6533b7d2fe1ef96bd125f611

RESEARCH PRODUCT

Energy-efficient routing control algorithm in large-scale WSN for water environment monitoring with application to Three Gorges Reservoir area

Yuanchang ZhongLiang ZhangHamid Reza KarimiYongduan SongLin Cheng

subject

Article SubjectComputer scienceReal-time computinglcsh:Medicinelcsh:TechnologyGeneral Biochemistry Genetics and Molecular BiologyBase stationWater QualityComputer Science::Networking and Internet ArchitectureWater environmentCluster (physics)lcsh:ScienceCluster analysisGeneral Environmental Sciencelcsh:TNode (networking)lcsh:RVDP::Technology: 500::Information and communication technology: 550General MedicineDissipationlcsh:QWireless sensor networkAlgorithmsEnergy (signal processing)Environmental MonitoringResearch Article

description

Published version of an article in the journal: The Scientific World Journal. Also available from the publisher at: http://dx.doi.org/10.1155/2014/802915 Open Access 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.

10.1155/2014/802915http://hdl.handle.net/11250/227077