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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Haihao Liu Mei Shen Yi Qiao Deli |
| Copyright Year | 2007 |
| Description | Author affiliation: Harbin Inst. of Technol., Harbin (Li Haihao; Liu Mei) |
| Abstract | As to the task allocation of collaborative technique in wireless sensor network, a method based on elastic neural networks is proposed to reduce energy consumption under the background of multi-sensor tracking in this paper. First a model of multi-coalition tracking multi-target is designed. Then according to the minimum energy criterion, disjoint fully connected subgraphs of neurons are constructed to solve the problem of optimized task allocation in tracking multi-target and the increment of system energy consumption when dynamic coalitions compete and conflict for the resource of sensor nodes. Compared with conventional method, simulation results show that this method can reduce the energy consumption of the tracking system greatly, demonstrating the effectiveness of elastic neural networks in handling with optimized task allocation problem of multi-sensor tracking multi-target. |
| Starting Page | 360 |
| Ending Page | 365 |
| File Size | 209474 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424408276 |
| DOI | 10.1109/ICMA.2007.4303569 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-05 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless sensor networks Target tracking Collaboration Energy consumption Aerodynamics Resource management Surveillance Neural networks Information processing Mechatronics Dynamic Coalition Wireless Sensor Network Task Allocation Multi-sensor Multi-target Tracking Neural Network |
| Content Type | Text |
| Resource Type | Article |
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