TY - GEN
T1 - Joint power and rate control in ad hoc networks using a supermodular game approach
AU - Lu, Shan
AU - Sun, Yi
AU - Ge, Yuming
AU - Dutkiewicz, Eryk
AU - Zhou, Jihua
N1 - Copyright 2010 IEEE. Reprinted from IEEE Wireless Communications and Networking Conference : proceedings : WCNC 2010. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
PY - 2010
Y1 - 2010
N2 - In ad hoc networks, reducing energy consumption and improving throughput are both important for high network performance. This paper presents a joint power and rate control adaptive algorithm to optimize the trade-off between power consumption and throughput in ad hoc networks. Each node chooses its own transmission power and rate based on limited environment information in order to achieve optimal transmission efficiency. In a fictitious game framework with strategy space transformation, our joint power and rate control adaptive algorithm can be viewed as a supermodular game. By interpreting the supermodular game using myopic best response updates, this algorithm can converge to the unique optimal transmission efficiency. Finally, the simulation results show that this supermodular game approach improves the average transmission efficiency by about 33%.
AB - In ad hoc networks, reducing energy consumption and improving throughput are both important for high network performance. This paper presents a joint power and rate control adaptive algorithm to optimize the trade-off between power consumption and throughput in ad hoc networks. Each node chooses its own transmission power and rate based on limited environment information in order to achieve optimal transmission efficiency. In a fictitious game framework with strategy space transformation, our joint power and rate control adaptive algorithm can be viewed as a supermodular game. By interpreting the supermodular game using myopic best response updates, this algorithm can converge to the unique optimal transmission efficiency. Finally, the simulation results show that this supermodular game approach improves the average transmission efficiency by about 33%.
UR - http://www.scopus.com/inward/record.url?scp=77955038489&partnerID=8YFLogxK
U2 - 10.1109/WCNC.2010.5506345
DO - 10.1109/WCNC.2010.5506345
M3 - Conference proceeding contribution
AN - SCOPUS:77955038489
SN - 9781424463985
SP - 1
EP - 6
BT - 2010 IEEE Wireless Communications and Networking Conference, WCNC 2010
PB - Institute of Electrical and Electronics Engineers (IEEE)
CY - Piscataway, NJ
T2 - IEEE Wireless Communications and Networking Conference 2010, WCNC 2010
Y2 - 18 April 2010 through 21 April 2010
ER -