A non-cooperative game approach for power-aware MAC in ad hoc wireless networks

In this paper, the problem of designing a power-aware medium access control (MAC) algorithm for Ad hoc wireless networks is considered. Based on the insights obtained from analyzing the problem in optimization framework, we formulate it as a random scheduling MAC in the game theory framework. Defining a payoff for each link as a function of its persistence probability and power, the objective of the proposed non-cooperative static power-aware MAC game (PAMG) is to find the appropriate strategy for the link in its 2D strategy space. The game theoretic aspects of PAMG including existence, uniqueness, and convergence to the Nash equilibrium are investigated analytically under some mild conditions. Based on PAMG, a message passing totally asynchronous distributed power-aware MAC (PAM) algorithm is presented. In the proposed algorithm, at each active time slot the link broadcasts a message simultaneous to its transmission. At each inactive time slot it listens to the channel to capture the other active links messages and updates its cost factor. Simulation results are provided to evaluate the convergence and performance of the algorithm and are compared to the optimal solution.

[1]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[2]  Chin-Tau Lee,et al.  Random Signal Levels for Channel Access in Packet Broadcast Networks , 1987, IEEE J. Sel. Areas Commun..

[3]  Stephen B. Wicker,et al.  Selfish users in Aloha: a game-theoretic approach , 2001, IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211).

[4]  H. Vincent Poor,et al.  A game-theoretic approach to energy-efficient power control in multicarrier CDMA systems , 2006, IEEE Journal on Selected Areas in Communications.

[5]  A. Girotra,et al.  Performance Analysis of the IEEE 802 . 11 Distributed Coordination Function , 2005 .

[6]  Karim Faez,et al.  A nash power-aware MAC game for ad hoc wireless networks , 2008, 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications.

[7]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[8]  Michael L. Honig,et al.  Distributed interference compensation for wireless networks , 2006, IEEE Journal on Selected Areas in Communications.

[9]  Gerard J. Foschini,et al.  A simple distributed autonomous power control algorithm and its convergence , 1993 .

[10]  John N. Tsitsiklis,et al.  Parallel and distributed computation , 1989 .

[11]  Drew Fudenberg,et al.  Game theory (3. pr.) , 1991 .

[12]  Mohammad Hayajneh,et al.  Distributed joint rate and power control game-theoretic algorithms for wireless data , 2004, IEEE Communications Letters.

[13]  David J. Goodman,et al.  Power control for wireless data , 1999, 1999 IEEE International Workshop on Mobile Multimedia Communications (MoMuC'99) (Cat. No.99EX384).

[14]  Lin Chen,et al.  A Game Theoretic Framework of Distributed Power and Rate Control in IEEE 802.11 WLANs , 2008, 2007 IEEE International Conference on Network Protocols.

[15]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[16]  Stephen B. Wicker,et al.  Stability of multipacket slotted Aloha with selfish users and perfect information , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[17]  V. Georgiev Using Game Theory to Analyze Wireless Ad Hoc Networks . ” , 2008 .

[18]  Marco Conti,et al.  IEEE 802.11 protocol: design and performance evaluation of an adaptive backoff mechanism , 2000, IEEE Journal on Selected Areas in Communications.

[19]  Roy D. Yates,et al.  A Framework for Uplink Power Control in Cellular Radio Systems , 1995, IEEE J. Sel. Areas Commun..

[20]  Andrea J. Goldsmith,et al.  Design challenges for energy-constrained ad hoc wireless networks , 2002, IEEE Wirel. Commun..

[21]  Michele Zorzi,et al.  On the randomization of transmitter power levels to increase throughput in multiple access radio systems , 1998, Wirel. Networks.

[22]  Gregory J. Pottie,et al.  Channel access algorithms with active link protection for wireless communication networks with power control , 2000, TNET.

[23]  Tamer A. ElBatt,et al.  Joint scheduling and power control for wireless ad hoc networks , 2002, IEEE Transactions on Wireless Communications.

[24]  Cem U. Saraydar,et al.  Efficient power control via pricing in wireless data networks , 2002, IEEE Trans. Commun..

[25]  Wei Luo,et al.  Power levels and packet lengths in random multiple access , 2002, IEEE Trans. Inf. Theory.

[26]  Zoran Gajic,et al.  A nash game algorithm for SIR-based power control in 3G wireless CDMA networks , 2005, IEEE/ACM Transactions on Networking.

[27]  Karim Faez,et al.  Jointly rate and power control in contention based MultiHop Wireless Networks , 2007, Comput. Commun..

[28]  J. H. Sarker Stable and unstable operating regions of slotted ALOHA with number of retransmission attempts and number of power levels , 2006 .

[29]  B. Datta Numerical Linear Algebra and Applications , 1995 .

[30]  Frank Kelly,et al.  Charging and rate control for elastic traffic , 1997, Eur. Trans. Telecommun..

[31]  Leonidas J. Guibas,et al.  Interference-Aware MAC Protocol for Wireless Networks by a Game-Theoretic Approach , 2009, IEEE INFOCOM 2009.