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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chao Zhang Yingjian Liu Zhongwen Guo Guodong Sun Yu Wang |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Comput. Sci., Univ. of North Carolina at Charlotte, Charlotte, NC, USA (Chao Zhang; Yu Wang) || Sch. of Inf. Sci. & Technol., Beijing Forestry Univ., Beijing, China (Guodong Sun) || Dept. of Comput. Sci. & Technol., Ocean Univ. of China, Qingdao, China (Yingjian Liu; Zhongwen Guo) |
| Abstract | Localization is one of the most fundamental problems in ocean sensor networks. Current localization algorithms mainly focus on how to localize as many sensors as possible given a set of mobile or static anchor nodes and distance measurements. In this paper, we consider the optimization problem, minimum cost localization problem in a 3D ocean sensor network, which aims to localize all underwater sensors using the minimum number of anchor nodes or the minimum travel distance of the ship which deploys and measures the anchors. Given the hardness of 3D localization, we propose a set of greedy methods to pick the anchor set and its visiting sequence. Aiming to minimize the localization errors, we also adopt a confidence-based approach for all proposed methods to deal with noisy ranging measurements and possible flip ambiguity. Our simulation results demonstrate the efficiency of all proposed methods. |
| Starting Page | 496 |
| Ending Page | 501 |
| File Size | 153186 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479920037 |
| DOI | 10.1109/ICC.2014.6883367 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-06-10 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Three-dimensional displays Marine vehicles Oceans Distance measurement Greedy algorithms Sensors Color |
| Content Type | Text |
| Resource Type | Article |
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