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Cooperative game theory framework for energy efficient policies in wireless networks

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e-Energy '12: Proceedings of the 3rd International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet

Article No.: 17, Pages 1 - 9

https://doi.org/10.1145/2208828.2208845

Published: 09 May 2012 Publication History

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Abstract

In this paper we focus the attention on the energy-aware cooperative management of cellular access networks that offer service over the same area. In particular, we propose an approach based on the cooperative game theory to address issues, such as stability of the cooperation, and sharing of the benefits derived from cooperative behaviors.

The proposed framework can be used as a theoretical basis to setting up energy-aware cooperation agreements among network providers.

References

[1]

M. Ajmone Marsan and M. Meo. Energy Efficient Management of two Cellular Access Networks. In ACM SIGMETRICS Performance Evaluation Review, Special Issue on the 2009 GreenMetrics Workshop, volume 37, pages 69--73, 2009.

Digital Library

Google Scholar

[2]

M. Ajmone Marsan and M. Meo. Energy efficient wireless Internet access with cooperative cellular networks. Computer Networks, 55(2):386--398, 2011.

Digital Library

Google Scholar

[3]

T. Hokary. Population Monotonic Solutions On Convex Games. International Journal Of Game Theory, 29(3):355--358, 2000.

Google Scholar

[4]

A. P. Jardosh, K. Papagiannaki, E. M. Belding, K. C. Almeroth, G. Iannaccone, and B. Vinnakota. Green WLANs: On-Demand WLAN Infrastructures. Mob. Netw. Appl., 14, Dec 2009.

Digital Library

Google Scholar

[5]

N. Megiddo. On the nonmonotonicity of the bargaining set, the kernel and the nucleolus of a game. SIAM Journal on Applied Mathematics, 27:355--358, 1974.

Crossref

Google Scholar

[6]

H. Moulin. Axiomatic cost and surplus sharing. In Handbook of Social Choice and Welfare, pages 289--357. North-Holland, 2002.

Crossref

Google Scholar

[7]

R. B. Myerson. Game Theory: Analysis of Conflict. Harvard Univ. Press, Cambridge, MA, 1991.

Google Scholar

[8]

W. Saad, Z. Han, M. Debbah, A. Hjorungnes, and T. Basar. Coalitional Game Theory for Communication Networks. IEEE Signal Processing Magazine, 26(5):77--97, Sept. 2009.

Crossref

Google Scholar

[9]

L. S. Shapley. A Value for n-person Games. In H. W. Kuhn and A. W. Tucker, editors, Contributions to the Theory of Games, volume II, Annals of Mathematical Studies No. 28, pages 307--317. Princeton University Press, 1953.

Google Scholar

[10]

L. S. Shapley. Cores of Convex Games. International Journal of Game Theory, 1(1):11--26, 1971.

Digital Library

Google Scholar

[11]

H. P. Young. Cost Allocation: Methods, Principles, Application. North-Holland, 1985.

Google Scholar

Cited By

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Patanè RAraldo AChahed TKiedanski DKofman D(2023)Coalitional Game-Theoretical Approach to Coinvestment with Application to Edge Computing2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)10.1109/CCNC51644.2023.10060093(517-522)Online publication date: 8-Jan-2023
https://doi.org/10.1109/CCNC51644.2023.10060093
Vergara ENadjm-Tehrani SAsplund M(2016)Fairness and Incentive Considerations in Energy Apportionment PoliciesACM Transactions on Modeling and Performance Evaluation of Computing Systems10.1145/29708162:1(1-29)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1145/2970816
Vergara ENadjm-Tehrani SAsplund MMueller PFoschini LYu RAlonso G(2015)Sharing the Cost of LunchProceedings of the 11th ACM Symposium on QoS and Security for Wireless and Mobile Networks10.1145/2815317.2815338(91-97)Online publication date: 2-Nov-2015
https://dl.acm.org/doi/10.1145/2815317.2815338
Show More Cited By

Index Terms

Cooperative game theory framework for energy efficient policies in wireless networks
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
      1. Modeling methodologies
2. Networks
  1. Network services
    1. Network management

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Published In

e-Energy '12: Proceedings of the 3rd International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet

May 2012

250 pages

ISBN:9781450310550

DOI:10.1145/2208828

General Chairs:
Marco Ajmone Marsan
Politecnico di Torino, Italy, and Institute IMDEA Networks, Spain
,
Suresh Goyal
Alcatel-Lucent Bell Labs
,
Shugong Xu
Huawei Technologies, China
,
Program Chairs:
Antonio Fernández
Anta Institute IMDEA Networks, Spain
,
Milan Prodanovic
Institute IMDEA Energy, Spain
,
Ken Christensen
University of South Florida

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCOMM: ACM Special Interest Group on Data Communication

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 May 2012

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e-Energy'12

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IEEE-CS\DATC

e-Energy'12: 3rd International Conference on Energy-Efficient Computing and Networking

May 9 - 11, 2012

Madrid, Spain

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Overall Acceptance Rate 160 of 446 submissions, 36%

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Cited By

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Patanè RAraldo AChahed TKiedanski DKofman D(2023)Coalitional Game-Theoretical Approach to Coinvestment with Application to Edge Computing2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)10.1109/CCNC51644.2023.10060093(517-522)Online publication date: 8-Jan-2023
https://doi.org/10.1109/CCNC51644.2023.10060093
Vergara ENadjm-Tehrani SAsplund M(2016)Fairness and Incentive Considerations in Energy Apportionment PoliciesACM Transactions on Modeling and Performance Evaluation of Computing Systems10.1145/29708162:1(1-29)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1145/2970816
Vergara ENadjm-Tehrani SAsplund MMueller PFoschini LYu RAlonso G(2015)Sharing the Cost of LunchProceedings of the 11th ACM Symposium on QoS and Security for Wireless and Mobile Networks10.1145/2815317.2815338(91-97)Online publication date: 2-Nov-2015
https://dl.acm.org/doi/10.1145/2815317.2815338
Budzisz LGanji FRizzo GAjmone Marsan MMeo MZhang YKoutitas GTassiulas LLambert SLannoo BPickavet MConte AHaratcherev IWolisz A(2014)Dynamic Resource Provisioning for Energy Efficiency in Wireless Access Networks: A Survey and an OutlookIEEE Communications Surveys & Tutorials10.1109/COMST.2014.232950516:4(2259-2285)Online publication date: Dec-2015
https://doi.org/10.1109/COMST.2014.2329505
Asadi AMancuso VLandfeldt BIgartua MPrakash RLi C(2013)On the compound impact of opportunistic scheduling and D2D communications in cellular networksProceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems10.1145/2507924.2507929(279-288)Online publication date: 3-Nov-2013
https://dl.acm.org/doi/10.1145/2507924.2507929

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