Multi-Objective Bacterial Foraging Optimization Algorithm Based on Effective Area in Cognitive Emergency Communication Networks  

作　　者：Shibing Zhang Xue Ji Lili Guo Zhihua Bao 

机构地区：[1]School of Information Science and Technology,Nantong University,Nantong 226019,China [2]Xinglin College,Nantong University,Nantong 226008,China

出　　处：《China Communications》2021年第12期252-269,共18页中国通信（英文版）

基　　金：National Natural Sci-ence Foundation of China(Grant Nos.61871241 and 61771263);Science and Technology Program of Nantong(Grant No.JC2019117).

摘　　要：Cognitive emergency communication net-works can meet the requirements of large capac-ity,high density and low delay in emergency com-munications.This paper analyzes the properties of emergency users in cognitive emergency communi-cation networks,designs a multi-objective optimiza-tion and proposes a novel multi-objective bacterial foraging optimization algorithm based on effective area(MOBFO-EA)to maximize the transmission rate while maximizing the lifecycle of the network.In the algorithm,the effective area is proposed to prevent the algorithm from falling into a local optimum,and the diversity and uniformity of the Pareto-optimal solu-tions distributed in the effective area are used to eval-uate the optimization algorithm.Then,the dynamic preservation is used to enhance the competitiveness of excellent individuals and the uniformity and diversity of the Pareto-optimal solutions in the effective area.Finally,the adaptive step size,adaptive moving direc-tion and inertial weight are used to shorten the search time of bacteria and accelerate the optimization con-vergence.The simulation results show that the pro-posed MOBFO-EA algorithm improves the efficiency of the Pareto-optimal solutions by approximately 55%compared with the MOPSO algorithm and by approx-imately 60%compared with the MOBFO algorithm and has the fastest and smoothest convergence.

关 键 词：wireless communications emergency communications cognitive radio networks multi-objective optimization algorithm effective areas self-adaption 

分 类 号：TN915.0[电子电信—通信与信息系统] TP18[电子电信—信息与通信工程]