Research on Fuzzy Information Adaptive Location in Electronic Communication Network 

Xiaobao Zhang, Wei Chen 

College of Information Engineering, NanChang University College of Science and Technology, Jiujiang, 332020, China 

Abstract: Research on the positioning of mobile communication information in wireless network can better guarantee the operation quality of wireless network. Traditional methods use the influence degree of unknown information on positioning accuracy to adjust the influence weight of sampled particles to complete informa-tion positioning. However, the positioning model is not established, which leads to inaccurate positioning. In this paper, a wireless network based on particle swarm optimization (PSO) is proposed to optimize the fuzzy information adaptive localization method in electronic communication network. The mean square error be-tween the estimated signal and the observed value of the fuzzy information in the electronic communication network is obtained by fusing the feature location principle. The mobile communication information location problem in the wireless network is transformed into a nonlinear optimization problem of the objective func-tion. The location estimation probability of the information to be located is calculated, and a proposed density is searched to ｒｅｐｌａｃｅ the real location probability density of the mobile communication information that can-not be collected Particle swarm optimization algorithm constructs the adaptability function and penalty func-tion of network mobile communication information location, constructs the network mobile communication information location model based on particle swarm optimization, and uses the above model to carry out the global optimal solution to the nonlinear optimization problem of the transformed objective function, so as to complete the network mobile communication information location. Simulation results show that the improved method has high positioning accuracy and can effectively improve the operation quality of the network. 

Keywords: Electronic communication; Information adaptation; Information location