Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/940
Title: | Locating nodes in mobile sensor networks more accurately and faster | Authors: | Zhang, S Cao, J Chen, L Chen, D |
Issue Date: | 2008 | Source: | SECON 2008 : 5th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, Jun. 16-20, 2008, San Francisco, California, p. 37-45 | Abstract: | Localization in mobile sensor networks is more challenging than in static sensor networks because mobility increases the uncertainty of nodes' positions. Most existing localization algorithms in mobile sensor networks use Sequential Monte Carlo (SMC) methods due to their simplicity in implementation. However, SMC methods are very time-consuming because they need to keep sampling and filtering until enough samples are obtained for representing the posterior distribution of a moving node's position. In this paper, we propose a localization algorithm that can reduce the computation cost of obtaining the samples and improve the location accuracy. A simple bounding-box method is used to reduce the scope of searching the candidate samples. Inaccurate position estimations of the common neighbor nodes is used to reduce the scope of finding the valid samples and thus improve the accuracy of the obtaineed location information. Our simulation results show that, comparing with existing algorithms, our algorithm can reduce the total computation cost and increase the location accuracy. In addition, our algorithm shows several other benefits: 1) it enables each determined node to know its maximum location error, 2) it achieves higher location accuracy under higher density of common nodes, and 3) even when there are only a few anchor nodes, most nodes can still get position estimations. | Keywords: | Localization Bounding-box Wireless sensor networks Mobility Sequential Monte Carlo methods |
Publisher: | IEEE | ISBN: | 978-142-44-1777-3 | Rights: | © 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
locating-nodes_08.pdf | 230.92 kB | Adobe PDF | View/Open |
Page views
144
Last Week
1
1
Last month
Citations as of Apr 14, 2024
Downloads
173
Citations as of Apr 14, 2024
SCOPUSTM
Citations
34
Last Week
0
0
Last month
0
0
Citations as of Apr 19, 2024
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.