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Home»Articles»Implementation of Energy HEED (ER-HEED) Protocol Using Super Cluster Head for WSN

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Asian Journal of Computer Science and Technology (AJCST)

Editor Dr. K. Ganesh
Print ISSN : 2249-0701
Frequency : Quarterly

Implementation of Energy HEED (ER-HEED) Protocol Using Super Cluster Head for WSN

Author : G. Pattabirani and K. Selvakumar
Volume 7 No.1 Special Issue:November 2018 pp 119-122

Abstract

Wireless Sensor Network (WSN) is used in almost all applications in developing environment. This is due to their ability and easy implementation through several applications. The most important criteria in WSN are to minimize the energy consumption and improve the network lifetime. Clustering algorithms are considered as one of the effective way to improve the network lifetime in WSN. Hybrid, Energy-Efficient and Distributed (HEED) clustering approach uses energy-efficient clustering algorithm. This paper proposes an Enhanced Rotational HEED (ER-HEED) protocol using super cluster head for minimizing energy consumption and to improve the network lifetime. The proposed work is carried out in two stages, first stage, super cluster head is introduced. In second stage, the node with maximum threshold is chosen as a cluster head on rotation within in the cluster. The results show that the ER-HEED performs well when compared with HEED and LEACH.

Keywords

Wireless Sensor Network, HEED, LEACH, Clustering, ER-HEED

Full Text:

References

[1] K. Akkaya and M. Younis, “A survey on routing protocols for wireless sensor networks”, Ad hoc networks, Vol. 3, No. 3, pp. 325-349, 2005.
[2] Ablolfazl Afsharzadeh Kazerooni , Hamed Jelodar and JavadAramideh, “LEACH AND HEED clustering algorithms in Wireless Sensor Networks: A Qualitative Study”, Advances in Science and Technology Research Journal, Vol. 9, No. 25, pp. 7-11, 2015.
[3] M. A. Perillo and W. B. Heizelman, “Wireless Sensor Network Protocol”, University of Rochester Research Highlight ISBN, 2004.
[4] A.A. Abbasi and M. Younis “A survey on clustering algorithms for wireless sensor networks”, Elsevier, 2007.
[5] M. Malik and Y. Singh “Analysis of LEACH protocol in wireless sensor networks”. International Journal of Advanced Research in Computer Science and Software Engineering, Feb. 2013.
[6] O. Younis and S. Fahmy, “HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks”. Mobile Computing, IEEE Transactions on, Vol. 3, No. 4, pp. 366-379, 2004.
[7] W. R. Heinzelman, A. Chandrakasan and H. Balakrishnan, “Energy-efficient communication protocol for wireless microsensor networks”. In System Sciences, Proceedings of the 33rd Annual Hawaii International Conference on. IEEE, pp.10, 2000.
[8] M. Younis and A. A. Ameer, “A Survey on Clustering Algorithms for Wireless Sensor Networks,” Science Direct – Computer Communications, Vol. 30, pp. 2826-2841, Jun. 2007.
[9] M. Petrova, J. Riihijarvi, P. Mahonen, and S. Labella, “Performance Study of IEEE 802.15.4 Using Measurements and Simulations,”Wireless Communications and Networking Conference, 2006. WCNC 2006. IEEE, Vol. 1, pp. 487-492, Apr. 2006.
[10] Q. Li, Z. Qingxinand and W. Mingwen, “Design of a distributed energy efficient clustering algorithm for heterogeneous wireless sensor networks”, Computer Communications, Vol. 29, pp. 2230, 2006.
[11] Z. Liu, Q. Zheng, L. Xue and X. Guan, “A distributed energy-efficient clustering algorithm with improved coverage in wireless sensor networks”, Future Generation Computer Systems, Elsevier Science, USA.
[12] R. B. Patel, T. S. Aseri and D. Kumar, “EEHC: Energy efficient heterogeneous clustered scheme for wireless sensor networks”, International Journal of Computer Communications, Elsevier, Vol. 32, No. 4, pp. 662, 2009.

Asian Journal of Computer Science and Technology is a peer-reviewed international journal that publishes high-quality scientific articles (both theory and practice) and research papers covering all aspects of future computer and Information Technology areas. Topics include, but are not limited to:

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Wireless Sensor Network (WSN) is used in almost all applications in developing environment. This is due to their ability and easy implementation through several applications. The most important criteria in WSN are to minimize the energy consumption and improve the network lifetime. Clustering algorithms are considered as one of the effective way to improve the network lifetime in WSN. Hybrid, Energy-Efficient and Distributed (HEED) clustering approach uses energy-efficient clustering algorithm. This paper proposes an Enhanced Rotational HEED (ER-HEED) protocol using super cluster head for minimizing energy consumption and to improve the network lifetime. The proposed work is carried out in two stages, first stage, super cluster head is introduced. In second stage, the node with maximum threshold is chosen as a cluster head on rotation within in the cluster. The results show that the ER-HEED performs well when compared with HEED and LEACH.

Editor-in-Chief
Dr. K. Ganesh
Global Lead, Supply Chain Management, Center of Competence and Senior Knowledge
Expert at McKinsey and Company, India
[email protected]
Editorial Advisory Board
Dr. Eng. Hamid Ali Abed AL-Asadi
Department of Computer Science, Basra University, Iraq
[email protected]
Dr. Norjihan Binti Abdul Ghani
Department of Information System, University of Malaya, Malaysia
[email protected]
Dr. Christos Bouras
Department of Computer Engineering & Informatics, University of Patras, Greece
[email protected]
Dr. Maizatul Akmar Binti Ismail
Department of Information System, University of Malaya, Malaysia
[email protected]
Dr. Harold Castro
Department of Systems Engineering and Computing, University of the Andes, Colombia
[email protected]
Dr. Busyairah Binti Syd Ali
Department of Software Engineering, University of Malaya, Malaysia
[email protected]
Dr. Sri Devi Ravana
Department of Information system, University of Malaya, Malaysia
[email protected]
Dr. Karpaga Selvi Subramanian
Department of Computer Engineering, Mekelle University, Ethiopia
[email protected]
Dr. Mazliza Binti Othman
Department of Computer System & Technology, University of Malaya, Malaysia
[email protected]
Dr. Chiam Yin Kia
Department of Software Engineering, University of Malaya, Malaysia
[email protected]
Dr. OUH Eng Lieh
Department of Information Systems, Singapore Management University, Singapore
[email protected]

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    Editorial Note

    Editorial Dr. K. Ganesh

    Editor-in-Chief
    Dr. K. Ganesh
    Global Lead, Supply Chain Management, Center of Competence and Senior Knowledge
    Expert at McKinsey and Company, India
    [email protected]
    Editorial Advisory Board
    Dr. Eng. Hamid Ali Abed AL-Asadi
    Department of Computer Science, Basra University, Iraq
    [email protected]
    Dr. Norjihan Binti Abdul Ghani
    Department of Information System, University of Malaya, Malaysia
    [email protected]
    Dr. Christos Bouras
    Department of Computer Engineering & Informatics, University of Patras, Greece
    [email protected]
    Dr. Maizatul Akmar Binti Ismail
    Department of Information System, University of Malaya, Malaysia
    [email protected]
    Dr. Harold Castro
    Department of Systems Engineering and Computing, University of the Andes, Colombia
    [email protected]
    Dr. Busyairah Binti Syd Ali
    Department of Software Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. Sri Devi Ravana
    Department of Information system, University of Malaya, Malaysia
    [email protected]
    Dr. Karpaga Selvi Subramanian
    Department of Computer Engineering, Mekelle University, Ethiopia
    [email protected]
    Dr. Mazliza Binti Othman
    Department of Computer System & Technology, University of Malaya, Malaysia
    [email protected]
    Dr. Chiam Yin Kia
    Department of Software Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. OUH Eng Lieh
    Department of Information Systems, Singapore Management University, Singapore
    [email protected]

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