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Improvement Scheme Of The Range-free Node Localization Technology In Wireless Sensor Network

Posted on:2017-02-01Degree:MasterType:Thesis
Country:ChinaCandidate:X ChenFull Text:PDF
GTID:2308330488997079Subject:Electronic and communication engineering
Abstract/Summary:PDF Full Text Request
Nowadays, Wireless sensor network(WSN) is a very popular research direction. With the rapid development of WSN technology, its application prospect is unanimously optimistic. The technology of node localization is one of the most fundamental and most important technology. Depending on wether the distance information is needed, node localization technology can be divided into range-free and range-based. This paper mainly focuses on the range-free localization technology and includes the following key points.First, several classic localization technology are introduced, including the range-free and range-based localization, which the range-free technology is highlighted.Then, for the classic DV-Hop algorithm, some certain improvement is made to improve its performance. During the distance estimation period, the accurate distance between beacon nodes is used to amend the distance between the unknown node and beacon node. Furthmore, a conception of DC(degree of collineation of beacon nodes) is proposed, and this conception can help unknown nodes to pick up some beacon node units of good topology quality when using the trilateration method to locate their own positions. Each beacon node unit which meets the requirement can generate a coordinate. Acoording to the relevant value of DC, different weights are given to the relevant coordinate. Thus, the unknown node can get a comparatively accurate coordinate. The simulation result shows that comparing to the classic DV-Hop, this new technology has lower location error.Last, to solve the problem of hop count error which is very common in range-free localization, the conception of relevant distance is proposed. It uses the number of public neighbor nodes to indicate the relevant distance between two nodes. Like the DV-Hop algorithm, by using the information of the distance between beacon nodes, a correction factor is introduced to correct the relevant distance. Then, a function based on the error can be constructed. Thus, the localization problem is turned to the optimization issue and the QPSO algorithm can be used to solve this problem. The simulation result also indicates that whether the nodes are evenly distributed or not, the new technology has some improvement on the localization performance.
Keywords/Search Tags:Wireless sensor network, Node localization technology, Range-free, DV-Hop algorithm, Quantum-behaved Particle Swarm Optimization
PDF Full Text Request
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