Energy-efficient real-time deployment of mobile sensors in disaster-prone location

Williams-Paul Nwadiugwu, Dong‐Seong Kim, Jae-Min Lee
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Abstract

Recent research works on real-time robot-assisted mobile sensor deployment have become rapid, as they tend to accomplish problem-solving tasks at both safe location and unsafe location. This paper proposes a technique to achieve a real-time energy-efficient deployment of mobile sensors in a disaster-prone location using a path-tracking algorithm. An enhanced path-tracking algorithm was introduced to be able to deploy mobile sensors in both presence and absence of obstacles. The simulation result investigates the real-time performances of the mobile sensor nodes deployment with respect to factors such as the minimal energy consumption of the nodes with neighbourhood sharing scheme, the end-to-end system threshold and the time variance for the deployed sensor nodes to reach the target location and back to the base station.
在灾害易发地区节能实时部署移动传感器
近年来,机器人辅助移动传感器的实时部署研究进展迅速,因为它们往往在安全位置和不安全位置完成问题解决任务。本文提出了一种利用路径跟踪算法在灾害易发地点实现移动传感器实时节能部署的技术。引入了一种增强的路径跟踪算法,能够在存在和不存在障碍物的情况下部署移动传感器。仿真结果从邻域共享方案下节点的最小能耗、端到端系统阈值以及部署节点到达目标位置并返回基站的时间方差等方面考察了移动传感器节点部署的实时性。
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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