IQABC-Based Hybrid Deployment Algorithm for Mobile Robotic Agents Providing Network Coverage

作     者：Shuang Xu Xiaojie Liu Dengao Li Jumin Zhao 

作者机构：College of Computer Science and Technology(College of Data Science)Taiyuan University of TechnologyTaiyuan 030024China Pengcheng LaboratoryShenzhen 518055China College of Information and ComputerTaiyuan University of TechnologyTaiyuan 030024China 

出 版 物：《Tsinghua Science and Technology》 (清华大学学报（自然科学版（英文版）)

年 卷 期：2024年第29卷第2期

页      面：589-604页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 080202[工学-机械电子工程] 08[工学] 081104[工学-模式识别与智能系统] 0804[工学-仪器科学与技术] 0802[工学-机械工程] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China(No.62102280) Fundamental Research Program of Shanxi Province(No.20210302124167) Key Research and Development Program of Shanxi Province(No.202102020101001) National Major Scientific Research Instrument Development Project of China(No.62027819) 

主　　题：wireless robotic networks network coverage deployment algorithm improved quick artificial bee colony 

摘      要：Working as aerial base stations,mobile robotic agents can be formed as a wireless robotic network to provide network services for on-ground mobile devices in a target ***,a challenging issue is how to deploy these mobile robotic agents to provide network services with good quality for more users,while considering the mobility of on-ground *** this paper,to solve this issue,we decouple the coverage problem into the vertical dimension and the horizontal dimension without any loss of optimization and introduce the network coverage model with maximum coverage ***,we propose a hybrid deployment algorithm based on the improved quick artificial bee *** algorithm is composed of a centralized deployment algorithm and a distributed *** proposed deployment algorithm deploy a given number of mobile robotic agents to provide network services for the on-ground devices that are independent and identically *** results have demonstrated that the proposed algorithm deploys agents appropriately to cover more ground area and provide better coverage uniformity.