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Research on Node Localization Method in Wireless Sensor Networks Based on OMNeT++

Author: CuiYongQiang
Tutor: GuoZhiXin；LiuKeZhong
School: Wuhan University of Technology
Course: Traffic Information Engineering \u0026 Control
Keywords: Wireless sensor networks Node Localization Multiple energy level Monte Carlo OMNeT
CLC: TN929.5
Type: Master's thesis
Year: 2011
Downloads: 167
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Abstract


In recent years, the integration of wireless communications, distributed processing, micro-electromechanical systems technology, wireless sensor networks (Wireless Sensor Networks) has been developing rapidly, and successfully applied to many areas. In most applications, the access to the location of the sensor nodes information is a basic requirement, node self-positioning technology is one of the key issues for wireless sensor network research is the basis and prerequisite for wireless sensor networks towards practical process. Therefore, the study of wireless sensor network node positioning technology, has important theoretical and practical significance. A comprehensive and in-depth analysis of the first wireless sensor network characteristics and research status, thus Marke distributed multi-energy-level node localization algorithm to optimize the selection strategy research; wireless sensor networks based on the Monte Carlo method, Marke mobile node localization problems. Finally, the theory and algorithms are used discrete event simulation software OMNeT simulation. Specific work are as follows: 1) In order to overcome the multi-energy-level node localization algorithm of high complexity problems, a Marke optimization selection strategy, while reducing the complexity of the algorithm, effectively improve the node positioning accuracy. The basic idea is: through the analysis of the physical topology of the node, choose from the many for positioning Marke the the three effective Marke make three Marke distance between nodes as far as possible, the final centroid algorithm-based thinking valid estimate of the node location. 2) for mobile wireless sensor network node localization problem, the energy classification thinking further introduction of dynamic network, and the Monte Carlo method to improve a mobile wireless sensor network node positioning algorithm based on the Monte Carlo. The main idea is that: the movement guide subscript periodically transmitting a broadcast signal of a different energy level, unknown node Marke positioning information received within the sensing range, and determine their limited area in which. Improved Monte Carlo method, using fewer samples to achieve the node position estimation. Avoid Marke collinear node localization failure situation, the introduction of the collinear degrees limiting factor (Collinearity Limiting Factor CLF), a Marke collinear degree constraint strategy to solve Marke collinear.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Wireless communications > Mobile Communications
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