Joint power and rate control in ad hoc networks using a supermodular game approach

Shan Lu; Yi Sun; Yuming Ge; Eryk Dutkiewicz; Jihua Zhou

doi:10.1109/WCNC.2010.5506345

Joint power and rate control in ad hoc networks using a supermodular game approach

Shan Lu^*, Yi Sun, Yuming Ge, Eryk Dutkiewicz, Jihua Zhou

^*Corresponding author for this work

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

6 Citations (Scopus)

16 Downloads (Pure)

Abstract

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%.

Original language	English
Title of host publication	2010 IEEE Wireless Communications and Networking Conference, WCNC 2010
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-6
Number of pages	6
ISBN (Print)	9781424463985
DOIs	https://doi.org/10.1109/WCNC.2010.5506345
Publication status	Published - 2010
Event	IEEE Wireless Communications and Networking Conference 2010, WCNC 2010 - Sydney, NSW, Australia Duration: 18 Apr 2010 → 21 Apr 2010

Other

Other	IEEE Wireless Communications and Networking Conference 2010, WCNC 2010
Country/Territory	Australia
City	Sydney, NSW
Period	18/04/10 → 21/04/10

Bibliographical note

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 Universityâ€™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.

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title = "Joint power and rate control in ad hoc networks using a supermodular game approach",

abstract = "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\%.",

author = "Shan Lu and Yi Sun and Yuming Ge and Eryk Dutkiewicz and Jihua Zhou",

note = "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{\^a}€{\texttrademark}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.; IEEE Wireless Communications and Networking Conference 2010, WCNC 2010 ; Conference date: 18-04-2010 Through 21-04-2010",

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doi = "10.1109/WCNC.2010.5506345",

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Lu, S, Sun, Y, Ge, Y, Dutkiewicz, E & Zhou, J 2010, Joint power and rate control in ad hoc networks using a supermodular game approach. in 2010 IEEE Wireless Communications and Networking Conference, WCNC 2010., 5506345, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1-6, IEEE Wireless Communications and Networking Conference 2010, WCNC 2010, Sydney, NSW, Australia, 18/04/10. https://doi.org/10.1109/WCNC.2010.5506345

Joint power and rate control in ad hoc networks using a supermodular game approach. / Lu, Shan; Sun, Yi; Ge, Yuming et al.
2010 IEEE Wireless Communications and Networking Conference, WCNC 2010. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2010. p. 1-6 5506345.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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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 Universityâ€™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%.

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T2 - IEEE Wireless Communications and Networking Conference 2010, WCNC 2010

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ER -

Joint power and rate control in ad hoc networks using a supermodular game approach

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