Title: Sensor device scheduling-based cuckoo algorithm for enhancing lifetime of cluster-based wireless sensor networks
Authors: Mazin Kadhum Hameed; Ali Kadhum Idrees
Addresses: Department of Software, University of Babylon, Babylon, Iraq ' Department of Computer Science, University of Babylon, Babylon, Iraq
Abstract: This study proposes the Sensor Device Scheduling-based Cuckoo Algorithm (SeDeSCA) for enhancing the lifespan of cluster-based WSNs. SeDeSCA consists of two phases: clustering and scheduling. The WSN is clustered into clusters using the DBSCAN algorithm in the first phase. The scheduling phase is periodic and consists of three steps: cluster head polling, scheduling decision-based optimisation, and covering. The sensors in each cluster choose their cluster head, which executes the Cuckoo Algorithm (CA) to select a suitable schedule of sensors that will achieve sensing during the current period. The aim of scheduling is to minimise energy consumption and ensure sufficient coverage for the monitored area while maximising network lifespan. The third step is to cover the area of interest with the sensors that are scheduled to be active during this period. The simulation results show that SeDeSCA improves the network lifespan and coverage ratio, as well as the lifespan of WSNs.
Keywords: wireless sensor networks; cuckoo algorithm; DBSCAN; lifetime enhancement; scheduling algorithms.
International Journal of Computer Applications in Technology, 2022 Vol.68 No.1, pp.58 - 69
Received: 29 Oct 2020
Accepted: 18 Mar 2021
Published online: 06 Jun 2022 *