TY - JOUR
T1 - Internet of Things as Complex Networks
AU - Wu, Xing
AU - Wang, Jianjia
AU - Li, Peng
AU - Luo, Xiliang
AU - Yang, Yang
N1 - Publisher Copyright:
© 1986-2012 IEEE.
PY - 2021/5/1
Y1 - 2021/5/1
N2 - In the past few years, the development of complex networks has stimulated great interest in the study of the principles and mechanisms underlying the Internet of things (IoT). Complex networks have led to significant advances in such an active research field and have been proposed to tackle the associated challenges. From a systematic perspective, complex networks pursue new ways to represent, characterize, and analyze the connections and interactions between a huge volume of sensors, actuators, and processors. The theoretical framework and computational tools for complex networks derive new approaches in analyzing IoT architectures, networks, and services. The convergence of empirical and computational advances opens new frontiers of IoT governance and management, covering network dynamics, resource allocation, and task scheduling across heterogeneous networks. We explore the latest technical trends in modelling and analyzing IoT systems with complex networks to provide a better systematic view and more comprehensive understanding of a variety of IoT technologies spanning from sensors and networks to applications and services.
AB - In the past few years, the development of complex networks has stimulated great interest in the study of the principles and mechanisms underlying the Internet of things (IoT). Complex networks have led to significant advances in such an active research field and have been proposed to tackle the associated challenges. From a systematic perspective, complex networks pursue new ways to represent, characterize, and analyze the connections and interactions between a huge volume of sensors, actuators, and processors. The theoretical framework and computational tools for complex networks derive new approaches in analyzing IoT architectures, networks, and services. The convergence of empirical and computational advances opens new frontiers of IoT governance and management, covering network dynamics, resource allocation, and task scheduling across heterogeneous networks. We explore the latest technical trends in modelling and analyzing IoT systems with complex networks to provide a better systematic view and more comprehensive understanding of a variety of IoT technologies spanning from sensors and networks to applications and services.
UR - http://www.scopus.com/inward/record.url?scp=85111014984&partnerID=8YFLogxK
U2 - 10.1109/MNET.011.2000537
DO - 10.1109/MNET.011.2000537
M3 - Article
AN - SCOPUS:85111014984
SN - 0890-8044
VL - 35
SP - 238
EP - 245
JO - IEEE Network
JF - IEEE Network
IS - 3
M1 - 9447963
ER -