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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jindong Tan Xiaoning Shan |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Michigan Technol. Univ., Houghton, MI (Jindong Tan; Xiaoning Shan) |
| Abstract | This paper presents a multi-robot coordination architecture for a robot-sensor network to track and intercept targets. For a target tracking and interception task, the sensor network continuously tracks the targets and dynamically selects robots to intercept the target. The robots are navigated through the sensor network. The main contribution of this paper lies on providing a scalable, power saving robot selection algorithm for the sensor networks. The robot selection algorithm is addressed based on partitioning among sensor nodes. Through partitioning, the sensor nodes are grouped so that they know which robot to choose if it is the closest to the target. The partitioning is updated with respect to the movement of robots. The proposed algorithms are proven to be effective and verified by simulations |
| Starting Page | 391 |
| Ending Page | 396 |
| File Size | 220035 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424403324 |
| DOI | 10.1109/WCICA.2006.1712339 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-21 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Spatiotemporal phenomena Mobile robots Intelligent networks Robot sensing systems Robot kinematics Target tracking Sensor systems Partitioning algorithms Navigation Decision making |
| Content Type | Text |
| Resource Type | Article |
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