Controlled coalitional games for cooperative mobile social networks

Dusit Niyato, Ping Wang, Walid Saad, Are Hjørungnes

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

Mobile social networks have been introduced as a new efficient (i.e., minimizing bandwidth usage) and effective (i.e., minimizing the delay or maximizing the number of target recipients) way of disseminating content and information to a particular group of mobile users who share similar interests. In this paper, we investigate how the content providers and the network operator can interact to distribute content in a mobile social network. The objective of each content provider is to minimize the cost that pertains to the time used to distribute the content to the subscribed mobile users and the cost due to the price paid to the network operator for transferring the content over a wireless connection through a base station. Although the content providers can cooperate by forming coalitions for sharing a wireless connection, the network operator can control the amount of bandwidth provided over the wireless connection. We introduce a novel coalitional game model, which is referred to as the controlled coalitional game, to investigate the decision-making process of the content providers and the network operator. Numerical studies show that, given the allocated bandwidth from the network operator, the content providers can self organize into coalitions while minimizing their individual cost. In addition, the results demonstrate that the revenue of the network operator can be maximized when the bandwidth allocation is performed while considering the coalitional structure of the content providers.

Original languageEnglish (US)
Article number5715895
Pages (from-to)1812-1824
Number of pages13
JournalIEEE Transactions on Vehicular Technology
Volume60
Issue number4
DOIs
StatePublished - May 2011

Keywords

  • Coalitional game
  • content provider
  • game theory
  • mobile social network

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Aerospace Engineering
  • Automotive Engineering
  • Computer Networks and Communications
  • Applied Mathematics

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