无线传感器系统中部分连接无线节点的定位

IF 1.5 Q3 TELECOMMUNICATIONS
Muhammad Waqas Khan, Maryam Khan, Abdul Hafeez
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引用次数: 1

摘要

无线传感器网络中的无线节点由于通信距离短,只能与其附近的设备进行信息交换。因此,在稀疏网络中,很难实现网络的完全连通性。这使得无线传感器网络中的集中式定位方法毫无用处。此外,使用集中式算法进行定位会损害密集网络中的可扩展性。因此,在已知传感器(参考传感器)和未知位置传感器(目标传感器)之间获得部分连接和混合(距离和方向)测量的分散位置感知网络是重点。利用线性最小二乘(LLS)方法获得分散的位置估计,并通过引入加权策略来产生加权最小二乘(WLS)估计来实现性能增强。这种分布式估计是通过设计一种地图拼接技术实现的,该技术可以从无线节点的单个本地地图形成网络的全局地图,而不会损害网络的分布式特性。在本研究的分析部分,推导了LLS估计的理论均方误差表达式,并推导了一个Cramer-Rao下界来约束WLS解的性能。从理论和仿真两方面对算法的性能进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Localisation of wireless nodes with partial connectivity in wireless sensor systems

Localisation of wireless nodes with partial connectivity in wireless sensor systems

Owing to their short communication range, wireless nodes in wireless sensor networks (WSNs) can exchange information with devices in their vicinity only. Thus, in sparse networks, the full connectivity of the network is rarely achieved. This renders a centralised approach towards localisation in WSNs useless. Moreover, the exploitation of a centralised algorithm for localisation compromises the scalability in dense networks. Thus, a decentralised, location-aware network with partial connectivity and hybrid (range and direction) measurements obtained between known sensors (reference sensors) and sensors at unknown locations (target sensors) is under focus. The decentralised location estimation is obtained using a linear least squares (LLS) approach and performance enhancements are achieved by introducing a weighing strategy to produce weighted least squares (WLS) estimates. This distributed estimation is made possible by designing a map stitching technique that forms the global map of the network from individual local maps of the wireless nodes without compromising the distributed nature of the network. In the analytical section of the study, theoretical mean squares error expression is derived for LLS estimation, and a Cramer–Rao lower bound is derived to bind the performance of the WLS solution. The algorithm's performance validation is conducted both theoretically and via simulations.

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来源期刊
IET Wireless Sensor Systems
IET Wireless Sensor Systems TELECOMMUNICATIONS-
CiteScore
4.90
自引率
5.30%
发文量
13
审稿时长
33 weeks
期刊介绍: IET Wireless Sensor Systems is aimed at the growing field of wireless sensor networks and distributed systems, which has been expanding rapidly in recent years and is evolving into a multi-billion dollar industry. The Journal has been launched to give a platform to researchers and academics in the field and is intended to cover the research, engineering, technological developments, innovative deployment of distributed sensor and actuator systems. Topics covered include, but are not limited to theoretical developments of: Innovative Architectures for Smart Sensors;Nano Sensors and Actuators Unstructured Networking; Cooperative and Clustering Distributed Sensors; Data Fusion for Distributed Sensors; Distributed Intelligence in Distributed Sensors; Energy Harvesting for and Lifetime of Smart Sensors and Actuators; Cross-Layer Design and Layer Optimisation in Distributed Sensors; Security, Trust and Dependability of Distributed Sensors. The Journal also covers; Innovative Services and Applications for: Monitoring: Health, Traffic, Weather and Toxins; Surveillance: Target Tracking and Localization; Observation: Global Resources and Geological Activities (Earth, Forest, Mines, Underwater); Industrial Applications of Distributed Sensors in Green and Agile Manufacturing; Sensor and RFID Applications of the Internet-of-Things ("IoT"); Smart Metering; Machine-to-Machine Communications.
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