机器人辅助传感器网络部署和数据收集

Yang Wang, Changhua Wu
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引用次数: 42

摘要

无线传感器网络已广泛应用于环境监测、监视系统和无人空间探测等领域。然而,传感器设备部署不当导致(1)网络连接不良,使得数据通信或数据收集非常困难;(2)覆盖冗余,浪费传感器能量,造成网络数据冗余。因此,在本文中,我们建议使用移动机器人来协助无人探测或监测的传感器部署和数据收集。我们假设机器人可以携带和部署传感器设备,并具有一定的通信能力来收集来自传感器设备的数据。给定一个区域的一组兴趣点,我们研究了以下有趣的问题:(1)如何确定覆盖所有兴趣点的最小传感器设备数量;(2)如何安排机器人将这些传感器装置放置在某个位置,使机器人的路径最小;(3)部署传感器后,如何安排机器人访问这些传感器设备并与之通信收集数据,使机器人的路径最小。我们针对这些问题提出了一套完整的启发式算法,并通过仿真验证了算法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robot-Assisted Sensor Network Deployment and Data Collection
Wireless sensor networks have been widely used in many applications such as environment monitoring, surveillance systems and unmanned space explorations. However, poor deployment of sensor devices leads (1) bad network connectivity which makes data communication or data collection very hard; or (2) redundancy of coverage which wastes energy of sensors and causes redundant data in the network. Thus, in this paper, we propose using a mobile robot to assist the sensor deployment and data collection for unmanned explorations or monitoring. We assume that the robot can carry and deploy the sensor devices, and also have certain communication capacity to collect the data from the sensor devices. Given a set of interest points in an area, we study the following interesting problems: (1) how to decide minimum number of sensor devices to cover all the interest points; (2) how to schedule the robot to place these sensor devices in certain position so that the path of the robot is minimum; and (3) after the deployment of sensors, how to schedule the robot to visit and communicate with these sensor devices to collect data so that the path of the robot is minimum. We propose a complete set of heuristics for all these problems and verify the performances via simulation.
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