Title: Performance analysis of computational intelligence techniques for energy efficiency in wireless sensor networks
Authors: M. Dhivya; M. Sundarambal
Addresses: Department of Electrical and Electronics Engineering, Coimbatore Institute of Technology, Coimbatore, Tamilnadu-641014, India ' Department of Electrical and Electronics Engineering, Coimbatore Institute of Technology, Coimbatore, Tamilnadu-641014, India
Abstract: Energy efficient techniques and management schemes are essential in a wireless sensor network, as sensor nodes are power constrained. To restrain the energy problem, it is important to have efficient deployment, scheduling mechanisms and routing schemes. In this paper, heuristics and optimisation techniques for sensor networks are analysed based on their algorithmic attributes for energy efficiency. A detailed view of various swarm intelligence techniques is discussed in context of clustering, routing and MAC applications. The proposed techniques and algorithms are discussed and compared through simulation results.
Keywords: wireless sensor networks; WSNs; energy efficiency; tabu swarm optimisation; TSO; metaheuristics; cuckoo search; cuckoo-based particle approach; CBPA; timeline cluster formation algorithm; TLCA; deployment; scheduling; routing; swarm intelligence; clustering; medium access control; MAC.
International Journal of Business Information Systems, 2014 Vol.16 No.1, pp.42 - 54
Published online: 07 Jun 2014 *Full-text access for editors Access for subscribers Purchase this article Comment on this article