| Wireless Mesh Network(WMN)is one of the most common network infrastructures.Because of its easy deployment and maintenance,low cost of coverage,self-organization and self-recovery,it has been an important research topic in the field of wireless network communication.Because WMNS are composed of multiple mobile terminals,Mesh routers with complex structure and function,and distributed routing protocols are adopted,it is difficult to control and maintain the network in a centralized manner.When the network traffic increases greatly,some links are congested,leading to long transmission delay and queuing time,which reduces user experience.In addition,with the continuous growth of traffic on the Internet,network equipment consumes more and more energy with the increase of transmission capacity,so reducing network power consumption is also an important topic.In order to overcome the above problems,the software-defined architecture separates the control plane and data plane of the device,and the central controller decides the routing path and the flow table,which can accelerate the deployment,configuration,and evolution of the network.In this paper,wireless Mesh networks are combined with Software Defined networks(SDN)to improve routing decision making and resource allocation capabilities.The main contents of the paper are as follows:1.In order to find the optimal route with better communication quality,a multiobjective routing optimization algorithm for artificial bee colony based on SD-WMN is proposed.For the research of multi-objective routing optimization management,firstly,the routing problem is expressed as an integer linear programming(ILP)model,and the multi-objective function,constraint conditions and the overall network optimization model are designed to adapt to the SD-WMN architecture.At the same time,the factors such as delay,link load and reliability are considered to construct a good routing path.In addition,since this integer linear programming model is NPcomplete,this paper introduces an improved artificial bee colony Multi-objective optimization algorithm(ABC-MOP)into the routing optimization algorithm to obtain the optimal path for transmitting traffic between the source node and the destination node.The algorithm combines the bee colony algorithm with genetic operator,and improves the ability of searching the optimal path and calculating the search speed of the path through mutation,selection and crossover among the populations.The simulation results of the proposed method in Mininet-Wi Fi network simulation tool prove the effectiveness of the proposed algorithm.Compared with OSPF,SDNR and genetic ant colony optimization(G-ACO),the proposed method has some improvement in packet loss rate,round-trip time and load balancing.2.In order to reduce energy consumption,this paper proposes a traffic management mechanism based on SD-WMN,which can dynamically adjust network resources and reduce power consumption during network operation to prevent over deployment of infrastructure.After evaluating the link status,the algorithm consolidates weakly correlated network flows to improve link utilization,redirects network flows on high-load links,balances the load on links,and reallocates traffic on low-load links to alternative routes to keep links idle and save energy.If all ports on the switch are disabled,the switch can be completely shut down to save more energy.Finally,the simulation was carried out on the experimental platform MininetWi Fi.Compared with the energy consumption of MBAL and SPF algorithm,the energy saving percentage was increased by at least 2% in the simulation experiment,and the experiment showed that this mechanism has a good energy-saving effect at night or in low-load networks. |
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