Abstract
Prolonging the lifetime of the network is an important issue in the design and deployment of wireless sensor networks (WSN). One of the crucial factors to prolong lifetime of WSNs is to reduce energy consumption. In this study, Bat algorithm (BA) is used to find out an optimal cluster formation trying to minimize the total communication distance. Taking into account the hot spot problem in multihop WSNs, the communication distance is modeled by bat’s loudness parameter in our scheme. The communication distance and energy consumption of each node in the cluster can then be optimized with the bat algorithm. The experimental results show that this approach achieves 3% improvement of convergence and accuracy in comparison with Particle swarm optimization.
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Nguyen, TT., Shieh, CS., Horng, MF., Ngo, TG., Dao, TK. (2015). Unequal Clustering Formation Based on Bat Algorithm forWireless Sensor Networks. In: Nguyen, VH., Le, AC., Huynh, VN. (eds) Knowledge and Systems Engineering. Advances in Intelligent Systems and Computing, vol 326. Springer, Cham. https://doi.org/10.1007/978-3-319-11680-8_53
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DOI: https://doi.org/10.1007/978-3-319-11680-8_53
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11679-2
Online ISBN: 978-3-319-11680-8
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