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Lifetime analysis of wireless sensor nodes in different smart grid environments

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Abstract

Wireless sensor networks (WSNs) can help the realization of low-cost power grid automation systems where multi-functional sensor nodes can be used to monitor the critical parameters of smart grid components. The WSN-based smart grid applications include but not limited to load control, power system monitoring and control, fault diagnostics, power fraud detection, demand response, and distribution automation. However, the design and implementation of WSNs are constrained by energy resources. Sensor nodes have limited battery energy supply and accordingly, power aware communication protocols have been developed in order to address the energy consumption and prolong their lifetime. In this paper, the lifetime of wireless sensor nodes has been analyzed under different smart grid radio propagation environments, such as 500 kV substation, main power control room, and underground network transformer vaults. In particular, the effects of smart grid channel characteristics and radio parameters, such as path loss, shadowing, frame length and distance, on a wireless sensor node lifetime have been evaluated. Overall, the main objective of this paper is to help network designers quantifying the impact of the smart grid propagation environment and sensor radio characteristics on node lifetime in harsh smart grid environments.

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Acknowledgments

This paper was funded by KACST through The National Policy for Science, Technology and Innovation Plan, under Grant No. (12-INF2731-03). The authors, therefore, acknowledge technical and financial support of KACST and the Unit for Science and Technology at KAU.

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Authors and Affiliations

  1. Department of Computer Engineering, Bahcesehir University, Ciragan Caddesi, 34353, Besiktas, Istanbul, Turkey

    Cigdem Eris

  2. Department of Electrical and Electronics Engineering, Koc University, Istanbul, Turkey

    Merve Saimler

  3. Department of Computer Engineering, Abdullah Gul University, Kayseri, Turkey

    Vehbi Cagri Gungor

  4. Department of Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

    Etimad Fadel & Ian F. Akyildiz

  5. Broadband Wireless Networking Laboratory, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA

    Ian F. Akyildiz

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  1. Cigdem Eris
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  2. Merve Saimler
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  3. Vehbi Cagri Gungor
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  4. Etimad Fadel
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  5. Ian F. Akyildiz
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Correspondence to Cigdem Eris.

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Eris, C., Saimler, M., Gungor, V.C. et al. Lifetime analysis of wireless sensor nodes in different smart grid environments. Wireless Netw 20, 2053–2062 (2014). https://doi.org/10.1007/s11276-014-0723-0

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  • DOI: https://doi.org/10.1007/s11276-014-0723-0

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