General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
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Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2012 Vol.4(1): 1-6 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2012.V4.418

Distributed Multi-Tier Energy-Efficient Clustering

Yogesh Kumar Meena , Amit Singh, and Anup Singh Chandel

Abstract—Wireless sensor networking has huge potential of its exploitation in various fields like weather monitoring, battle field surveillance and security systems also. The services provided by wireless sensor networks (WSN) are based on the various sensor nodes deployed in area to cover or sense. These sensor nodes are energy constraints i.e. have limited energy source. So for better utilization of sensor network, we should manage the energy consumption of WSN. There are various ways to manage energy consumption in the sensor nodes and in WSN. Our research work is mainly based on hierarchical and clustering approaches. We proposed an efficient way of using hybrid energy-efficient distributed clustering (HEED) algorithm for energy saving by the use of multi layer architecture. By using 2-tier architecture in the clustering and operation of sensor nodes we have gained an increase in the network lifetime of the WSN. In this paper, we describe our distributed multi-tier energy-efficient clustering (DMEC) approach to save the energy of sensor network and increased lifetime of the network.

Index Terms—Clustering, energy efficiency, multi tier, network lifetime. sensor networks.

Yogesh Kumar Meena is with Department of Information Technology, Hindustan Institute of Technology and Management, Agra, India (e-mail:
Amit Singh is with Department of Computer Application, Hindustan Institute of Management and Computer Studies, Mathura, India (email:
Anup Singh Chandel is with Department of Research , National Technical Research Organization, Mumbai, India (e-mail:


Cite: Yogesh Kumar Meena , Amit Singh, and Anup Singh Chandel, "Distributed Multi-Tier Energy-Efficient Clustering," International Journal of Computer Theory and Engineering vol. 4, no. 1, pp. 1-6, 2012.

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