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Efficient Energy Utilization Through Optimum Number of Sensor Node Distribution in Engineered Corona-Based (ONSD-EC) Wireless Sensor Network

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Abstract

An optimum sensor node deployment in wireless sensor network can sense the event precisely in many real time scenarios for example forests, habitat, battlefields, and precision agriculture. Due to these applications, it is necessary to distribute the sensor node in an efficient way to monitor the event precisely and to utilize maximum energy during network lifetime. In this paper, we consider the energy hole formation due to the unbalanced energy consumption in many-to-one wireless sensor network. We propose a novel method using the optimum number of sensor node Distribution in Engineered Corona-based wireless sensor network, in which the interested area is divided into a number of coronas. A mathematical models is proposed to find out the energy consumption rate and to distribute the optimum number of sensor node in each corona according to energy consumption rate. An algorithm is proposed to distribute the optimum number of sensor nodes in corona-based networks. Simulation result shows that the proposed technique utilized 95 % of the total energy of the network during network lifetime. The proposed technique also maximizes the network lifetime, data delivery and reduce the residual energy ratio during network lifetime.

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Authors and Affiliations

  1. Department of Computer and Information Sciences, Universiti Teknologi Petronas, Bandar Seri Iskandar, 31750 , Tronoh, Perak, Malaysia

    Atiq Ur Rahman & Halabi Hasbullah

  2. Department of Computer Sciences and Information, Al-Jouf University, Jouf, KSA

    Najm Us Sama

Authors
  1. Atiq Ur Rahman
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  2. Halabi Hasbullah
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  3. Najm Us Sama
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Correspondence to Atiq Ur Rahman.

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Rahman, A.U., Hasbullah, H. & Sama, N.U. Efficient Energy Utilization Through Optimum Number of Sensor Node Distribution in Engineered Corona-Based (ONSD-EC) Wireless Sensor Network. Wireless Pers Commun 73, 1227–1243 (2013). https://doi.org/10.1007/s11277-013-1275-9

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  • DOI: https://doi.org/10.1007/s11277-013-1275-9

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