@Article{cmc.2023.040693,
AUTHOR = {Farhan Amin, Gyu Sang Choi},
TITLE = {Intelligent Service Search Model Using Emerging Technologies},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {77},
YEAR = {2023},
NUMBER = {1},
PAGES = {1165--1181},
URL = {http://www.techscience.com/cmc/v77n1/54469},
ISSN = {1546-2226},
ABSTRACT = {In recent years, the Internet of Things (IoT) has played a vital role in providing various services to users in a smart city. However, searching for services, objects, data, and frameworks remains a concern. The technological advancements in Cyber-Physical Systems (CPSs) and the Social Internet of Things (SIoT) open a new era of research. Thus, we propose a Cyber-Physical-Social Systems (CPSs) for service search. Herein, service search and object discovery operation carries with the suitable selection of friends in the network. Our proposed model constructs a graph and performs social network analysis (SNA). We suggest degree centrality, clustering, and scale-free emergence and show that a rational selection of friends per service exploration increases the overall network navigability. The efficiency of our proposed system is verified using real-world datasets based on service processing time, path length, giant component, and network diameter. The simulation results proved that our proposed system is efficient, robust, and scalable.},
DOI = {10.32604/cmc.2023.040693}
}