Feasibility analysis on integrated recharging and data collection in pollution sensor networks

Pooja Gupta, Kaushik Kandakatla, S. De, S. Jana
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引用次数: 9

Abstract

Uninterrupted network operation in field sensing activities such as pollution monitoring is a big challenge, as the pollution sensors could be quite power hungry. One way to keep the network functioning is to recharge the nodes periodically via radio frequency energy transfer, which can be achieved by using a mobile robot that acts as an energy source and a data sink. Given a set of sensors deployed in a geographic area, a mobile robot is required to visit all the sensors in a way so as to avoid a node's energy drainage and its buffer overflow. Before optimum path planning strategies depending on a set of given sensing and physical environmental constraints, a critical task is to investigate the components of energy consumed by a node on different activities. To this end, this work does an extensive study on the energy consumptions with a few chosen pollution sensor examples. Based on the energy consumption and rectification parameters, the required recharging periodicity is derived. This analysis forms the basis of constrained mobility and path planning of the mobile robot.
污染传感器网络充电与数据采集一体化的可行性分析
在污染监测等现场传感活动中,不间断的网络运行是一个巨大的挑战,因为污染传感器可能非常耗电。保持网络正常运行的一种方法是通过射频能量传输定期给节点充电,这可以通过使用作为能量源和数据接收器的移动机器人来实现。给定在一个地理区域内部署的一组传感器,要求移动机器人以某种方式访问所有传感器,以避免节点的能量消耗和缓冲区溢出。在根据一组给定的感知和物理环境约束制定最优路径规划策略之前,一项关键任务是研究节点在不同活动上消耗的能量组成。为此,本文选取了几个污染传感器的实例,对其能耗进行了广泛的研究。根据能量消耗和整流参数,推导出所需的充电周期。这一分析构成了移动机器人受限移动和路径规划的基础。
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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