A Novel Energy Efficient and Lifetime Maximization Routing Protocol in Wireless Sensor Networks | Wireless Personal Communications Skip to main content

Advertisement

Springer Nature Link
Log in

A Novel Energy Efficient and Lifetime Maximization Routing Protocol in Wireless Sensor Networks

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

    We’re sorry, something doesn't seem to be working properly.

    Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.

Abstract

The energy consumption is a key design criterion for the routing protocols in wireless sensor networks (WSN). Some of the conventional single path routing schemes may not be optimal to maximize the network lifetime and connectivity. Thus, multipath routing schemes is an optimal alternative to extend the lifetime of WSN. Multipath routing schemes distribute the traffic across multiple paths instead of routing all the traffic along a single path. In this paper, we propose a multipath Energy-Efficient data Routing Protocol for wireless sensor networks (EERP). The latter keeps a set of good paths and chooses one based on the node state and the cost function of this path. In EERP, each node has a number of neighbours through which it can route packets to the base station. A node bases its routing decision on two metrics: state and cost function. It searches its Neighbours Information Table for all its neighbours concerned with minimum cost function. Simulation results show that our EERP protocol minimizes and balances the energy consumption well among all sensor nodes and achieves an obvious improvement on the network lifetime.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

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

Similar content being viewed by others

Notes

  1. We use number of rounds to present the lifetime of network. A round is defined as all nodes in the network finish to return their data to sink.

References

  1. Akyildiz, I. F., & Vuran, M. C. (2010). Vuran wireless sensor networks. London: Wiley.

    Book  Google Scholar 

  2. Zhong, N., Callaghan, V., Ghorbani, A.-A., & Hu, B. (2011). A survey of energy conservation, routing and coverage in wireless sensor networks. In Proceedings of international conference on active media technology (AMT).

  3. Zhang, J., & Li, J. (2010). Load-balanced route discovery for wireless sensor networks. Journal of Networks, 5(9), 1060–1068.

    Google Scholar 

  4. Chang, Y.-C., & Sheu, J.-P. (2009). An energy conservation MAC protocol in wireless sensor networks. Wireless Personal Communications Journal, 48, 261–276.

    Google Scholar 

  5. Eslaminejad, M., & AbdRazak, S. (2012). Fundamental lifetime mechanisms in routing protocols for wireless sensor networks: A survey and open issues. Journal of Sensors, 12, 13508–13544.

    Google Scholar 

  6. Singh, S., Singh, M.-P., & Singh, D. (2010). Routing protocols in wireless sensor networks-a survey. International Journal of Computer Science-Engineering Survey (IJCSES), 1(2), 63–83.

    Google Scholar 

  7. Sha, M.-K., Gehlot, J., & Greve, R. (2012). Multipath routing techniques in wireless sensor networks: A survey. Wireless Personal Communications Journal, Springer.

  8. Radi, M., Dezfouli, B., Abu Bakar, K., & Lee, M. (2012). Multipath routing in wireless sensor networks: Survey and research challenges. Journal of Sensors, 12, 650–685.

  9. Akyildiz, I.-F., Su, W., Sankarasubramaniam, Y., & Cayirci, E.-l. (2002). A survey on sensor networks. IEEE Communications Magazine, 40(8), 102–116.

    Google Scholar 

  10. Intanagonwiwat, C., Govindan, R., & Estrin, D. (2000). Directed diffusion: A scalable and robust communication paradigm for sensor networks. In Proceedings of ACM MobiCom’00, USA, pp. 56–67.

  11. Lu, Y.-M., & Wong, W.-S. (2007). An energy-efficient multipath routing protocol for wireless sensor networks. International Journal of Communication Systems, 20(7), 747–766.

    Google Scholar 

  12. Ganesan, D., Govindan, R., Shenker, S., & Estrin, D. (2001). Highly-resilient, energy-efficient multipath routing in wireless sensor networks. In Proceedings of ACM MobiHoc’01, Long Beach, USA.

  13. Shah, R.-C., & Rabaey, J.-M. (2001). Energy aware routing for low energy ad hoc sensor networks. In Proceedings of wireless communications and networking conference (pp. 1028–1037).

  14. Chen, Y., & Nasser, N. (2006). Energy-balancing multipath routing protocol for wireless sensor networks. In Proceedings of international conference on quality of service in heterogeneous wired-wireless, networks.

  15. Kim, M., Jeong, E., Bang, Y.-C., Hwang, S., & Kim, B. (2008). Multipath energy-aware routing protocol in wireless sensor networks. In Proceedings of 5th international conference on networked sensing systems, (pp. 127–130).

  16. Zytoune, O., El-aroussi, M., & Aboutajdine, D. (2009). A uniform balancing energy routing protocol for wireless sensor networks. Wireless Personal Communications Journal, 55(2), 147–161.

    Google Scholar 

  17. Razzaque, M.-A., & Hong, C.-S. (2009). A low overhead, energy-efficient, sink-initiated multipath routing protocol for static wireless sensor networks. In Proceedings of 31st conference Korea information processing society (KIPS).

  18. Sutagundar, A.-V., Manvi, S.-S., & Balavalad, K.-B. (2010). Energy efficient multipath routing protocol for WMSNs. International Journal of Computer and Electrical Engineering, 2(3), 503–510.

    Google Scholar 

  19. Gole, S.-V., & Mallapur, S.-V. (2011). Multipath energy efficient routing protocol. International Journal of Research and Reviews in Computer Science (IJRRCS), 2(4), 954–958.

    Google Scholar 

  20. Tao, M., Lu, D., & Yang, J. (2012). An adaptive energy-aware multi-path routing protocol with load balance for wireless sensor networks. Wireless Personal Communications Journal, 63, 823–846.

    Google Scholar 

  21. Banu, S., & Dhanasekaran, R. (2012). A new multipath routing approach for energy, efficiency in wireless sensor networks. International Journal of Computer Applications, 55(11), 24–30.

    Google Scholar 

  22. Mundada, M.-R., Cyrilraj, V., & Bhuvaneswari, T. (2012). Energy aware multi-hop multi-path hierarchical (EAMMH) routing protocol for wireless sensor networks. European Journal of Scientific Research, 88(4), 520–530.

    Google Scholar 

  23. Saqaeeyan, S., & Roshanzadeh, M. (2012). IEATH: Improved energy aware and two hop multipath routing protocol in wireless sensor networks. International Journal Computer Network and Information Security, 4(5), 22–28.

    Google Scholar 

  24. Heinzelman, W., Kulik, J., & Balakrishnan, H. (1999). Adaptive protocols for information dissemination in wireless sensor networks. In Proceedings of ACM/IEEE international conference on mobile computing and networking, pp. 174–185.

  25. Heinzelman, W.-R., Chandrakasan, A., & Balakrishnan, H. (2000). Energy-efficient communication protocol for wireless microsensor networks. In Proceedings of the 33rd Hawaii international conference on system sciences.

  26. Chang, J.-H., & Tassiulas, L. (2000). Energy conserving routing in wireless ad-hoc networks. In Proceedings of IEEE INFOCOM (pp. 22–31).

  27. J-Sim Home page ”http://sites.google.com/site/jsimocial/”, last consultation 12/06/2011.

  28. Sobeih, A., Chen, W.-P., Hou, J.-C., Kung, L.-C., Li, N., Lim, H., & Zhang, H.-Y. (2005). J-Sim: A simulation and emulation environment for wireless sensor networks. IEEE Wireless Communications magazine, 13(4), 104–119.

    Google Scholar 

Download references

Acknowledgments

The authors would like to thank Khaled Oualah and Rafik Bouchebbah for their help through discussions and simulation work. The authors are very thankful to the anonymous reviews for their constructive comments and suggestions which greatly improve the quality of this paper

Author information

Authors and Affiliations

  1. LAMOS Laboratory, University Abderrahmane Mira of Bejaia, Bejaia, Algeria

    Samra Boulfekhar

  2. LIRE laboratory, University Maintouri of Constantine, Constantine, Algeria

    Mohammed Benmohammed

Authors
  1. Samra Boulfekhar
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. Mohammed Benmohammed
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to Samra Boulfekhar.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Boulfekhar, S., Benmohammed, M. A Novel Energy Efficient and Lifetime Maximization Routing Protocol in Wireless Sensor Networks. Wireless Pers Commun 72, 1333–1349 (2013). https://doi.org/10.1007/s11277-013-1081-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-013-1081-4

Keywords