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Optimization Of RSSI-Based Centroid Location Algorithms For Wireless Sensor Networks

Posted on:2016-05-10Degree:MasterType:Thesis
Country:ChinaCandidate:Y Y ZhangFull Text:PDF
GTID:2308330464467293Subject:Electronics and Communications Engineering
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In recent years, advances in digital electronics, micro-electro-mechanical system technology and computer technology have enabled the development of wireless sensor network. Wireless sensor network are widely used in environmental monitoring, traffic management, military surveillance and many other fields. Localization technology is one of the supporting technologies about the wireless sensor network. It is the basis and premise of target tracking, recognition, localization and many other applications. Therefore, the research of high precision localization technology for WSN has important theory significance and applied value.According to improving the positional accuracy and reducing the anchor node proportion of classic centroid localization algorithm, a new localization algorithm based on RSSI is proposed in this thesis. The new algorithm combines the advantages of distance measurement algorithm, increase the idea of iterative and weighted. The main research works and innovation points of this thesis are listed as follows:1. A new improved algorithm proposed for improving the positional accuracy and reducing the anchor node proportion: Firstly, introduce weighted centroid algorithm based on the distance. When conditions change, try to find the optimal weight through simulation. After that, set up an appropriate modle of the algorithm. Secondly, introduce iterative thoughts in the algorithm. Effectively reduce the anchor nodes proportion by upgrading the unknown nodes be positioned to anchor nodes.2. Three measures are proposed to improve positioning accuracy in the thesis: Firstly, introduce local distance correction methods according to the local environment. Adjust node’s distance by the average distance error of anchor nodes that interconnected each other. Secondly, set the threshold to restrain error accumulation in the iteration. Finally, correct positioning error in the algorithm. Adjust node’s position by the average positioning error of anchor nodes interconnected.3. The simulation indicates that the positioning performance of the new algorithms has obvious improvement. It shows the superiority of positioning accuracy and anchor node proportion by comparison with traditional location algorithm. And present higher adaptability in the complex environment.
Keywords/Search Tags:wireless sensor network, localization algorithm, RSSI, iterative weighted centroid algorithm
PDF Full Text Request
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