title: Energy-efficient routing control algorithm in large-scale WSN for water environment monitoring with application to Three Gorges Reservoir area.
abstract: The typical application backgrounds of large-scale WSN (wireless sensor networks) for the water environment monitoring in the Three Gorges Reservoir are large coverage area and wide distribution. To maximally prolong lifetime of large-scale WSN, a new energy-saving routing algorithm has been proposed, using the method of maximum energy-welfare optimization clustering. Firstly, temporary clusters are formed based on two main parameters, the remaining energy of nodes and the distance between a node and the base station. Secondly, the algorithm adjusts cluster heads and optimizes the clustering according to the maximum energy-welfare of the cluster by the cluster head shifting mechanism. Finally, in order to save node energy efficiently, cluster heads transmit data to the base station in single-hop and multihop way. Theoretical analysis and simulation results show that the proposed algorithm is feasible and advanced. It can efficiently save the node energy, balance the energy dissipation of all nodes, and prolong the network lifetime.
authors.affiliation: College of Communication Engineering, Chongqing University, Chongqing 400044, China ; School of Automation, Chongqing University, Chongqing 400044, China.
authors.forename: Yuanchang
authors.initials: Y
authors.lastname: Zhong
authors.affiliation: College of Communication Engineering, Chongqing University, Chongqing 400044, China.
authors.forename: Lin
authors.identifier: 0000-0003-4622-6913
authors.initials: L
authors.lastname: Cheng
authors.affiliation: College of Communication Engineering, Chongqing University, Chongqing 400044, China.
authors.forename: Liang
authors.initials: L
authors.lastname: Zhang
authors.affiliation: School of Automation, Chongqing University, Chongqing 400044, China.
authors.forename: Yongduan
authors.initials: Y
authors.lastname: Song
authors.affiliation: Department of Engineering, Faculty of Engineering and Science, University of Agder, N-4898 Grimstad, Norway.
authors.forename: Hamid Reza
authors.identifier: 0000-0001-7629-3266
authors.initials: HR
authors.lastname: Karimi
mesh_terms: D000465:Algorithms; D004784:Environmental Monitoring; D060753:Water Quality