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Research on Target Localization Technology in Wireless Sensor Networks

Author: HanLi
Tutor: HuangXueJun
School: Nanjing University of Posts and Telecommunications
Course: Communication and Information System
Keywords: Wireless sensor networks Targeting Binary data Maximum likelihood estimation Secondary search strategy
CLC: TP212.9
Type: Master's thesis
Year: 2011
Downloads: 39
Quote: 1
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Abstract


Wireless sensor network is a new network technology , many advantages due to its reliability , dynamic , self-organization and strong so that it has a broad application prospects in the military , transportation , industrial , medical and other fields . Targeting technology is an important application of wireless sensor networks . In this paper, the energy fading model maximum likelihood estimation algorithm (ML) to study and improve . First of all, the thinking applied to rasterize the ML algorithm . Binary maximum likelihood MLE algorithm ( BML ) , binary data positioning effectively reduce the load of network transmission and reduce the computational complexity of the algorithm . Then , BML algorithm for fault-tolerant performance and its correction algorithm - fault-tolerant binary maximum likelihood algorithm ( FTBML ) . The algorithm of FTBML fully consider the presence of sensor failure and misjudgment , reduce the error positioning algorithm . Through simulation experiments , the study compared the performance of the algorithm under different parameters . Subsequently, a secondary search strategy - CE-FTBML algorithm . First to perform positioning accuracy is not high but low algorithm complexity centroid localization algorithm (CE), and then based on the positioning accuracy of the centroid algorithm to determine the secondary search radius and perform high positioning accuracy FTBML algorithm throughout the region . Done a detailed analysis of the positioning accuracy of the algorithm and the algorithm time complexity . Validation through simulation , the node error probability , CE-FTBML algorithm is able to maintain good positioning accuracy and greatly reduces the time complexity of the algorithm . Finally , the signal strength of the target source algorithm to obtain the further discussion - CE-FTBMLe algorithm . An inspiration to the theoretical value of the signal strength . Validated by simulation experiments , the intensity of the experimental values ??of the target source has a high degree of accuracy . Therefore , the algorithm has a strong practical value .

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation components,parts > Transmitter ( converter),the sensor > Sensor applications
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