A cooperative trilateration technique for object localization

M. Balaji, S. A. Chaudhry
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引用次数: 5

Abstract

Wireless Sensor Networks (WSN) exhibit enormous potential in the realization of Cyber-Physical System (CPS) and Internet of Things (IoT) because of their suitability for a large number of applications in healthcare, agriculture, education, aviation, weather forecast, military, smart homes, manufacturing and many other domains. One of the established applications of WSN is localization of moving objects, which is integral part of monitoring, surveillance, intrusion detection and target tracking. For localizing a moving object in WSNs, generally, a set of location-aware static WSN nodes are used to localize the mobile nodes or moving target using a specific localization algorithm. RSSI and Trilateration based location identification is a well-known traditional method which needs distance calculation prior to localization. Many researchers have modified the traditional trilateration method to better suit their application or in general. In this paper we present, a modified trilateration method, which uses our application specific cooperative technique with better choice of beacon node placement to improve distance calculation method. The distance values are then used to expedite the trilateration process. The proposed technique has been simulated and compared with the traditional method. The results show that our proposed technique consumes less energy and ensures faster and complete localization through the deployed sensor nodes.
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一种用于目标定位的合作三边定位技术
无线传感器网络(WSN)在实现网络物理系统(CPS)和物联网(IoT)方面表现出巨大的潜力,因为它们适用于医疗保健、农业、教育、航空、天气预报、军事、智能家居、制造业和许多其他领域的大量应用。无线传感器网络的一个成熟应用是运动物体的定位,它是监控、监视、入侵检测和目标跟踪的重要组成部分。对于WSN中移动目标的定位,一般采用一组位置感知的静态WSN节点,通过特定的定位算法对移动节点或移动目标进行定位。基于RSSI和Trilateration的定位方法是一种众所周知的传统定位方法,在定位之前需要计算距离。许多研究人员对传统的三边测量方法进行了改进,以更好地适应其应用或一般情况。本文提出了一种改进的三边测量方法,该方法利用我们的特定应用协作技术和更好的信标节点放置选择来改进距离计算方法。然后使用距离值来加快三边测量过程。对该方法进行了仿真并与传统方法进行了比较。结果表明,该方法消耗的能量更少,并且可以通过部署的传感器节点更快地完成定位。
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