Cooperative strategies of wireless access technologies

A game-theoretic analysis

Laszlo Gyarmati, Tuan Anh Trinh

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

The wireless Internet has to overcome the problem of spectrum scarcity as the number of mobile equipments could increase even by an order of magnitude in the next decade; the cooperation of mobile devices is foreseeable as a feasible solution to the problems. There exists a large body of literature on opportunistic ad hoc networking including Pelusi et al. (2006) [25], Chen et al. (2006) [26], Hui et al. (2005) [27]; however, the impact of the location of the devices on their access method selection is not yet appropriately dealt with. In this paper, we address this issue based on game-theoretic analyses. The key contribution of our work is threefold. First, we model the access method selection of mobile devices by extending the classical forwarding game with position, mobility, and availability of the devices. Second, we apply the model in game-theoretic analyses to better understand the optimal cooperation strategies in the presence of heterogeneous wireless technologies. We further extend our framework to include uncertainty. Finally, we present the applicability of the model in a cognitive radio scenario where complex structures of parameters are included.

Original languageEnglish
Pages (from-to)545-568
Number of pages24
JournalPervasive and Mobile Computing
Volume7
Issue number5
DOIs
Publication statusPublished - 1 Oct 2011
Externally publishedYes

Fingerprint

Game
Mobile devices
Mobile Devices
Cognitive Radio
Threefolds
Cognitive radio
Complex Structure
Networking
Availability
Model
Internet
Uncertainty
Scenarios
Strategy
Framework

Keywords

  • Cooperative forwarding
  • Future wireless Internet
  • Game-theoretic analysis
  • Opportunistic networking

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Applied Mathematics

Cite this

Cooperative strategies of wireless access technologies : A game-theoretic analysis. / Gyarmati, Laszlo; Trinh, Tuan Anh.

In: Pervasive and Mobile Computing, Vol. 7, No. 5, 01.10.2011, p. 545-568.

Research output: Contribution to journalArticle

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