DocumentCode
170544
Title
A Sociology-based interaction relationship model in IoT
Author
Huijuan Zhang ; Yuji Shen
Author_Institution
Sch. of Software Enginnering, Tongji Univ., Shanghai, China
fYear
2014
fDate
16-18 May 2014
Firstpage
514
Lastpage
518
Abstract
Objects having social properties is a well explored field in Sociology and the idea has been introduced into the field of Internet of Things (IoT) recently. In this paper, the authors analyze some social features of IoT and propose a Sociology-based interaction relationship model between IoT objects. The relationship model, together with the automatic relationship recognition, can enhance the dynamics and the autonomy of communications in IoT. In the latter part of the paper, the authors give an experiment based on real data as a simple example to show how the paper´s idea reduces the dependency of IoT on human intervention and makes IoT objects more `smart´.
Keywords
Internet; Internet of Things; social sciences computing; Internet of Things; IoT; automatic relationship recognition; social properties; sociology-based interaction relationship model; Analytical models; Context; Data mining; IEEE 802.11 Standards; Internet of Things; Social network services; Reality Mining; Relationship Recognition; Social Internet of Things; Wisdom Web of Things;
fLanguage
English
Publisher
ieee
Conference_Titel
Progress in Informatics and Computing (PIC), 2014 International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4799-2033-4
Type
conf
DOI
10.1109/PIC.2014.6972388
Filename
6972388
Link To Document