Swarm Intelligence Algorithm And Its Application In Heterogeneous Network Selection

Heterogeneous wireless networks in multi network coverage scenarios at present have become one of the development trends of the next generation wireless communication technology.Heterogeneous wireless network integration technology not only expands the user capacity of the network,but also improves the utilization rate of network resources from the network level.More users are allowed to make network selection on the same time node to meet the Qo S(quality of service)and Qo E(quality of experience)requirements of users at the user level.Therefore,a suitable network choice is very important for users.This paper has carried out in-depth research and the main research contents are as follows:1.The application of gravitation search algorithm in heterogeneous network selection is studied.The algorithm is improved by introducing crossover operator and Metropolis criterion.The feasibility and effectiveness of the improved algorithm are verified by testing functions.Then,the network selection function is constructed under the heterogeneous network scenarios composed of LTE,WCDMA,WLAN1 and WLAN2.The improved gravitation search algorithm is applied to network selection.2.The application of bird swarm algorithm in heterogeneous network selection is studied.The algorithm is improved by introducing centroid opposition-based learning,dynamic adjustment of migration cycle and step size improvement.At the same time,the standard test function is used to verify the effect of the improved algorithm.Then,the network selection function is constructed in LTE,UMTS,Wi MAX and WLAN scenarios.The improved bird swarm algorithm is applied to network selection.3.The application of social group optimization algorithm in heterogeneous network selection is studied.The algorithm is improved by piecewise Logistic chaotic mapping,dynamic learning factor and historical archiving criteria.At the same time,the standard test function is used to verify the performance of the improved algorithm.Then in LTE,UMTS and WLAN scenarios,the improved social group optimization algorithm is applied to network selection...