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Based on multi-resolution clustering algorithm for secure localization

Author: SunXiaoJie
Tutor: LiGuoHui
School: Huazhong University of Science and Technology
Course: Computer Software and Theory
Keywords: Wireless sensor networks Safe positioning Multi-resolution grid clustering MMSE
CLC: TN929.5
Type: Master's thesis
Year: 2011
Downloads: 20
Quote: 0
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Abstract


Wireless sensor networks to support from military surveillance to health care and a series of widely used clinical testing . Obtain the correct location information of sensor nodes in order to achieve target tracking and environmental monitoring applications is essential. Sensor network self-organization features make the node localization process in harsh environments vulnerable to attack , the existing location technology in an offensive condition can not be effectively positioned . In traditional wireless sensor networks based on the positioning mechanism , we propose a multi-resolution grid-based clustering safety positioning technology . Clustering Based on Multi- resolution security localization algorithm The main idea is that in the wireless sensor network node communication range, pro rata arrangement known coordinates of the anchor node itself ( including malicious nodes ) , and unknown location unknown nodes . Enumeration of all the unknown nodes within the communication range of the anchor nodes , each enumeration two . In the anchor node position as the center , the distance between the nodes and unknown radius of two circles , if the intersection of two circles of intersection coordinates recorded . Meanwhile, the location area organized into hierarchical space , in accordance with the set intersection of particle size distribution determined positioning for legitimate zoning cell level unit statistical parameters from the underlying unit parameters calculated . After completion of the introduction of cell division clustering statistics up to the intersection of the layer of cells . The cell according to the various discrete points obtained in the hierarchy of the centroid of the area , using minimum mean square error solution to detect the end , and as a result of this layer is positioned . Different levels can be positioned at different resolutions and the sensing result , to achieve the security of multi-resolution positioning . Experiments show that the proposed multi-resolution grid clustering technology can secure a safe and effective positioning remove malicious nodes exist in the network , not only to achieve secure positioning of time and has a low complexity and high safety .

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