DocumentCode :
1978501
Title :
Optimal Content Transmission Policy in Publish-Subscribe Mobile Social Networks
Author :
Niyato, Dusit ; Wang, Ping ; Hossain, Ekram ; Li, Yifan
Author_Institution :
Centre for Multimedia & Network Technol. (CeMNet), Nanyang Technol. Univ. (NTU), Singapore, Singapore
fYear :
2010
fDate :
6-10 Dec. 2010
Firstpage :
1
Lastpage :
5
Abstract :
We consider the problem of dynamic content distribution in publish-subscribe mobile social networks. Mobile users subscribe to the content provider. Then, when new content is created, the provider transmits it to subscribers (i.e., mobile users) through the base station. The mobile users who have the social relationship (i.e., mobile users in the same community) can transfer the fresh content when they move and meet each other. From the content provider´s perspective, the content transmission policy by the base station can be optimized so that the number of mobile users having the fresh data is maximized subject to the constraint on the maximum waiting time of the new content. An optimization formulation is presented for the content provider to obtain this optimal content transmission policy. Performance evaluation results show that with the optimal content transmission policy, the average number of mobile users having fresh content is larger than that if the new content is transmitted immediately.
Keywords :
message passing; middleware; mobile computing; social networking (online); base station; dynamic content distribution; optimal content transmission policy; optimization formulation; publish-subscribe mobile social network; social relationship; Base stations; Communities; Markov processes; Mobile communication; Mobile computing; Peer to peer computing; Social network services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE
Conference_Location :
Miami, FL
ISSN :
1930-529X
Print_ISBN :
978-1-4244-5636-9
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2010.5683085
Filename :
5683085
Link To Document :
بازگشت