EEA

Author:

El Alami Hassan1,Najid Abdellah1

Affiliation:

1. 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.

Publisher

IGI Global

Subject

Industrial and Manufacturing Engineering,Metals and Alloys,Strategy and Management,Mechanical Engineering

Reference20 articles.

1. Wireless sensor networks: a survey

2. Hierarchical adaptive balanced routing protocol for energy efficiency in heterogeneous wireless sensor networks;S. B.Alla;Energy Efficiency-The Innovative Ways for Smart Energy, the Future Towards Modern Utilities,2012

3. Amuthan, A., & Arulmurugan, A. (2018). Semi-Markov inspired hybrid trust prediction scheme for prolonging lifetime through reliable cluster head selection in WSNs. Journal of King Saud University-Computer and Information Sciences.

4. The Internet of Things: A survey

5. El Alami, H., & Najid, A. (2017). (SET) Smart Energy Management and Throughput Maximization: A New Routing Protocol for WSNs. In Security Management in Mobile Cloud Computing (pp. 1-28). Hershey, PA: IGI Global.

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