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Research On Routing Algorithm For Low Voltage Power Line Carrier Communication Network Based On Clustered Spider

Posted on:2018-09-22Degree:MasterType:Thesis
Country:ChinaCandidate:X WuFull Text:PDF
GTID:2348330536477343Subject:computer science and Technology
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LVPLC(Low-voltage Power Line Communication)in the transmission of power,at the same time,can carry data,voice and video,are widely used in remote streetlight monitoring,power line automatic meter reading system and embedded intelligent home furnishing etc..Nevertheless,due to the complexity and changeability of the physical topology of power line network,the reliability of power line carrier communication network is not enough,which restricts the scale expansion of power line carrier communication network.In order to solve this problem,a large number of studies focus on the improvement of the physical layer and data link layer technology,but also can not resolve the problem of lack of communication reliability,so people turn to higher network layer routing protocol,an efficient and scientific research.Based on the research of the LVPLCN(Low-voltage Power Line Communication Network),a variety of combination routing algorithms is proposed.Although the existing network routing algorithms have different degrees of problems,and can not take into account the reliabilityof communication and the complexity of the algorithm.Aiming at the reliability and stability of communication problems,this thesis compared and summarized through in-depth analysis of the common routing algorithm,based on the architecture cluster network with cobweb model,non overlapping cluster structure to build a class web framework,in the same logic layer in the design of routing algorithm based on the application of the network model in the low-voltage power line carrier communication network.This paper analyzes the common routing algorithm,and points out its pros and cons and improvement direction;give priority to the clustering algorithm and single-layer artificial cobweb algorithm for non overlapping type,on this basis,make full use of the advantage of the two construction group network model combined with the clustering web be made one.Subsequently,based on the network model,the algorithm is designed,and the algorithm is verified by MATLAB simulation tool.The results show that this algorithm combines the advantages of network clustering algorithm and single-layer artificial cobweb algorithm for non overlapping type of network,power line network re complex,and the optimization of the network structure,improve network efficiency,for the subsequent path optimization made good bedding.Then,the application of ant colony algorithm to LVPLCN theproblem of low efficiency,according to the clustering web to organize the network network combining method with non overlapping clustering structure for web topology framework,routing design of low-voltage power line carrier communication network Web Clustering Algorithm Based on network.After re networking,the network structure is optimized,the path between nodes is clear,which can reduce the search time,shorten the search time,and manage to avert the premature convergence to non optimal results.Ant colony algorithm is used to search the optimal path of the node and any node in the network.Finally,analysis of experiment and comparison of routing algorithm,using ant colony algorithm and routing algorithm based on clustering web network LVPLCN path optimization method,even if the great number of iterations of path delay,packet loss rate and the hops are analyzed.A limited number of power line carrier module is used to build the experimental platform to form a low voltage power line network.The experimental results depict that the carrier communication network routing algorithm for low voltage power line network clustering web to improve the communication reliability based on the protection of the stability of low-voltage power line communication network,has certain practical significance.
Keywords/Search Tags:low voltage power line carrier communication, clustering spider, networking method, ant colony algorithm, path optimization
PDF Full Text Request
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