量,从而获得问题的最佳运行时间。
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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