Using Incompletely Cooperative Game Theory in Mobile Ad Hoc Networks
- 1 June 2007
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 15 (15503607), 3401-3406
- https://doi.org/10.1109/icc.2007.563
Abstract
Recently, game theory becomes a useful and powerful tool to research mobile ad hoc networks (MANETs). Wireless LANs (WLANs) can work under both infrastructure and ad hoc modes, and are the most widely used MANETs. In this paper, we propose a novel concept of incompletely cooperative game theory and use it to improve the performance of WLANs. In this game, firstly, each node estimates the current state of the game (i.e., the number of competing nodes) by detecting the channel. Secondly, each node changes its equilibrium strategy by tuning its local contention parameters based on the estimated game state. Finally, the game is repeated finitely to get the optimal performance. Our simulation results show that the incompletely cooperative game can increase system throughput, and decrease delay, jitter and packet-loss-rate.Keywords
This publication has 13 references indexed in Scilit:
- Market sharing games applied to content distribution in ad hoc networksIEEE Journal on Selected Areas in Communications, 2006
- On selfish behavior in CSMA/CA networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Using game theory to analyze wireless ad hoc networksIEEE Communications Surveys & Tutorials, 2005
- A survey of quality of service in IEEE 802.11 networksIEEE Wireless Communications, 2004
- Enhancement of QoS Differentiation Over IEEE 802.11 WLANIEEE Communications Letters, 2004
- Kalman filter estimation of the number of competing terminals in an IEEE 802.11 networkPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- CSMA/CA performance under high traffic conditions: throughput and delay analysisComputer Communications, 2001
- A Capacity Analysis for the IEEE 802.11 MAC ProtocolWireless Networks, 2001
- Performance analysis of the IEEE 802.11 distributed coordination functionIEEE Journal on Selected Areas in Communications, 2000
- Differential QoS and pricing in networks: Where flow control meets game theoryIEE Proceedings - Software, 1999