IEICE TRANSACTIONS on Communications
A Game-Theoretic Approach for Distributed Power Control in Wireless Mesh Networks
Summary :
It has been shown that power control is an efficient approach to achieve the quality of service (QoS) requirement in wireless networks. In this letter, we present a utility function that denotes the QoS and energy efficiency of each wireless terminal. We propose a framework of power control based on the game theory for the QoS of wireless mesh networks (WMNs). In this framework, all players do their best to maximize their own utility. Furthermore, we present a Nash Equilibrium (NE) point of the power control game. We prove that the equilibrium is inefficient, and we propose a distributed power control algorithm that improves the total utility with respect to the NE point. Finally, the proposed framework is evaluated by a numerical experiment, the results of which show the rationality of our system model and the efficiency of our power control algorithm.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E94-B No.3 pp.818-822
- Publication Date
- 2011/03/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E94.B.818
- Type of Manuscript
- LETTER
- Category
- Network
Authors
Keyword
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YanBing LIU, Tao WU, XingPing XIAN, "A Game-Theoretic Approach for Distributed Power Control in Wireless Mesh Networks" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 3, pp. 818-822, March 2011, doi: 10.1587/transcom.E94.B.818.
Abstract: It has been shown that power control is an efficient approach to achieve the quality of service (QoS) requirement in wireless networks. In this letter, we present a utility function that denotes the QoS and energy efficiency of each wireless terminal. We propose a framework of power control based on the game theory for the QoS of wireless mesh networks (WMNs). In this framework, all players do their best to maximize their own utility. Furthermore, we present a Nash Equilibrium (NE) point of the power control game. We prove that the equilibrium is inefficient, and we propose a distributed power control algorithm that improves the total utility with respect to the NE point. Finally, the proposed framework is evaluated by a numerical experiment, the results of which show the rationality of our system model and the efficiency of our power control algorithm.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.818/_p
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@ARTICLE{e94-b_3_818,
author={YanBing LIU, Tao WU, XingPing XIAN, },
journal={IEICE TRANSACTIONS on Communications},
title={A Game-Theoretic Approach for Distributed Power Control in Wireless Mesh Networks},
year={2011},
volume={E94-B},
number={3},
pages={818-822},
abstract={It has been shown that power control is an efficient approach to achieve the quality of service (QoS) requirement in wireless networks. In this letter, we present a utility function that denotes the QoS and energy efficiency of each wireless terminal. We propose a framework of power control based on the game theory for the QoS of wireless mesh networks (WMNs). In this framework, all players do their best to maximize their own utility. Furthermore, we present a Nash Equilibrium (NE) point of the power control game. We prove that the equilibrium is inefficient, and we propose a distributed power control algorithm that improves the total utility with respect to the NE point. Finally, the proposed framework is evaluated by a numerical experiment, the results of which show the rationality of our system model and the efficiency of our power control algorithm.},
keywords={},
doi={10.1587/transcom.E94.B.818},
ISSN={1745-1345},
month={March},}
Copy
TY - JOUR
TI - A Game-Theoretic Approach for Distributed Power Control in Wireless Mesh Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 818
EP - 822
AU - YanBing LIU
AU - Tao WU
AU - XingPing XIAN
PY - 2011
DO - 10.1587/transcom.E94.B.818
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2011
AB - It has been shown that power control is an efficient approach to achieve the quality of service (QoS) requirement in wireless networks. In this letter, we present a utility function that denotes the QoS and energy efficiency of each wireless terminal. We propose a framework of power control based on the game theory for the QoS of wireless mesh networks (WMNs). In this framework, all players do their best to maximize their own utility. Furthermore, we present a Nash Equilibrium (NE) point of the power control game. We prove that the equilibrium is inefficient, and we propose a distributed power control algorithm that improves the total utility with respect to the NE point. Finally, the proposed framework is evaluated by a numerical experiment, the results of which show the rationality of our system model and the efficiency of our power control algorithm.
ER -
English
