Research On Wireless Network Access Control Technology For Integrated Airborne System

Aviation is an important means of transport for people to travel quickly.However,once people enter the airplane cabin,for the safety,the mobile electronic equipment carried is in the state of being closed.Although some of the current aviation allow the use of mobile terminals,but mobile terminals are not free access to the wireless network.Coupled with the old airborne entertainment system and boring on-board entertainment projects,it is difficult to meet people’s pursuit of a variety of lifestyles and easy to lead passengers in the boring.In order to meet user’s high-quality service needs,the network access technology for integrated airborne systems in heterogeneous wireless network environment is studied from the perspective of Qo S and load balancing.In order to meet the Qo S of user’s service in the airport,based on triangular fuzzy number,a wireless network access algorithm for integrated airborne systems based on Qo S,combining FAHP and FTOPSIS,is proposed.The algorithm establishes a multi-attribute decision model.The importance of each attribute of different service types is evaluated by FAHP,and the fuzzy weight value of each attribute is obtained.Then,the candidate network is evaluated and rated by FTOPSIS according to the real-time network parameters.The optimal network is selected for access and the feasibility and superiority of the algorithm are also verified by simulation.For the application scenario in which a large number of service at the same time access to the same network and service traffic surges,in order to avoid the influence of network congestion or paralysis on the user’s service experience on the aircraft,a load balancing mechanism is introduced and a wireless network access algorithm for integrated airborne systems with load balancing is proposed to solve the problem of resource utilization imbalance in heterogeneous wireless networks.The algorithm takes into account the aircraft mobility,service types,location prediction and network load.The network performance is analyzed by establishing the three-dimensional Markov model.And the algorithm is validated at the service blocking rate,switching blocking rate and the average system throughput and so on,which improves the wireless resource utilization and guarantees the user’s high-quality service experience.