Intelligent Service Search Model Using Emerging Technologies
作者机构:Department of Information and Communication EngineeringYeungnam UniversityGyeongsan38541Korea
出 版 物:《Computers, Materials & Continua》 (计算机、材料和连续体(英文))
年 卷 期:2023年第77卷第10期
页 面:1165-1181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)] 08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术(可授工学、理学学位)]
主 题:Internet of Things Social Internet of Things Cyber-Physical Social systems smart cities service search smart cities
摘 要:In recent years,the Internet of Things(IoT)has played a vital role in providing various services to users in a smart ***,searching for services,objects,data,and frameworks remains a *** technological advancements in Cyber-Physical Systems(CPSs)and the Social Internet of Things(SIoT)open a new era of ***,we propose a Cyber-Physical-Social Systems(CPSs)for service ***,service search and object discovery operation carries with the suitable selection of friends in the *** proposed model constructs a graph and performs social network analysis(SNA).We suggest degree centrality,clustering,and scalefree emergence and show that a rational selection of friends per service exploration increases the overall network *** efficiency of our proposed system is verified using real-world datasets based on service processing time,path length,giant component,and network *** simulation results proved that our proposed system is efficient,robust,and scalable.