Abstract
It is known that sensor nodes equipped with limited battery power in wireless sensor network, the sensor network will paralyze if sensor node run out of its energy. Therefore energy awareness is an essential consideration for wireless sensor network. Recent advances in wireless sensor networks have led to many new protocols specifically for saving sensor node’s energy. A new scheme for predetermining the optimized routing path is proposed based on the evolved bat algorithm (EBA) in this paper. This is the first leading precedent that the EBA is employed to provide the routing scheme for the WSN. A simulation is given and the results obtained by the EBA are compared with the AODV, the LD method based on ACO. The simulation results indicate that our proposed method shows good performance on average power consumption.
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References
Yang XS (2010) a new metaheuristic bat-inspired algorithm. In: Gonzalez JR et al (eds) Nature inspired cooperative strategies for optimization (NISCO 2010). Studies in computational intelligence. Springer Berlin, vol 284, pp 65–74
Tsai PW, Pan JS, Liao BY, Tsai MJ, Istanda V (2012) Bat algorithm inspired algorithm for solving numerical optimization problems. Appl Mech Mater 148–149:134–137
Lin JW, Chen YT (2008) Improving the coverage of randomized scheduling in wireless sensor networks. IEEE Trans Wireless Commun 7(12):4807–4812
Liu C, Wu K, Xiao Y, Sun B (2006) Random coverage with guaranteed connectivity: joint scheduling for wireless sensor networks. IEEE Trans Parallel Distrib Syst 17(6):562–575
Kong LP, Pan JS, Tsai PW, Vaclav S, Ho JH (2015) A balanced power consumption algorithm based on enhanced parallel cat swarm optimization for wireless sensor network. Int J Distrib Sensor Netw 729680:10
Perkins CE, Royer EM (1990) Ad-hoc on-demand distance vector routing. In: Proceedings of the 2nd IEEE workshop on mobile computing systems and applications (WMCSA ‘99), pp 90–100
Ho JH, Shih HC, Liao BY, Chu SC (2012) A ladder diffusion algorithm using ant colony optimization for wireless sensor networks. Inf Sci 192:204–212
Acknowledgments
This work is supported by Department of Computer Science, VSB Technical University of Ostrava, College of Information Science and Engineering in Fujian University of Technology and Innovative Information Industry Research Center in Shenzhen Graduate School.
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Pan, JS., Kong, L., Tsai, PW., Vaclav, S., Ho, JH. (2015). A Power Consumption Balancing Algorithm Based on Evolved Bat Algorithm for Wireless Sensor Network. In: Abraham, A., Jiang, X., Snášel, V., Pan, JS. (eds) Intelligent Data Analysis and Applications. Advances in Intelligent Systems and Computing, vol 370. Springer, Cham. https://doi.org/10.1007/978-3-319-21206-7_38
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DOI: https://doi.org/10.1007/978-3-319-21206-7_38
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