Research On Heterogeneous Wireless Network Selection Algorithm Based On Multi-attribute Decision And Power Adaptive

With the rapid development of wireless communication technology,a variety of different wireless access technologies emerge in endlessly,competing with each other and complementing each other,providing users with a variety of services.However,the popularity of intelligent mobile terminal and the development of new media industry make the service demand of users more and more diversified.In the current environment of heterogeneous wireless networks with multiple wireless networks,no wireless access technology can meet all needs of users.In order to guarantee the good service experience of users,the integration of heterogeneous wireless networks is an inevitable trend,and the selection algorithm of wireless networks is one of the key technologies.This paper studies the network selection algorithm of multi-attribute decision-making from the aspects of user preference,service characteristics,terminal status,and the following two network selection algorithms are proposed:The first is a wireless network selection algorithm based on multi-attribute and synergetic theory.On the basis of multi-attribute decision-making,the algorithm uses synergetic theory and considers two factors: service characteristics and user preferences.In the process of network selection,in order to combine user preferences and service characteristics more reasonably,each candidate network is regarded as a composite system,which is composed of two subsystems: user preferences and service characteristics.These subsystems cooperate with each other to present the overall performance of the network.First,improved FAHP(fuzzy analytical hierarchy process),Standard deviation are used to calculate the network attribute weight of each subsystem.Then,TOPSIS(technology for order preference by similarity to ideal solution)and other methods are used to calculate the order parameters of each subsystem.Finally,according to the information entropy and historical records,the degree of cooperation among subsystems is obtained,and the candidate network with the highest degree of cooperation is selected.Simulation results show that the algorithm can effectively cooperate with user preferences and service characteristics to select the best network.At the same time,unnecessary handoff is reduced and ping-pong effect is avoided.The second algorithm is an improved power adaptive network selection algorithm,which study the influence of terminal status on network selection based on terminal power status.According to the different power status,the weight of corresponding attributes is adjusted gradually,so that the selected network is more suitable for the current status of the terminal.The entropy method and FAHP method based on fuzzy consistency matrix are used to calculate the comprehensive weight.The weight is changed by the weight adaptive mechanism directly related to power.The TOPSIS algorithm based on power adaptive threshold is used to select the best network.Through a series of improvements,the weight calculation and adaptive mechanism are more reasonable.At the same time,it reduces the complexity of calculation,avoids frequent handoff,and prolongs the use time of the terminal.