Skip to main content

Advertisement

SpringerLink
Log in

A multi-hop heterogeneous cluster-based optimization algorithm for wireless sensor networks

  • Published:
Wireless Networks Aims and scope Submit manuscript

Abstract

With the growth of different design goals and application requirements, wireless sensor networks (WSNs) have been increasingly popular for a wide variety of purposes, e.g., image formation of a target field, intrusion detection, surveillance and environmental monitoring. In this paper, a multi-hop heterogeneous cluster-based optimization algorithm (MHCOA) for WSNs is proposed. The motivation to MHCOA for WSNs is that several higher energy sensor nodes act as cluster heads, which are deployed artificially, while some low energy sensor nodes act as cluster members, which are deployed randomly. In order to realize monitoring task, we complete three major works in this paper. First, MHCOA calculates the number of cluster heads and communication radius of low energy sensor nodes; Second, it finishes monitoring task through data packets transmission with higher energy nodes acting as cluster heads in the form of multi-hop heterogeneous WSNs; Finally, simulation results show that compared to its peers in heterogeneous WSNs, MHCOA reduces the number of cluster heads, which saves the network average energy by up to 16.7 % and extends the network life by up to 38 %, while with less end-to-end delay.

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. Mhatre, V., Rosenberg, C. (2004). Homogeneous vs heterogeneous clustered sensor networks: A comparative study. In 2004 IEEE International Conference on Communications (ICC’04), Paris, France, Jane, 2004, vol. 6, pp. 3646–3651.

  2. Antonio, P., Grimaccia, F., & Mussetta, M. (2012). Architecture and methods for innovative heterogeneous wireless sensor network applications. Remote Sensing, 2012(4), 1146–1161.

    Article  Google Scholar 

  3. Kumar, D., Aseri, T. C., & Patel, R. B. (2009). EEHC: Energy efficient heterogeneous clustered scheme for wireless sensor networks. Computer Communications, 32(4), 662–667.

    Article  Google Scholar 

  4. Han, L. I. (2010). LEACH-HPR: An energy efficient routing algorithm for heterogeneous WSN. In IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS2010), vol. 2, pp. 507–511.

  5. Heinzelman, W., Chandrakasan, A., & Balakrishnan, H. (2002). An application-specific protocol architecture for wireless micro sensor networks. IEEE Transactions on Wireless Communications, 1(4), 660–670.

    Article  Google Scholar 

  6. Manjeshwar, A., Grawal, D. P. (2001). TEEN: A protocol for enhanced efficiency in wireless sensor networks. In Proceedings of the 15th Parallel and Distributed Processing Symposium (pp. 2009–2015). San Francisco: IEEE Computer Society.

  7. Younis, O., & Fahmy, S. (2004). HEED: A hybrid, energy-efficient, distributed clustering approach for ad-hoc sensor networks. IEEE Transactions On Mobile Computing, 3(4), 660–669.

    Article  Google Scholar 

  8. Qing, L., Zhu, Q., & Wang, M. (2006). Design of a distributed energy efficient clustering algorithm for heterogeneous wireless sensor networks. Computer Communications, 29(12), 2230–2237.

    Article  MathSciNet  Google Scholar 

  9. Duan, C. & Fan, H. (2007). A distributed energy balance clustering protocol for heterogeneous wireless sensor networks, wireless communications, networking and mobile computing. In WiCom 2007 International Conference, pp. 2469–2473.

  10. Elbhiri, B., Saadane, R., & Aboutajdine, D. (2011). Stochastic and equitable distributed energy-efficient clustering (SEDEEC) for heterogeneous wireless sensor networks. International Journal of Ad Hoc and Ubiquitous Computing, 7(1), 4–11.

    Article  Google Scholar 

  11. Zois, D. S., Levorato, M., & Mitra, U. (2013). Energy-efficient, heterogeneous sensor selection for physical activity detection in wireless body area networks. IEEE Transaction on Signal Processing, 61(7), 1581–1594.

    Article  MathSciNet  Google Scholar 

  12. Lu, X., Chen, X., Li, Y., et al. (2013). ZebraBAN: A heterogeneous high-performance energy efficient wireless body sensor network. IET Wireless Sensor Systems, 3(4), 247–254.

    Article  Google Scholar 

  13. Akbas, M. I., & Turgut, D. (2013). Lightweight routing with dynamic interests in wireless sensor and actor networks. Ad Hoc Networks, 2013(11), 2313–2328.

    Article  Google Scholar 

  14. Rappaport, T. (2002). Wireless communication principles and practice (2 (M) ed.). Upper Saddle River, NJ, London: Prentice Hall PTR.

    Google Scholar 

  15. Mhatre, V., & Rosenberg, C. (2004). Design guidelines for wireless sensor networks: Communication, clustering and aggregation. Ad Hoc Networks, 2(1), 45–63.

    Article  Google Scholar 

  16. http://www.isi.edu/nsnam/ns/.

Download references

Acknowledgments

The material presented in this paper is based upon work funded by National Natural Science Foundation of China (60873003, 60873195); Ph.D. Programs Foundation of the Ministry of Education of China (20100111110004).

Author information

Authors and Affiliations

  1. School of Computer and Information, Hefei University of Technology, Hefei, 230009, People’s Republic of China

    Songhua Hu, Jianghong Han, Xing Wei & Zhen Chen

  2. School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, 454000, People’s Republic of China

    Songhua Hu

Authors
  1. Songhua Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jianghong Han
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xing Wei
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zhen Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Songhua Hu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hu, S., Han, J., Wei, X. et al. A multi-hop heterogeneous cluster-based optimization algorithm for wireless sensor networks. Wireless Netw 21, 57–65 (2015). https://doi.org/10.1007/s11276-014-0769-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11276-014-0769-z

Keywords

Search

Navigation