Skip to main content

Advertisement

SpringerLink
Log in

Towards Energy-Efficiency in Selfish, Cooperative Networks

  • Published:
Mobile Networks and Applications Aims and scope Submit manuscript

Abstract

Cooperative communication has been proven effective in enhancing the performance of wireless networks, anda variety of techniques have been investigated to exploit the spatial diversity gain to provide reliable physical layer communications with multiple quality-of-service (QoS) requirements. In this paper, we propose an adaptive multi-relay selection with power allocation mechanism to offer energy fairness at each node for a cooperative network. Unlike traditional approaches where all nodes are considered to transmit in a collaborative manner, weexplicitly consider the situation where nodes exhibit some degree of selfish behavior. Specifically, we introduce anovel concept of the selfishness index and incorporate it into a utility function which denotes the degree a node can benefit from cooperative transmission. Theoretical analysis and extensive simulation results are supplemented toshow advantages in maximizing the network lifetime and guaranteeing the QoS in realistic wireless environments. We also consider the practical situation when nodes consume energy in mode switching, and carefully study the behavior of inter-cluster relay switching and the trade-off among network lifetime, switching cost and switching frequency.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

Notes

  1. The path loss exponent \(\alpha \) is experimentally determined, and is typically in the range of 2 to 5 depending on propagation environment. For example, \(\alpha =2.0\) is for free space, \(2.5\sim 3.0\) for rural areas, \(3.0\sim 4.0\) for urban areas, and \(4.0\sim 5.0\) for dense urban areas.

References

  1. Bletsas A, Khisti A, Reed DP, Lippman A (2006) A simple cooperative diversity method based on network path selection. IEEE JSAC 24(3):659–672

    Google Scholar 

  2. Bletsas A, Lippnian A, Reed DP (2005) A simple distributed method for relay selection in cooperative diversity wireless networks, based on reciprocity and channel measurements. In: IEEE VTC-Spring’05, vol 3, pp 1484–1488

  3. Chen D, Ji H, Li X, Zhao K (2010) A novel multi-relay selection and power allocation optimization scheme in cooperative networks. In: IEEE WCNC’10, pp 1–6

  4. Chen Y, Yu G, Qiu P, Zhang Z (2006) Power-aware cooperative relay selection strategies in wireless ad hoc networks. In: IEEE PIMRC’06, pp 1–5

  5. Cho S, Choi W, Huang K (2011) Qos provisioning relay selection in random relay networks. IEEE Trans Veh Tech 60(6):2680–2689

    Article  Google Scholar 

  6. Cover T, Gamal AE (1979) Capacity theorems for the relay channel. IEEE Trans Inf Theory 25(5):572–584

    Article  MATH  Google Scholar 

  7. Ding Z, Leung KK, Goeckel DL, Towsley D (2010) Cooperative transmission protocols for wireless broadcast channels. IEEE Trans Wirel Commun 9(12):3701–3713

    Article  Google Scholar 

  8. Gesbert D, Shafi M, Shiu D, Smith PJ, Naguib A (2003) From theory to practice: an overview of mimo space-time coded wireless systems. IEEE JSAC 21(3):281–302

    Google Scholar 

  9. Halabian H, Changiz R, Yu FR, Lambadaris I, Tang H (2012) Optimal reliable relay selection in multiuser cooperative relaying networks. ACM/Springer WINET 18(6):591–603

    Article  Google Scholar 

  10. Hou Y, Leung KK (2009) A distributed scheduling framework for multi-user diversity gain and quality of service in wireless mesh networks. IEEE Trans Wirel Commun 8(12):5904–5915

    Article  Google Scholar 

  11. Hunter TE, Nosratinia A (2006) Diversity through coded cooperation. IEEE Trans Wirel Commun 5(2):283–289

    Article  MathSciNet  Google Scholar 

  12. Ikhlef A, Michalopoulos DS, Schober R (2012) Max-max relay selection for relays with buffers. IEEE Trans Wirel Commun 11(3):1124–1135

    Article  Google Scholar 

  13. Laneman JN (2003) Limiting analysis of outage probabilities for diversity schemes in fading channels. In: IEEE GLOBECOM’03

  14. Laneman JN, Tse DN, Wornell GW (2004) Cooperative diversity in wireless networks: efficient protocols and outage behavior. IEEE Trans Inf Theory 50(12):3062–3080

    Article  MathSciNet  Google Scholar 

  15. Laneman JN, Wornell GW (2003) Distributed space-time-coded protocols for exploiting cooperative diversity in wireless networks. IEEE Trans Inf Theory 49:2415–2425

    Article  MathSciNet  Google Scholar 

  16. Laneman JN, Wornell GW, Tse DNC (2001) An efficient protocol for realizing cooperative diversity in wireless networks. In: IEEE ISIT’01

  17. Li X, Zhang Y, Amin MG (2011) Joint optimization of source power allocation and relay beamforming in multiuser cooperative wireless networks. ACM/Springer MONET 16(5):562–575

    Google Scholar 

  18. Li Y, Wang P, Niyato D, Zhuang W (2011) A dynamic relay selection scheme for mobile users in wireless relay networks. In: IEEE INFOCOM 2011, pp 256–260

  19. Liu E, Zhang Q, Leung KK (2010) Connectivity in selfish, cooperative networks. IEEE Commun Lett 14(10):936–938

    Article  Google Scholar 

  20. Liu E, Zhang Q, Leung KK (2010) Residual energy-aware cooperative transmission (react) in wireless networks. In: IEEE WOCC’10, pp 1–6

  21. Meulen ECVD (1971) Three terminal communication channels. Adv Appl Probab 3:120–154

    Article  MATH  Google Scholar 

  22. Nosratinia A, Hunter TE, Hedayat A (2004) Cooperative communication in wireless networks. IEEE Commun Mag 42(10):74–80

    Article  Google Scholar 

  23. Pandana C, Siriwongpairat WP, Himsoon T, Liu KJR (2006) Distributed cooperative routing algorithm for maximizing network lifetime In: IEEE WCNC’06

  24. Sadek AK, Han Z, Liu KJR (2006) A distributed relay-assignment algorithm for cooperative communications in wireless networks. In: IEEE ICC’06, vol 4, pp 1592–1597

  25. Sheng Z, Ko B, Leung KK (2012) Power efficient decode-and-forward cooperative relaying. IEEE Wirel Commun Lett PP(99):1–4

    Google Scholar 

  26. Sheng Z, Leung KK, Ding Z (2011) Cooperative wireless networks: from radio to network protocol designs. IEEE Commun Mag 49(5):64–69

    Article  Google Scholar 

  27. Shi Y, Sharma S, Hou YT, Kompella S (2008) Optimal relay assignment for cooperative communications. In: ACM MobiHoc’08, pp 3–12

  28. Shor NZ (1985) Minimization Methods for non-differentiable functions and applications (Springer series in computational mathematics). Springer, New York

    Book  Google Scholar 

  29. Sklar B (1997) Rayleigh fading channels in mobile digital communication systems. i. characterization. IEEE Commun Mag 35(7):90–100

    Article  Google Scholar 

  30. Vardhe K, Reynolds D, Woerner BD (2010) Joint power allocation and relay selection for multiuser cooperative communication. IEEE Trans Wirel Comm 9(4):1255–1260

    Article  Google Scholar 

  31. Wang T, Zhang R, Song L, Han Z, Li H, Jiao B (2012) Power allocation for two-way relay system based on sequential second price auction. Wirel Pers Commun (Springer) 67(1):1–16

    Article  Google Scholar 

  32. Wei Y, Yu FR, Song M (2010) Distributed optimal relay selection in wireless cooperative networks with finite-state markov channels. IEEE Trans Veh Technol 59(5):2149–2158

    Article  Google Scholar 

  33. Zhao Y, Adve R, Lim TJ (2007) Improving amplify-and-forward relay networks: optimal power allocation versus selection. IEEE Trans Wirel Commun 6(8):3114–3123

    Google Scholar 

  34. Zheng G, Zhang Y, Ji C, Wong K (2011) A stochastic optimization approach for joint relay assignment and power allocation in orthogonal amplify-and-forward cooperative wireless networks. IEEE Trans Wirel Commun 10(12):4091–4099

    Article  Google Scholar 

  35. Zheng L, Tse DNC (2003) Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels. IEEE Trans Inf Theory 49(5):1073–1096

    Article  MATH  Google Scholar 

  36. Zhuang W, Ismail M (2012) Cooperation in wireless communication networks. IEEE Wireless Comm Mag 19(2):10–20

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. IBM Research, Beijing, China

    Chi Harold Liu

  2. Beijing Institute of Technology, Beijing, China

    Jun Fan & Xiumei Fan

  3. France Telecom Orange Labs, Beijing, China

    Zhengguo Sheng

  4. Imperial College, London, UK

    Kin K. Leung

Authors
  1. Chi Harold Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jun Fan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zhengguo Sheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Xiumei Fan
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Kin K. Leung
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Chi Harold Liu.

Additional information

This work was funded by Key Science and Technologies Program of Shanxi Province, China (No. 20120321024-04). It was also partly supported by Natural Science Foundation of China (No. 61272509), the Projects of Major International (Regional) Joint Research Program NSFC (No. 61120106010), and Beijing Natural Science Foundation (No. 4132049).

Rights and permissions

Reprints and permissions

About this article

Cite this article

Liu, C.H., Fan, J., Sheng, Z. et al. Towards Energy-Efficiency in Selfish, Cooperative Networks. Mobile Netw Appl 18, 535–552 (2013). https://doi.org/10.1007/s11036-012-0431-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11036-012-0431-x

Keywords

Search

Navigation