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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | La, H.M. Weihua Sheng |
| Copyright Year | 2009 |
| Description | Author affiliation: School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, 74078, USA (La, H.M.; Weihua Sheng) |
| Abstract | Tracking and observing multiple dynamic targets is an important task in mobile sensor networks. This paper presents a novel approach to the problem of sensor splitting/ merging for a mobile sensor network to track and observe multiple targets in a dynamic fashion. In this approach, a seed growing graph partition (SGGP) algorithm is proposed to solve the splitting/merging problem. Furthermore, during the process of tracking, collision avoidance and velocity matching among mobile sensors are guaranteed. To demonstrate the benefit of the SGGP algorithm in term of the total energy and time consumption when sensors split, we compare the SGGP with a random selection (RS) algorithm. Numerical experimental tests validate our theoretical results. |
| Starting Page | 3319 |
| Ending Page | 3324 |
| File Size | 2173153 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424445233 |
| ISSN | 07431619 |
| DOI | 10.1109/ACC.2009.5160652 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-10 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | American Automatic Control Council(AACC) |
| Subject Keyword | Target tracking Partitioning algorithms Communication system control Vehicle dynamics Merging Mobile agents Vehicles Sensor phenomena and characterization Mobile computing Algorithm design and analysis Graph partitioning Flocking control Multiple targets tracking Mobile sensor network |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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