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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shijun Zhao Meiling Sun Zhaohui Zhang |
| Copyright Year | 2009 |
| Abstract | Wireless sensor networks are highly useful for many location-sensitive applications. The position of each node is assumed in most wireless sensor networks, which can make the sensed information meaningful. Finding position without GPS is important when GPS is not accessible or not practical to use. Typically, with the positions of only a few sensors predetermined, localization algorithms work for estimation of remaining sensor positions. DV-Hop is the most popular one. Intrinsically, localization is an optimization problem based on various distance/path measures. GA and SA are both widely used approaches toward optimization problems with certain strength and weakness. GASA which combines GA and SA can provide a more powerful optimization method. In this paper, we firstly propose GASA-Hop which uses GASA as a post-optimizer of DV-Hop to further improve the accuracy of its position estimation. Our simulation results reveal that GASA-Hop is effective. |
| Starting Page | 152 |
| Ending Page | 156 |
| File Size | 308821 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769535012 |
| DOI | 10.1109/CMC.2009.43 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-01-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | localization Phase measurement Computational modeling Optimization methods Mobile communication GASA Global Positioning System Wireless sensor networks Power engineering computing Goniometers DV-Hop optimization Computer networks Mobile computing |
| Content Type | Text |
| Resource Type | Article |
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