DECH: Equally Distributed Cluster Heads Technique for Clustering Protocols in WSNs

Abstract

Recent research works focus on the development of wireless sensor networks, leading to the arrival of new protocols. One of the goals of a routing protocol is reducing the power consumption. Clustering techniques are used in routing protocols to increase network lifetime and reduce network overhead. Major clustering protocols like LEACH, TEEN, DEEC and DSBCA randomly select nodes or cluster heads to initiate the clustering process. Here we propose a new pre-clustering technique that improves the life time of WSN and also increases the throughput. The proposed technique has been implemented on the above said protocols, which equally distributes the randomly triggered nodes or Cluster Heads based on link cost. The simulation results show that the stability period, network lifetime and throughput of the selected routing protocols have been improved using DECH technique.

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References

  1. 1.

    Pei, Z., Deng, Z., Yang, B., & Cheng, X. (2008). Application-oriented wireless sensor network communication protocols and hardware platforms: A survey. In Industrial technology. ICIT 2008. IEEE international conference on, IEEE, 2008, (pp. 1–6).

  2. 2.

    Lin, R., Wang, Z., & Sun, Y. (2004). Wireless sensor networks solutions for real time monitoring of nuclear power plant. In Intelligent control and automation. WCICA 2004. Fifth world congress on, IEEE, 2004, (vol. 4, pp. 3663–3667).

  3. 3.

    Sha, K., Shi, W., & Watkins, O. (2006). Using wireless sensor networks for fire rescue applications: Requirements and challenges. In Electro/information technology. IEEE international conference on, IEEE, 2006, (pp. 239–244).

  4. 4.

    Feng, G., Li, Y., Wen’an, Z., Shangqiong, L., Lijie, Y., & Qingxiang, X. (2008). Preliminary study on crop precision irrigation system based on wireless sensor networks for stem diameter microvariation. In Transactions of the Chinese society of agricultural engineering 2008, no. 11.

  5. 5.

    Hussain, M. A., Khan, P., & Sup, K. K. (2009). WSN research activities for military application. In Proceedings of the 11th international conference on advanced communication technology, IEEE Press, (vol. 1, pp. 271–274).

  6. 6.

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

    Article  Google Scholar 

  7. 7.

    Arati, M., & Dharma, P. A. (2001). TEEN: A routing protocol for enhanced efficiency in wireless sensor networks, 0-7695-0990-8/01/(C) IEEE.

  8. 8.

    Qing, Li, Zhu, Qingxin, & Wang, Mingwen. (2006). Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks. Computer Communications, 29(12), 2230–2237.

    MathSciNet  Article  Google Scholar 

  9. 9.

    Smaragdakis, G., Matta, I., & Bestavros, A. (2004). SEP: A stable election protocol for clustered heterogeneous wireless sensor networks. Boston: Boston University Computer Science Department.

    Google Scholar 

  10. 10.

    Vardharajulu K. N., Packiyalakshme K., Sundareswaran P. Hierarchical routing protocols in wireless sensor networks, International Journal of Engineering Research and Technology, ISSN: 2278-0181.

  11. 11.

    Liu, Xuxun. (2012). A survey on clustering routing protocols in wireless sensor networks. Sensors, 12(8), 11113–11153.

    Article  Google Scholar 

  12. 12.

    Akkaya, Kemal, & Younis, Mohamed. (2005). A survey on routing protocols for wireless sensor networks. Ad Hoc Networks, 3(3), 325–349.

    Article  Google Scholar 

  13. 13.

    Ying L., Qi, H., & Li, W. (2013). Load-balanced clustering algorithm with distributed self-organization for wireless sensor networks, IEEE Sensors Journal, 13(5), 1498–1506.

  14. 14.

    Javaid, N., Waseem, M., Khan, Z. A., Qasim, U., Latif, K., & Javaid, A. (2013). ACH: Away cluster heads scheme for energy efficient clustering protocols in WSNs.” arXiv preprint arXiv:1304.0635.

  15. 15.

    Benkic, K., Malajner, M., Planinsic, P., & Cucej, Z. (2008) Using RSSI value for distance estimation in wireless sensor networks based on ZigBee. In Systems, signals and image processing, 2008. IWSSIP 2008. 15th international conference on, IEEE, 2008, ( pp. 303–306).

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Correspondence to K. N. Vardharajulu.

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Sundareswaran, P., Vardharajulu, K.N. & Rajesh, R.S. DECH: Equally Distributed Cluster Heads Technique for Clustering Protocols in WSNs. Wireless Pers Commun 84, 137–151 (2015). https://doi.org/10.1007/s11277-015-2598-5

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Keywords

  • Routing protocols
  • Wireless sensor networks
  • Cluster heads
  • Clusters
  • DECH