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Research On Load Intelligent Perception And Power Optimization Of Wireless Router

Posted on:2019-06-04Degree:MasterType:Thesis
Country:ChinaCandidate:S T RenFull Text:PDF
GTID:2518305945463264Subject:Mechanical and electrical engineering
Abstract/Summary:PDF Full Text Request
This paper is based on the green Internet,from the practical point of view,to research the method to enhance the intelligence of home wireless routers,reduce the router's energy consumption and improve the user's online experience.This paper presents a router load intelligent perception method,which provides the basis for router intelligent adjustment.The main research contents are:(1)The composition and system of router are described in detail.The burning of router Open Wrt system and the construction of hardware development platform are introduced.The router related perception and power consumption dynamic management technology are analyzed.(2)This paper analyzes the predictability of user network traffic,and the reasons why network traffic is chosen as the router perception factor.By improving the BP neural network to predict the network traffic,the prediction accuracy of the network traffic is improved.(3)The relationship of signal strength with transmitting power and distance is analyzed.It is proved by experiments that signal strength can be used as an important basis for intelligent adjustment of routers.The RBF neural network is used to predict the signal strength,and the parameters of the network are optimized so that the prediction accuracy of the signal strength is improved.(4)The key technologies related to dynamic power management of routers are introduced,and the predicted network traffic and signal strength as the important basis for intelligent regulation of router power consumption are introduced.According to the result of router intelligent perception prediction,the state of the routers' transmitting power is adjusted intelligently.This paper compares and analyzes several existing intelligent perception methods of routers and improves BP neural network and RBF neural network,which improves the accuracy of intelligent perception of user parameters of routers.It is proved by experiments that the intelligent perception method proposed in this paper can perceive the change of the router load,and provides a basis for reducing the power consumption of the router.Using this mechanism,the router can not only enhance its intelligence,save energy,but also improve the user's experience on the Internet.
Keywords/Search Tags:Intelligent router, Load intelligent perception, Adaptive adjustment, Power consumption
PDF Full Text Request
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