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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Parthiban, R. Menon, A. |
| Copyright Year | 2009 |
| Description | Author affiliation: School of Engineering, Monash University, Sunway Campus, Malaysia (Parthiban, R.; Menon, A.) |
| Abstract | Position localization is an important problem in wireless sensor networks. A major challenge in this problem is overcoming errors and imprecision in locating the unknown position of a randomly deployed sensor. Localization is also an initial step to subsequent procedures such as routing and information exchange. Thus, if the result from localization is inaccurate, then future processes would be tainted with error. We propose a new approach for cooperative object localization by a group of communicating sensors. Information gathered by these sensors is combined using fuzzy logic techniques to attain a sensor positioning algorithm with minimized error. |
| Starting Page | 1435 |
| Ending Page | 1440 |
| File Size | 232835 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424428526 |
| DOI | 10.1109/AIM.2009.5229857 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-14 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fuzzy logic Fires Wireless sensor networks Routing Monitoring Sensor systems Pollution measurement Springs Large-scale systems Intelligent networks |
| Content Type | Text |
| Resource Type | Article |
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