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A cooperative differential game model based on network throughput and energy efficiency in wireless networks

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Abstract

Network throughout and energy efficiency are of paramount importance for network performance in an energy-constrained wireless network. However, it is difficult to achieve optimal network throughout and energy efficiency simultaneously. So it is very necessary to find a solution based on tradeoff between network throughput and energy efficiency, which have not yet been well studied in existing works. In this paper, we present a cooperative differential game model and find a time-consistency solution by Shapley value which determines a fair distribution of the total cooperative cost among players.

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References

  1. Mauricio, G., Resende, C., Panos, M.: Handbook of Optimization in Telecommunications. Spinger, New York, http://www.springer.com/mathematics/book/978-0-387-30662-9 (2006)

  2. Yinying Y., Mihaela C.: Adaptive energy efficient sensor scheduling for wireless sensor networks. Optim. Lett. 4(3), 359–369 (2001)

    Google Scholar 

  3. Manki M., Panos M.: Pardalos, total energy optimal multicasting in wireless ad hoc networks. J. Combin. Optim. 13(4), 365–378 (2007)

    Article  MATH  Google Scholar 

  4. Kar, K., Sarkar, S., Tassiulas, L.: A simple rate control algorithm for maximizing total user utility. In: Proceedings of IEEE INFOCOM (2001)

  5. Kelly F.: Charging and rate control for elastic traffic. Eur. Trans. Telecommun. 8, 33–37 (1997)

    Article  Google Scholar 

  6. Kelly F., Maulloo A., Tan D.: Rate control for communication networks: shadow prices, proportional fairness and stability. J. Oper. Res. Soc. 49(3), 237–252 (1998)

    MATH  Google Scholar 

  7. La R., Anantharam V.: Utility-based rate control in the internet for elastic traffic. IEEE/ACM Trans. Netw. 10(2), 272–286 (2002)

    Article  Google Scholar 

  8. Qiu, Y., Marbach, P.: Bandwidth allocation in ad hoc networks: a price-based approach. In: Proceedings of IEEE INFOCOM (2003)

  9. Kao Y.F., Huang J.H.: Price-based resource allocation for wireless ad hoc networks with nulti-rate capability and energy constraint. Comput. Commun. 31, 3613–3624 (2008)

    Article  Google Scholar 

  10. Xue Y., Li B., Nahrstedt K.: Optimal resource allocation in wireless ad hoc networks: a price-based approach. IEEE Trans. Mobile Comput. 5(4), 347–364 (2006)

    Article  Google Scholar 

  11. Mackenzie, A., Wicker, S.: Game theory and the design of self-configuring, adaptive wireless networks. In: IEEE Communications Magazine (2001)

  12. Iranli, A., Fatemi, H., Pedram, M.: A game theoretic approach to dynamic energy minimization in wireless transceivers. In: International Conference on Computer Aided Design Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design November (2003)

  13. Youngmi J., Kesidis G.: Charge sensitive and incentive compatible end-to-end window-based control for selfish users[J]. IEEE J. Select. Area Commun. 24(5), 952–961 (2006)

    Article  Google Scholar 

  14. Clark, J.M.C., Vinter, R.B.: A differential dynamic games approach to flow control[C]. In: Proceedings of the 42nd IEEE Conference on Decision and Control, pp. 1228–1231. Maui, December 2003

  15. Zhang, H.-g., Towsley, D., Gong, W.: TCP connection game a study on the selfish behavior of TCP users. In: Proceedings of the 13th IEEE International Conference on Network Protocols, pp. 301–310. Boston, 6–9 November 2005

  16. Petrosyan L., Zaccour G.: Time-consistent shapley value allocation of pollution cost reduction. J. Econ. Dyn. Control 27, 381–398 (2003)

    Article  MathSciNet  Google Scholar 

  17. Singh, S., Woo, M., Raghavendra, C.S.: Power-aware routing in mobile ad hoc networks. In: Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking, pp. 181–190 (1998)

  18. David, W., Yeung, K., Leon, A.: Petrosyan, Cooperative Stochastic Differential Games (2006)

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Authors and Affiliations

  1. Department of Communication Engineering, School of Information Engineering, University of Science and Technology Beijing, Beijing, People’s Republic of China

    Xu-Na Miao, Xian-Wei Zhou & Hua-Yi Wu

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  1. Xu-Na Miao
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  2. Xian-Wei Zhou
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  3. Hua-Yi Wu
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Correspondence to Xu-Na Miao.

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Miao, XN., Zhou, XW. & Wu, HY. A cooperative differential game model based on network throughput and energy efficiency in wireless networks. Optim Lett 6, 55–68 (2012). https://doi.org/10.1007/s11590-010-0251-5

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  • DOI: https://doi.org/10.1007/s11590-010-0251-5

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