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Research on Localization of Wireless Sensor Networks

Author: LiWeiQun
Tutor: QiHuan
School: Huazhong University of Science and Technology
Course: Systems Engineering
Keywords: Wireless sensor networks Locate APIT Convex programming
CLC: TN929.5
Type: Master's thesis
Year: 2011
Downloads: 21
Quote: 0
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With the rapid development of Internet technology , wireless sensor networks gradually affect all aspects of people's lives and its applications from a purely military purposes to the agricultural , manufacturing , transportation , environmental , engineering and other aspects of development . Wireless sensor network architecture also presents the various forms of private networks , cellular networks , wireless ad-hoc network . Node location information in the importance of the network determines the network node positioning technology to become one of the supporting technologies for wireless sensor networks . Positioning technology has become a hot research . This paper describes existing positioning technology , the representative location algorithm and system basis , analyzes the limitations of the existing algorithms . Wireless sensor network with beacon nodes proportion is low , the uneven distribution of the beacon nodes , communication limited radius of three characteristics , which leads to poor performance of existing algorithms in a low proportion of beacon node network . Positioning accuracy for low density the CITIC node localization algorithm as well as positioning the low coverage problem , is proposed based on the multi-hop convex programming and PIT localization algorithm HCAPIT of . The algorithm uses the unknown nodes K -hop neighbor the beacon nodes using best inside the triangle point test method PIT estimate the unknown node there may be regional , and narrowing of regional , multi-hop Convex locate nodes . This paper based on the algorithm design process , the establishment of an appropriate system model , the simulation model . Simulation , respectively, from the proportion of beacon node communication radius error distribution network the total number of nodes in comparison verify algorithm performance in four areas . The simulation results show improved positioning algorithm is more suitable for network beacon node density is low . Beacon node density is lower , the greater the positioning to enhance the effect .

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