DocumentCode
130812
Title
Complex network-based growth and evolution model for Internet of Things
Author
Huijuan Zhang ; Miao Zhang
Author_Institution
Sch. of Software Eng., Tongji Univ., Shanghai, China
fYear
2014
fDate
27-29 June 2014
Firstpage
120
Lastpage
123
Abstract
Currently, there are lacks of relational networks consistent with the characteristics of IOT (Internet of Things). According this situation, this paper proposes a GEM model based on the analyses of the popular IoT theories and the corresponding modeling methods as well as the newest applications of the complex network theory. First, we establish an original growth model, then the model is modified and optimized according to some special characteristics of the practical IoT in terms of preferential attachment, communication difficulty and weighted connection. At last, simulation of the model proposed by this article indicates that this model yields the power-law distribution, strength of interactions and shows a good performance of community structure, which conforms to the development law of IoT.
Keywords
Internet of Things; complex networks; network theory (graphs); GEM model; Internet of things; IoT theories; communication difficulty; community structure; complex network theory; complex network-based growth; development law; evolution model; interactions strength; power-law distribution; preferential attachment; weighted connection; Communities; Complex networks; Computational modeling; Internet of Things; Mathematical model; Probability distribution; Complex Network; Internet of Things; Network Modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
Conference_Location
Beijing
ISSN
2327-0586
Print_ISBN
978-1-4799-3278-8
Type
conf
DOI
10.1109/ICSESS.2014.6933526
Filename
6933526
Link To Document