Localization is one of the most important factor in wireless sensor networksas many applications demand position information of sensors. Recently there isan increasing interest on the use of mobile anchors for localizing sensors.Most of the works available in the literature either looks into the aspect ofreducing path length of mobile anchor or tries to increase localizationaccuracy. The challenge is to design a movement strategy for a mobile anchorthat reduces path length while meeting the requirements of a good range-freelocalization technique. In this paper we propose two cost-effective movementstrategies i.e., path planning for a mobile anchor so that localization can bedone using the localization scheme \cite{Lee2009}. In one strategy we use ahexagonal movement pattern for the mobile anchor to localize all sensors insidea bounded rectangular region with lesser movement compared to the existingworks in literature. In other strategy we consider a connected network in anunbounded region where the mobile anchor moves in the hexagonal pattern tolocalize the sensors. In this approach, we guarantee localization of allsensors within $r/2$ error-bound where $r$ is the communication range of themobile anchor and sensors. Our simulation results support theoretical resultsalong with localization accuracy.
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机译：定位是无线传感器网络中最重要的因素之一，因为许多应用都需要传感器的位置信息。近年来，人们越来越关注使用移动锚来定位传感器。文献中的大多数工作要么是研究减小移动锚的路径长度，要么是试图提高定位精度。面临的挑战是为移动锚设计一种运动策略，该策略可在满足良好的无范围定位技术要求的同时缩短路径长度。在本文中，我们提出了两种具有成本效益的移动策略，即移动锚的路径规划，以便可以使用定位方案\ cite {Lee2009}来简化定位。在一种策略中，与文献中的现有作品相比，我们使用六角形运动模式作为移动锚来将所有传感器定位在边界矩形区域内，且运动较少。在其他策略中，我们考虑在无边界区域中的连接网络，在该区域中，移动锚以六边形模式移动以定位传感器。在这种方法中，我们保证将所有传感器定位在$ r / 2 $误差范围内，其中$ r $是移动锚和传感器的通信范围。我们的仿真结果支持理论结果以及定位精度。
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