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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wang Guo-mei Chen Xiao-wei Feng Yuan-jing |
| Copyright Year | 2009 |
| Abstract | Inspired from social swarm intelligence, a cooperative boundaries tracking model with a mobile sensor network based on social foraging swarm behavior. In the model, the nodes of mobile sensor network are viewed as simple intelligent individuals of social swarm. The cooperative moving of the individuals is driven by sensed distribution environment. For boundaries tracking problems with mobile sensor network, the cooperative control strategy and algorithm is proposed, which supposed that global information of boundary curves is given and can be communicated between individuals. The stable analysis of the algorithm is provided. Finally, the experiment results with given boundary curve show the efficiently of the algorithm. |
| Starting Page | 279 |
| Ending Page | 283 |
| File Size | 318480 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769536354 |
| DOI | 10.1109/ICNDS.2009.149 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-05-30 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Angular velocity control Communication system control Cooperative control Educational institutions Sensor systems Particle swarm optimization Intelligent sensors Sensor arrays Vehicles Intelligent networks Swarm intelligence Mobile sensor network Mobile computing Boundary tracking |
| Content Type | Text |
| Resource Type | Article |
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