Title: Adaptive bat algorithm for coverage of wireless sensor network

Authors: Xingjuan Cai; Lei Wang; Qi Kang; Qidi Wu

Addresses: Department of Control Science and Engineering, Tongji University, Shanghai 201804, China; Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Taiyuan 030024, China ' Department of Control Science and Engineering, Tongji University, Shanghai 201804, China; Shanghai Key Laboratory of Financial Information Technology, Shanghai 200433, China ' Department of Control Science and Engineering, Tongji University, Shanghai 201804, China ' Department of Control Science and Engineering, Tongji University, Shanghai 201804, China

Abstract: Bat algorithm is a novel swarm intelligent algorithm inspired by the echolocation behaviour of bats. Pulse rate of emission is one important parameter, which is adjusted in an exponential manner in the standard version, however, this manner provides a fast convergent behaviour in the first several generations. With this manner, the exploitation capability is limited. In this paper, a new linear adjusted manner is employed to enhance the local search capability. To test the performance, it is applied to solve the optimal coverage problem of Wireless Sensor Network (WSN). Simulation results show it is effective when compared with the standard version of bat algorithm.

Keywords: adaptive bat algorithm; network coverage; wireless sensor networks; WSNs; WSN coverage; pulse emission rate; optimal coverage; optimisation; swarm intelligence; simulation.

DOI: 10.1504/IJWMC.2015.069411

International Journal of Wireless and Mobile Computing, 2015 Vol.8 No.3, pp.271 - 276

Received: 25 Nov 2014
Accepted: 04 Feb 2015

Published online: 13 May 2015 *

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