Skip to main content

Advertisement

SpringerLink
Log in

Energy efficiency analysis of differential cooperative algorithm in wireless sensor network

  • Published:
Cluster Computing Aims and scope Submit manuscript

Abstract

Cooperative MIMO techniques deliver the speed and reliability required for future fifth generation mobile networks. However, coherent MIMO techniques demand high channel estimation complexity as well as high pilot overhead. Hence collaboration of cooperative communication and non-coherent schemes will be particularly beneficial in energy constrained wireless sensor networks (WSNs). Aiming at minimizing the energy consumption per bit, we propose an algorithm for differential cooperative communication in WSNs using unitary space time modulation technique. The algorithm computes the optimum transmission distance for the optimum number of cooperating nodes. The simulation results show that the proposed algorithm provides significant energy saving and increased network lifetime compared with the fixed distance cooperative schemes.

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

Similar content being viewed by others

References

  1. Marzetta, T.L., Hochwald, B.M.: Capacity of a mobile multiple-antenna communication link in Rayleigh flat fading. IEEE Trans. Inf. Theory 45, 139–157 (1999)

    Article  MathSciNet  Google Scholar 

  2. Hochwald, B.M., Sweldens, W.: Differential unitary space-time modulation. IEEE Trans. Commun. 48(12), 2041–2052 (2000)

    Article  Google Scholar 

  3. Nguyen, A.V.K.: Performance analysis of differential space time modulation. IEEE Trans. Commun. 58(5), 2620–2632 (2012)

    MATH  Google Scholar 

  4. Zhao, K., Pan, K., Zhang, B.: Cooperative Transmission in Mobile Wireless Sensor Networks with Multiple Carrier Frequency Offsets: A Double-Differential Approach, pp. 1–13. Hindawi Publishing Corporation, Cairo (2014)

    MATH  Google Scholar 

  5. Hanzo, L., El-Hajjar, M., Alamri, O.: Near-capacitywirelesstransceivers and cooperative communications in the MIMO era: evolution of standards, waveform design, and future perspectives. Proc. IEEE 99(8), 1343–1385 (2011)

    Article  Google Scholar 

  6. Hanzo, L., Akhtman, J., Wang, L., Jiang, M.: MIMO-OFDM for LTE, WiFi and WiMax: Coherent Versus Non-coherent and Cooperative Turbo-Transceivers. Wiley/IEEE Press, New York (2010)

    Book  Google Scholar 

  7. Nguyen, D.N., Krunz, M.: A cooperative MIMO framework for wireless sensor networks. ACM Trans. Sens. Netw. 10(3), 1–30 (2014)

    Article  Google Scholar 

  8. Liu, L., Wang, Z., Zhou, M.C.: Cooperative multipath routing and relay based on non-coherent detection in wireless sensor networks. In: IEEE Conference on Automation Science and Engineering, pp. 128–132 (2008)

  9. Lei, A., Schober, R.: Multiple-symbol differential decision fusion for mobile sensor network. IEEE Trans. Wirel. Commun. 9(2), 778–790 (2004)

    Article  Google Scholar 

  10. Cui, S., Goldsmith, A.J., Bahai, A.: Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks. IEEE J. Sel. Areas Commun. 22(6), 1089–1098 (2004)

    Article  Google Scholar 

  11. Chung, J.M., Kim, J., Han, D.: Multihop hybrid virtual MIMO scheme for wireless sensor networks. IEEE Trans. Veh. Technol. 61(9), 4069–4078 (2012)

    Article  Google Scholar 

  12. Zhang, D., Chen, Z.: Energy efficiency of cooperative communication with guaranteed E2E reliability in WSNs. Int. J. Distrib. Sens. Netw. 31(12), 750–761 (2013)

    Google Scholar 

  13. Yetgin, H., Cheung, K.T., El-Hajjar, M., Hanzo, L.: Cross-layer network lifetime optimization considering transmit and signal processing power in wireless sensor networks. IET Wirel. Sens. Syst. 4(4), 176–182 (2014)

    Article  Google Scholar 

  14. Hou, J., Lee, M.H.: QPSK differential space time coding on different unitary matrices sets and initialization. Int. J. Commun. Syst. 19, 993–1007 (2006)

    Article  Google Scholar 

  15. Nguyen, T.D., Berder, O., Sentieys, O.: Cooperative MIMO schemes optimal selection for wireless sensor networks. In: IEEE Vehicular Technology Conference, pp. 85–89 (2007)

  16. Jie, D., Dan, P.L., Hua-ri, W.: Energy efficiency of virtual MIMO transmission schemes for cluster-based wireless sensor networks. J. China Univ. Posts Telecommun. 18(4), 31–38 (2011)

    Article  Google Scholar 

  17. Faouk, F., Rizki, R., Zaki, F.W.: Multi-level stable and energy-efficient clustering protocol in heterogeneous wireless sensor networks. IET Wirel. Sens. Syst. 4(4), 159–169 (2014)

    Article  Google Scholar 

  18. Schurgers, C., Aberthorne, O., Srivastava, M.: Modulation scaling for energy aware communication systems. In: Proc. Int. Symp. Low Power Electronics and Design, pp. 96–99 (2001)

  19. Himsoon, T., Siriwongpairat, W.P., Han, Z., Liu, K.R.: Lifetime maximization via cooperative nodes and relay deployment in wireless networks. IEEE J. Sel. Areas commun. 25(2), 306–317 (2007)

    Article  Google Scholar 

  20. Senthil Kumar, K., Amutha, R.: An algorithm for energy efficient cooperative communication in wireless sensor networks. KSII Trans. Internet Inf. Syst. 10(7), 3080–3099 (2016)

    Google Scholar 

  21. Selvi, M., Velvizhy, P., Ganapathy, S., et al.: A rule based delay constrained energy efficient routing technique for wireless sensor networks. Clust. Comput. https://doi.org/10.1007/s10586-017-1191-y (2017)

  22. Zhang, J., Fei, F., Gao, Q., Xiao-Hong, P.: Energy-efficient multihopcooperative MISO transmission with optimal hop distance in wireless ad hoc networks. IEEE Trans. Wirel. Commun. 10(10), 3426–3435 (2011)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. ECE Department, Sri Sai Ram Engineering College, West Tambaram, Chennai, Tamil Nadu, 600 044, India

    M. Kanthimathi

  2. Department of ECE, SSN College of Engineering, Kalavakkam, Chennai, Tamil Nadu, 603 110, India

    R. Amutha

  3. Department of ECE, Rajalakshmi Engineering College, Thandalam, Chennai, Tamil Nadu, 602 105, India

    K. Senthil Kumar

Authors
  1. M. Kanthimathi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. R. Amutha
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. K. Senthil Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to M. Kanthimathi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kanthimathi, M., Amutha, R. & Kumar, K.S. Energy efficiency analysis of differential cooperative algorithm in wireless sensor network. Cluster Comput 22 (Suppl 4), 9837–9845 (2019). https://doi.org/10.1007/s10586-017-1688-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10586-017-1688-4

Keywords

Search

Navigation