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A Radio-interference Based Low-energy Consumption Localization System With Wireless Sensor Network

Posted on:2014-04-25Degree:MasterType:Thesis
Country:ChinaCandidate:C Z LiuFull Text:PDF
GTID:2268330422464693Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
Moving target positioning system is very important in the daily life and productionlogistics application requirements. Commonly used positioning methods include GPS,Infrared, Ultrasonic, UWB, LBS, WiFi and Zigbee etc. Because of the advantages of thewireless sensor network (WSN) such as low cost, ease of deployment, flexibility and dataprocessing and communication capabilities, WSNs have attracted significant attention inpositioning applications. Traditional WSN localization technologies can be divided intotwo categories: range-based methods and range-free methods. Range-based localizationmethods have the advantage of high localization accuracy, but generally require extrahardware, and the high computational cost, high energy consumption. In contrast,range-free methods require no additional hardware,but have low localization accuracy.My main work include: design and implementation of low-cost wireless sensor nodehardware based on CC2530, comparison of test performance of two types of low-costPCB antenna, discussion of the relationship between SRIPS algorithm localizationaccuracy and the sampling points, implementation of the low communication overheadSRIPS localization algorithm and completion of the whole positioning system alignment.Experiments in the outdoor environment show that the node scope of effectivecommunication is the same as the MicaZ node with the same power consumption, but thecost of the antenna is low. When the positioning time of the target node of this system isequal to1second, the positioning error of static target node is less than1meter in90%cases, and the positioning error of moving target node based on the actual motion ofpedestrians is less than2.6m in90%cases.
Keywords/Search Tags:Wireless sensor network, Radio interferometric measurements, Localization algorithm, Localization system
PDF Full Text Request
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