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Artificial Bee Colony Algorithm In Wireless Mesh Networks Of Research

Posted on:2014-03-18Degree:MasterType:Thesis
Country:ChinaCandidate:P F WangFull Text:PDF
GTID:2268330401482977Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
ABSTRACT: In recent years, with the rapid development of wirelesscommunication technology and Internet, the wireless network has depth toour work, learning all aspects of interaction and becoming an integral part ofour lives. As key technologies-Wireless Mesh Network was connected to thewireless communications technology and the Internet, favoring more andmore people’s attention and imaging, wireless mesh network was said“wireless internet version”. With the wireless mesh network business ofrequirements and the increasing of the number of users, how to ensurecustomer satisfaction and network services, routing problem has became themost important issue of restricting the development of wireless meshnetwork.This paper first describes the characteristics of the wireless meshnetwork, a brief introduction to the advantages and disadvantages of wirelessmesh network and researching status at home and abroad, focusing oncomparing the difference between wireless mesh network and traditionalnetwork as well as its current industry applications; followed by theintroduction of wireless mesh networks now commonly used routing protocol,which details the MAC layer factors to be considered when designing therouting protocol, and a detailed analysis of the traditional routing metrics.For wireless mesh network’s complex application environment and a varietyof business needs, through cross-layer operation mechanism considering linkreliability, factors such as available bandwidth, transmission delay andinterference degrees, integrated routing metric variable weight coefficientsstandards and the existing routing protocols based on the purpose serialnumber distance vector protocols based on the variable routing metric;according to the characteristics of the algorithm and the computationalcomplexity introduced the now popular bionic intelligent algorithm-artificial bee colony algorithm The algorithm enables the rational allocationof resources, increase the diversity of the solutions to escape from the localoptimal solution to find the optimal solution from the global to some extent overcome the shortcomings of the algorithm is easy to premature stagnation,and according to the algorithm of weighting coefficients change the routingmetric method of mathematical modeling. Brief NS2simulation software anddetailed steps to add routing protocols, NS2.33version built Wireless MeshNetwork simulation environment, artificial bee colony algorithm simulationon the variable routing metric method. Simulation results show that,compared with the previous routing metric method can greatly optimize theeffect of the routing path, optimal path routing to improve networkthroughput and reduce the end-to-end delay, and to a certain extent, so thatthe network reaches the effect of load balancing.
Keywords/Search Tags:Routing metric, Reliability, Available bandwidth, Transmission delay, Interference degree
PDF Full Text Request
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