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Research On Energy Balance Adaptive Uneven Clustering Routing Protocol For Coal Mine WSN

Posted on:2022-07-20Degree:MasterType:Thesis
Country:ChinaCandidate:K Y WuFull Text:PDF
GTID:2481306533972709Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
Coal is an important component of the country's energy industry,However,the frequent occurrence of coal mining safety accidents has posed a threat to coal mine safety production.The coal mine safety production monitoring and control system can prevent underground disasters in advance,and can play an important role in coal mine safety production.The main existing monitoring and control system for networking in a wired manner,its installation and wiring is more complicated,and continuous energy supply may give mine a security risk.Wireless sensor network with the deployment of simple,self-organizing,low power consumption and other characteristics,has important research value in the field of mine safety and production monitoring and control system.However,WSNs for coal mines are usually distributed in places with poor underground environments and limited energy supply."Energy holes" are prone to appear in the process of sensing and transmission,which will affect the performance and life of the network.Therefore,studying and solving the "energy hole" problem of coal mine wireless sensor network,optimizing the performance and life of wireless sensor network to the greatest extent,and giving full play to the role of the network have important theoretical value and practical significance.Based on the existing routing protocol,this paper studies the energy balance problem in underground WSN in coal mines.The main research content and innovation results are as follows:(1)Summarize the research status of uneven clustering routing protocols,focus on the research on cluster head selection,multi-hop path selection and uneven energy consumption,and discuss the research ideas of the thesis.(2)Using related technical theories and related mathematical knowledge in graph theory,researched and analyzed the WSN model based on graph theory;deeply analyzed the environment of underground communication in coal mines and the actual application requirements of WSN,and proposed wireless sensors for coal mines based on graph theory The network model lays a theoretical foundation for the quantitative analysis in the following text.(3)Based on the wireless sensor network model based on graph theory,an AEBUC routing protocol based on energy balance and self-adaptation is proposed.In the selection of the cluster head,the remaining energy of the node,the density of the node and the distance from the base station are used as parameters to perform adaptive nonuniform clustering;the multi-hop path is based on the transmission distance and the remaining energy of the relay node as a reference,and the minimum generation is used.The tree method is used for path selection,and an efficient communication routing tree is generated between clusters.Experiments show that compared with the DEBUC protocol,this protocol balances network energy consumption and increases network life by 27%,effectively solving the "energy hole" problem in WSN with multi-hop routing between clusters.(4)Based on the research of the coal mine-oriented wireless sensor network model based on graph theory and the AEBUC routing protocol,a coal mine-oriented nonuniform clustering routing protocol based on energy balance and self-adaptation is proposed.In the broadcast time of the formal cluster head election,the distance from the base station is added as a reference for adaptive clustering;the multi-hop path selection still takes the transmission distance and the remaining energy of the relay node as the parameters,and uses the minimum spanning tree Method for path selection.Experiments show that compared with DEBUC,the remaining energy of the network is increased by 11.5%,and the network life is increased by 11%,which balances the energy consumption during WSN operation and prolongs the life of the WSN.This paper has 35 pictures,5 tables,and 68 references.
Keywords/Search Tags:wireless sensor network, uneven clustering, graph theory model, energy balance, adaptive
PDF Full Text Request
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