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Research On Energy-efficient Coverage Control Technology In WSN

Posted on:2017-10-17Degree:MasterType:Thesis
Country:ChinaCandidate:J L LiFull Text:PDF
GTID:2348330518996962Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
Energy efficiency has always been the core issue of research in the field of WSN considering the limited energy of sensor itself and the infeasibility and high cost of energy supplement.The design of WSN should minimize energy consumption,improve network energy balance and prolong the lifespan of the network.This paper studied the energy-efficient coverage control techniques from two aspects:network deployment scheduling and efficient routing protocol design in this paper.Firstly,This paper propose a Percolation Model on Novel Gilbert Graph(PM-NGG)to obtain the critical density at which the network can become fully covered and connected considering the similarity between the occurrence of percolation and the formation of a covered&connected network.This paper define the sensing and communication model in directional sensor network in presence of channel randomness including deterministic path attenuation,shadow fading and multipath fading.Besides,this paper discuss the coverage and connectivity together as a whole under the proposed model.It is worth mentioning that the theoretical analysis and simulation results of the relationship between critical density and transmitting power give insights into the design of directional sensor network in practice.Then,this paper proposed an energy-efficient chaos particle swarm optimization(CPSO)-based clustering protocol that characterizing the cluster with AMRP(average minimum reachable power),CHEA(cluster head energy assessment),CHUA(cluster head uniformity assessment),which comprehensively considering the intra and inter cluster energy consumption,residual energy of cluster heads(CHs)as well as the uniformity of the distribution of CHs.In addition,by incorporating chaos into standard PSO,the premature phenomenon of PSO can be avoided effectively and the lifetime of the network is greatly extended compared with the existing algorithms.
Keywords/Search Tags:energy efficiency, coverage control, non-uniform clustering protocol, percolation, connectivity
PDF Full Text Request
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