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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Feng Cheng-Xu Liu Zhong |
| Copyright Year | 2013 |
| Description | Author affiliation: Electron. Eng. Coll., Naval Univ. of Eng., Wuhan, China (Feng Cheng-Xu; Liu Zhong) |
| Abstract | In various applications of wireless sensor network, sensor nodes must know their location information to fulfill further assignments such as target real-time monitoring and target tracking. In this paper, a new node self-localization algorithm based on the received signal strength indicator (RSSI) is proposed. The new algorithm takes both triangle centroid localization algorithm (ACLA) and approximate point-in-triangulation test (APIT) algorithm into consideration. In this algorithm, the triangle centroid localization model is improved by optimizing the coefficient of the weighted centroid. And in order to solve non-idealized triangle problem, we make use of APIT to select idealized triangle for localization. The simulation results show that the improved algorithm has less localization error compared to the existing RSSI algorithm. |
| Sponsorship | Hubei Univ. Automot. Technol. |
| Starting Page | 1616 |
| Ending Page | 1619 |
| File Size | 554246 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769550046 |
| DOI | 10.1109/ICCIS.2013.423 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-21 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless sensor networks Target tracking Approximate point-in-triangulation test (APIT) Wireless sensor networks (WSN) Simulation Node self-localization Received signal strength indicator (RSSI) Approximation algorithms Robot sensing systems Educational institutions Mathematical model |
| Content Type | Text |
| Resource Type | Article |
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