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Tracking the events in the coverage of wireless sensor networks based on artificial neural-networks algorithms |
| BAI Rong-gang1, QU Yu-gui1, LIN Zhi-ting1, WANG Qing-hua1, ZHAO Bao-hua2 |
| 1.Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China; 2.Department of Computer, University of Science and Technology of China, Hefei 230027, China |
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Abstract Sensor deployment is an important problem in mobile wireless sensor networks. This paper presents a distributed self-spreading deployment algorithm (SOMDA) for mobile sensors based on artificial neural-networks selforganizing maps algorithm. During the deployment, the nodes compete to track the event and cooperate to form an ordered topology. After going through the algorithm, the statistical distribution of the nodes approaches that of the events in the interest area. The performance of the algorithm is evaluated by the covered percentage of region/events, the detecting ability and the energy equalization of the networks. The simulation results indicate that SOMDA outperforms uniform and random deployment with lossless coverage, enhancive detecting ability and significant energy equalization.
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Issue Date: 05 December 2006
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