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Genetic Sleep Scheduling Method For Communication Networks Based On Routing Computation

Posted on:2020-12-05Degree:MasterType:Thesis
Country:ChinaCandidate:H ChenFull Text:PDF
GTID:2428330590484496Subject:Communication and Information System
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Nowadays,the information and communication technology devices are consuming a significant portion of global energy consumption,and the network devices is a big part of them,and they will consume much more energy as the development of mobile internet.In order to deal with the traffic load of peak hour,the communication networks adopts redundant design,which leads to lots of devices that have no traffic load on but still consume a significant portion of energy,results in the under-utilization of network devices.Thus,its necessary for us to design a scheme to improve energy efficiency of communication networks and realize the green network.Sleep scheduling algorithm is meant to put idle devices,which still consume lots of energy,into sleep to save unnecessary energy and improve energy efficiency of network.In this paper,we formulate the optimal sleep scheduling algorithm into optimal problem from the perspective of routing computation,which aggregates the traffic loads to fewer active devices by route selection and put the idle devices into sleep to save energy.We then design a genetic sleep scheduling method for communication networks based on routing computation to find out a near-optimal routing solution,since genetic algorithm is often regarded as a excellent algorithm to deal with optimal problem.The software defined network(SDN)separates the control plane and the data plane,and provides programmable restful APIs,which make it convenient for us to deploy our proposal genetic sleep scheduling method for communication networks based on routing computation in its application layer.We introduce two realistic network instants of difference size from the online database survivable network design library to do our simulation.We also use five metrics,including link saving ratio,node saving ratio,average link utilization,average node utilization and energy saving ratio,to study the performance of our proposed algorithm by comparing to the existing schemes like energy aware routing algorithm,heuristic algorithm and the optimal sleep scheduling algorithm.The simulation results show that our proposed genetic sleep scheduling method for communication networks based on routing computation dose have an excellent performance in saving energy.
Keywords/Search Tags:Green networks, Sleeping scheduling, Energy efficiency, Genetic algorithm
PDF Full Text Request
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