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. Cecilia Xie
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    • Average Days from Submission to Acceptance: 192 days
    • APC: 800 USD
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IJCTE 2012 Vol.4(5): 843-846 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2012.V4.591

A Multiple-Sink Model for Decreasing the Energy Hole Problem in Large-Scale Wireless Sensor Networks

Mehrdad Ahadi and Amir Masoud Bidgoli

Abstract—The received data by the nodes of wireless sensor networks (WSNs) should be sent to the sink (base station) for performing calculations and making the right decisions. Therefore, the density of data packets increases near the sink and as a result, the energy of nearby nodes is depleted more rapidly. This phenomenon is called “Energy-Hole”. Destruction of nodes in the proximity of sink is followed by disconnection of other nodes’ links with the sink causing the network to stop working. Resolving the problem of energy hole is one of the key factors for designing large-scale wireless sensor networks aimed at improving the life span of these systems. Our model in this paper is based on the distribution of working load among the numerous receivers. We have proposed a multiple-sink model for reducing the problem of energy hole via increasing the number of nodes in the vicinity of the sink. This will result in distribution of working load among larger number of nodes in energy consumption bottlenecks of the network. The model consists of different levels of sink intensity, i.e. the number of sinks is determined based on the network’s largeness. Finally, we will investigate the proposed model using a numerical analysis.

Index Terms—Wireless sensor networks, energy hole problem, multiple-sinks, work load, critical zone.

The authors are with the Department of Technical and Engineering, Islamic Azad University, Tehran North branch, Tehran, Iran (e-mail: Mehrdad1986oct@gmail.com).

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Cite: Mehrdad Ahadi and Amir Masoud Bidgoli, "A Multiple-Sink Model for Decreasing the Energy Hole Problem in Large-Scale Wireless Sensor Networks," International Journal of Computer Theory and Engineering vol. 4, no. 5, pp. 843-846, 2012.


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