Title: An energy-efficient point-coverage-aware clustering protocol in wireless sensor networks
Authors: Tri Gia Nguyen; Chakchai So-In
Addresses: Applied Network Technology (ANT) Laboratory, Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen, 40002, Thailand; Department of Information Technology, Duy Tan University, Da Nang, 550000, Vietnam ' Applied Network Technology (ANT) Laboratory, Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen, 40002, Thailand
Abstract: Preserving coverage is one of the most essential functions to guarantee quality of service in wireless sensor networks. With this key constraint, the energy consumption of the sensors including their transmission behaviour is a challenging problem in term of how to efficiently use them while achieving good coverage performance. This research proposes a clustering protocol, point-coverage-aware (PCACP), based on point-coverage awareness with energy optimisations that focuses on a holistic view with respect to activation sensors, network clustering and multi-hop communication, to improve energy efficiency, i.e., network lifetime extension while preserving coverage and maximising the network coverage. The simulation results demonstrate the effectiveness of PCACP, which strongly improves the performance. Given a diversity of deployments with scalability concerns, PCACP outperformed other competitive protocols, i.e., low energy adaptive clustering hierarchy (LEACH), coverage-preserving clustering protocol (CPCP), energy-aware distributed clustering (EADC) and energy and coverage-aware distributed clustering (ECDC) in terms of conserving energy, sensing point coverage ratios and overall network lifetime.
Keywords: coverage-aware; point coverage; sensor activation; clustering; energy-efficient; WSNs; wireless sensor networks.
DOI: 10.1504/IJAHUC.2018.092882
International Journal of Ad Hoc and Ubiquitous Computing, 2018 Vol.28 No.3, pp.148 - 167
Received: 05 Oct 2015
Accepted: 02 May 2016
Published online: 02 Jul 2018 *