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 :
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