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EEA: Clustering Algorithm for Energy-Efficient Adaptive in Wireless Sensor Networks

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  • Hassan El Alami

    (National Institute of Posts and Telecommunications (INPT), Rabat, Morocco)

  • Abdellah Najid

    (National Institute of Posts and Telecommunications (INPT), Rabat, Morocco)

Abstract

The data communication task, in wireless sensor networks (WSNs), is a major issue of high energy consumption. A hierarchical design based on a clustering algorithm is one of the approaches to manage the data communication and save energy in WSNs. However, most of the previous approaches based on clustering algorithms have not considered the length of the data communication path, which is a direct relation to energy consumption in WSNs. In this article, a novel scheme of a clustering algorithm has been proposed for reducing the data communication distance in WSNs. Hierarchical routing protocols were implemented for homogeneous and heterogeneous networks. The results show that the proposed scheme is more efficient than other protocols.

Suggested Citation

  • Hassan El Alami & Abdellah Najid, 2018. "EEA: Clustering Algorithm for Energy-Efficient Adaptive in Wireless Sensor Networks," International Journal of Wireless Networks and Broadband Technologies (IJWNBT), IGI Global, vol. 7(2), pages 19-37, July.
    • Handle: RePEc:igg:jwnbt0:v:7:y:2018:i:2:p:19-37
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