Skip to main content
SpringerLink
Log in

Energy Efficient Node Deployment Optimization for CTS Based on Cooperative Beamforming in Single-Hop Wireless Sensor Networks

  • Published:
Automatic Control and Computer Sciences Aims and scope Submit manuscript

Abstract

Node deployment has an influence on energy dissipation of cooperative transmission scheme (CTS) in wireless sensor networks. In order to reduce the energy dissipation in single-hop wireless sensor networks, the problem of node deployment for cooperative beamforming (CBF) based CTS is studied in this paper. First, the energy dissipation for CTS based on CBF is studied, then the node’s position and the modulation size is optimized through two-step optimization to minimize energy dissipation. Numerical results show that the optimized node deployment and CBF scheme can greatly reduce the energy dissipation.

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.

Similar content being viewed by others

REFERENCES

  1. Feng, D., Jiang, C., Lim, G., Cimini, L.J., Feng, G., and Li, G.Y., A survey of energy-efficient wireless communications, IEEE Commun. Surv. Tutor., 2013, vol. 15, no. 1, pp. 1089–1098.

    Google Scholar 

  2. Jayaweera, S.K. and Poor, H.V., Capacity of multiple-antenna systems with both receiver and transmitter channel state information, IEEE Trans. Inf. Theory, 2003, vol. 49, no. 10, pp. 2697–2709.

    Article  MathSciNet  Google Scholar 

  3. Krunz, M., Siam, M.Z., and Nguyen, D.N., Clustering and power management for virtual MIMO communications in wireless sensor networks, Ad Hoc Networks, 2013, vol. 11, no. 5, pp. 1571–1587.

    Article  Google Scholar 

  4. Cui, S., Goldsmith, A.J., and Bahai, A., Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks, IEEE J. Sel. Areas Commun., 2004, vol. 22, no. 6, pp. 1089–1098.

    Article  Google Scholar 

  5. Gao, Q., Zuo, Y., Zhang, J., and Peng, X.H., Improving energy efficiency in a wireless sensor network by combining cooperative MIMO with data aggregation, IEEE Trans. Veh. Technol., 2010, vol. 59, no. 8, pp. 3956–3965.

    Article  Google Scholar 

  6. Chung, J.M., Kim, J., and Han, D., Multihop hybrid virtual MIMO scheme for wireless sensor networks, IEEE Trans. Veh. Technol., 2012, vol. 61, no. 9, pp. 4069–4078.

    Article  Google Scholar 

  7. Yao, L.P., Xi, L., Hong, J., and Xu, Q.S., Systematic energy-balanced cooperative transmission scheme in wireless sensor networks, J. China Univ. Posts Telecommun., 2012, vol. 19, no. 6, pp. 14–18.

    Article  Google Scholar 

  8. Li, J., Jiang, X., and Lu, I.T., Energy balance routing algorithm based on virtual MIMO scheme for wireless sensor networks, J. Sensors, 2014.

  9. Xu, H., Huang, L., Qiao, C., Wang, X., and Sun, Y.E., Topology control with vMIMO communication in wireless sensor networks, IEEE Trans. Wireless Commun., 2013, vol. 12, no. 12, pp. 6328–6339.

    Article  Google Scholar 

  10. Jayaweera, S.K., V-BLAST-based virtual MIMO for distributed wireless sensor networks, IEEE Trans. Commun., 2007, vol. 55, no. 10, pp. 1867–1872.

    Article  MathSciNet  Google Scholar 

  11. Rafique, Z., Seet, B.C., and Al-Anbuky, A., Performance analysis of cooperative virtual MIMO systems for wireless sensor networks, Sensors, 2013, vol. 13, no. 6, pp. 7033–7052.

    Article  Google Scholar 

  12. Fan, J.C., Yin, Q.Y., Wang, W.J., and Feng, A., Analysis of energy efficiency for cooperative beamforming in wireless sensor networks, J. Commun., 2008, vol. 29, no. 11, pp. 145–151.

    Google Scholar 

  13. Bejar Haro, B., Zazo, S., and Palomar, D.P., Energy efficient collaborative beamforming in wireless sensor networks, IEEE Trans. Signal Process., 2014, vol. 62, no. 2, pp. 496–510.

    Article  MathSciNet  Google Scholar 

  14. Cui, S., Goldsmith, A.J., and Bahai, A., Energy-constrained modulation optimization, IEEE Trans. Wireless Commun., 2005, vol. 4, no. 5, pp. 2349–2360.

    Article  Google Scholar 

  15. Jiang, R.Y., Wei, J., and Zheng, B.Y., Joint optimization of energy dissipation in cooperative wireless sensor networks, J. Electron. Inf. Technol., 2010, vol. 32, no. 6, pp. 1475–1479.

    Google Scholar 

  16. Weiguang Shi, Xiaoli Qi, Jianxiong Li, Shuxia Yan, and Liying Chen, Simple solution to the optimal deployment of cooperative nodes in two-dimensional TOA-based and AOA-based localization system, EURASIP J. Wireless Commun. Networking, 2017.

  17. Jaison, A., Kavitha, N., and Janardhanan, P.S., Docker for optimization of Cassandra NoSQL deployments on node limited clusters, 2016 International Conference on Emerging Technological Trends (ICETT), 2017.

  18. Kumar, V., Singh, P., and Patra, S.K., Achievable rate and power efficiency of massive MIMO in cooperative network with ZF receivers, TENCON 2017—2017 IEEE Region 10 Conference, 2017.

  19. Sheikh, J.A., et al., A new method of speech transmission over space time block coded co-operative MIMO–OFDM networks using time and space diversity, Int. J. Speech Technol., 2017.

Download references

Funding

The work was supported by the National Natural Science Foundation of China under Grant nos. 51174084, 51275372 and the Scientific Research Project of Hubei Provincial Department of Education (Q20161408).

Author information

Authors and Affiliations

  1. Institute of Agricultural Machinery, Hubei University of Technology, 430068, Wuhan, China

    Yang Guangyou, Xi Chenbo & Zheng Tuo

  2. School of Mechanical and Electronic Engineering, Wuhan University of Technology, 430070, Wuhan, China

    Gan Xiong

Authors
  1. Yang Guangyou
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xi Chenbo
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Gan Xiong
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zheng Tuo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Yang Guangyou or Xi Chenbo.

Ethics declarations

The authors declare that there is no conflict of interests.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yang Guangyou, Chenbo, X., Xiong, G. et al. Energy Efficient Node Deployment Optimization for CTS Based on Cooperative Beamforming in Single-Hop Wireless Sensor Networks. Aut. Control Comp. Sci. 54, 147–155 (2020). https://doi.org/10.3103/S0146411620020066

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S0146411620020066

Keywords:

Search

Navigation