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Network Coding Based Traffic Assignment Scheme For Wireless Sensor Network

Posted on:2019-02-11Degree:MasterType:Thesis
Country:ChinaCandidate:Q H TaoFull Text:PDF
GTID:2428330566496068Subject:Information networks
Abstract/Summary:PDF Full Text Request
With the development of wireless sensor network in the fields of military,civil and industrial production,WSN applications have put forward higher requirements for network throughput.Aiming at this problem,this paper uses the broadcast characteristics of WSN nodes to fuse network coding.Network coding technology can improve network throughput and balance network load.The main work of the paper is as follows:First,the theoretical basis of WSN and network coding is introduced,and the research status at home and abroad is analyzed.Typical routing protocols and physical layer protocols for WSN are briefly described.According to the typical routing protocol of WSN – LEACH and its clustering structure characteristics,this paper adds network coding to Sink node,and proposes C-LEACH model.The improved algorithm can enhance throughput of Sink node and prolong the life cycle of network.Then,for large data WSN,this paper establishes a network model and analyzes data flow,and proposes a cross-layer network coding flow allocation method based on reverse flow--the NCARP mechanism.The traditional routing protocol and network encoding routing protocol are unable to initiative to create coding opportunities.The NCARP mechanism uses reverse flow to cluster the nodes and optimizes the traffic in the cluster.CAMP routing protocol cannot use the network encoding balance network load,while NCARP can reduce the node congestion and balance the load of the network with flow allocation mechanism based on link flow.Last,in the physical layer,NCARP provides a code negotiation and data forwarding method--NCNMAC mechanism,which uses code negotiation and BPSK coding to implement XOR coding in physical layer.NCNMAC mechanism can further reduce transmission times.The simulation model 1 is proposed for large amount of data.The simulation results show that compared with COPE and CAMP,NCARP can significantly improve network throughput and balance network load.The simulation model 2 is provided for the physical layer.The simulation results show that the NCNMAC mechanism can further reduce the number of transmission.
Keywords/Search Tags:Wireless Sensor Networks, Reverse Flow Clustering, Cross-Layer Network Coding, Distributed Flow Allocation
PDF Full Text Request
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