DocumentCode :
3192016
Title :
Nodes Social Relations Cognition for Mobility-Aware in the Internet of Things
Author :
An Jian ; Gui Xiaolin ; Zhang Wendong ; Jian, An
Author_Institution :
Dept. of Comput. Sci. & Technol., Xi´´an Jiaotong Univ., Xi´´an, China
fYear :
2011
fDate :
19-22 Oct. 2011
Firstpage :
687
Lastpage :
691
Abstract :
In mobility-aware of Internet of Things (IOT), according to the problem of data-aware and data-transmit which casued by nodes mobility and random. We propose the nodes social relations cognition algorithm which based on social network. Firstly, we would quantize the social relation of all nodes by introducing interconnection factor and distance factor. Then, build cohesive subgroups and node-mobile probability tree to predict the trace of mobile nodes. Finally, we determine awareness service nodes in the objective regions, through trust-transference and probability calculation. Simulation experiment demonstrate that this method helps to resolve the problem of awareness hole in sparse networks, improving the way of date acquistion and increasing the quality of awareness service in IOT.
Keywords :
group theory; probability; quality of service; social networking (online); trees (mathematics); Internet of Things; IoT mobility awareness; awareness service node; cohesive subgroup; data acquisition; data awareness; data transmit; distance factor; interconnection factor; node mobility; node random; node social relation cognition; node-mobile probability tree; probability; quality of awareness service; social network; sparse network; trust-transference; Algorithm design and analysis; Clustering algorithms; Internet; Mobile communication; Mobile computing; Mobile handsets; Social network services; Internet of Things; awareness service nodes discovery algorithm; cohesive subgroups; mobile probability tree; social relation quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet of Things (iThings/CPSCom), 2011 International Conference on and 4th International Conference on Cyber, Physical and Social Computing
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-1976-9
Type :
conf
DOI :
10.1109/iThings/CPSCom.2011.118
Filename :
6142174
Link To Document :
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