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Research on Localization Algorithm for Wireless Sensor Networks

Author: YuTao
Tutor: WangYingLong
School: Shandong Institute of Light Industry
Course: Applied Computer Technology
Keywords: Wireless sensor networks DV-Hop algorithm RBF Neural Networks Positioning Algorithm
CLC: TN929.5
Type: Master's thesis
Year: 2011
Downloads: 70
Quote: 0
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Abstract


Wireless sensor networks as a new network access to information , the transmission of information , by micro sensor nodes , capable of real-time monitoring and collecting information and send people to the analysis and utilization of the various monitoring object is widely used in environmental science , industrial control, and military and defense , medical , health , intelligent transportation , and other fields . The node localization technology is the key supporting technologies for wireless sensor networks , access location information has a very important role for the application of wireless sensor networks . The paper introduces the basic concepts of wireless sensor networks , architecture , key technologies and application areas , and conducted in-depth research on wireless sensor network node positioning technology , summarized in this field in recent years , various typical positioning algorithm analyzes each kinds of advantages and disadvantages of the algorithm , and pointed out the direction of improvement of the localization algorithm and facing new challenges . The paper presents a wireless sensor network positioning method based on RBF neural network . Different location acquisition signal intensity values ??, the radial basis function (RBF) neural network signal strength mapping model between the node coordinates , the collected signal intensity values ??within the coverage area of wireless sensor networks as a neural network input vector training , the use of trained neural network to achieve the positioning of the unknown node . The simulation results show that this method can be more accurate and more reliable coordinate position estimation . The paper proposed a correction based on the average jump weighted DV-Hop localization algorithm . DV-Hop localization algorithm , the algorithm average hop distance error is larger average network hop distance weighting coefficient correction , reducing the distance error , so that the average per hop distance network, estimated to be more reasonable . At the same time , using the weighted least squares method based on the Taylor expansion of computing nodes in its coordinate position . The comparative analysis of the performance of the algorithm by simulation , and validation of the superiority of the improved algorithm .

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