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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ximei Liu Zhangchao Hu Jizhen |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Inf. Sci. & Eng., East Univ. of Sci. & Technol., Shanghai (Ximei Liu) |
| Abstract | Localization is one of the supporting technologies in wireless sensor networks. Many techniques have been proposed that attempt to localize in a distributed manner. But the border problem (nodes near the edge of the sensor field are poorly positioned) is not solved perfectly. In this paper we propose a novel localization algorithm with the following merits. First, we use classification method to classify the nodes into two categories - border nodes and non-border nodes. Then we localize the border nodes based on mere connectivity information (i.e., hop counts only), and deal with the non-border nodes based on improved weighted centroid algorithm. The simulation results show that the border problem is solved well and the average localization error will be reduced to about a quarter and 10% in the complex environment with fewer anchor nodes compared to the centroid algorithm and diffusion algorithm. |
| Starting Page | 3045 |
| Ending Page | 3049 |
| File Size | 274778 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424425020 |
| DOI | 10.1109/ICAL.2008.4636701 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-09-01 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless communication Wireless sensor networks RSSI Accuracy centroid algorithm wireless sensor networks Propagation losses Distance measurement Classification algorithms position estimation Mathematical model classification |
| Content Type | Text |
| Resource Type | Article |
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