title: Bioinspired evolutionary algorithm based for improving network coverage in wireless sensor networks.
abstract: Wireless sensor networks (WSNs) include sensor nodes in which each node is able to monitor the physical area and send collected information to the base station for further analysis. The important key of WSNs is detection and coverage of target area which is provided by random deployment. This paper reviews and addresses various area detection and coverage problems in sensor network. This paper organizes many scenarios for applying sensor node movement for improving network coverage based on bioinspired evolutionary algorithm and explains the concern and objective of controlling sensor node coverage. We discuss area coverage and target detection model by evolutionary algorithm.
authors.affiliation: Universiti Technologi Malaysia, Malaysia.
authors.forename: Mohammadjavad
authors.initials: M
authors.lastname: Abbasi
authors.affiliation: Universiti Technologi Malaysia, Malaysia.
authors.forename: Muhammad Shafie
authors.initials: MS
authors.lastname: Bin Abd Latiff
authors.affiliation: Universiti Technologi Malaysia, Malaysia.
authors.forename: Hassan
authors.identifier: 0000-0002-6253-1822
authors.initials: H
authors.lastname: Chizari
mesh_terms: D000465:Algorithms; D003205:Computing Methodologies; D058998:Remote Sensing Technology / Q000379:methods*