Abstract
Wireless sensor networks have recently emerged as a premier research topic. They have great longterm economic potential, ability to transform our lives, and pose many new system-building challenges. One of the fundamental problems in sensor networks is the calculation of the coverage. In this paper, an optimal distribution based on Genetic Algorithm is proposed in the initial planning of sensor network. Moreover, a new optimizing algorithm of sensor node distribution is designed by utilizing node topology in sensor network, which provides a sound effective means for the topology management of sensor network. Simulation shows that this efficient algorithm optimally solved the best-coverage problem raised in [1].
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Zhao, J., Wen, Y., Shang, R., Wang, G. (2004). Optimizing Sensor Node Distribution with Genetic Algorithm in Wireless Sensor Network. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks - ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28648-6_38
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DOI: https://doi.org/10.1007/978-3-540-28648-6_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22843-1
Online ISBN: 978-3-540-28648-6
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