Abstract
To the problem of randomly deployed nodes failing to guarantee the network coverage and the objects detection probability, this study puts forward a coverage optimization algorithm of wireless sensor network based on simplified virtual forces-oriented particle swarm with mutate mechanism (SVF-PS-MA), which would improve the update speed of particle swarm algorithm, guide the direction of particle evolution and speed up the algorithm convergence by dislodging attractive forces from the virtual forces. And this algorithm introduces the mutate mechanism, take the mutation for particles, improve the particles diversity and reduce the probability of particles falling into the local optimization. The result shows that the algorithm can improve the network coverage effectively, and guarantee less time-consumption.
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Han, X., Li, S., Pang, X. (2012). Coverage Optimization Algorithm of Wireless Sensor Network. In: Jin, D., Lin, S. (eds) Advances in Future Computer and Control Systems. Advances in Intelligent and Soft Computing, vol 159. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29387-0_6
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DOI: https://doi.org/10.1007/978-3-642-29387-0_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29386-3
Online ISBN: 978-3-642-29387-0
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