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Sensors 2017, 17(11), 2547; https://doi.org/10.3390/s17112547

Integrated Evaluation of Reliability and Power Consumption of Wireless Sensor Networks

Centro de Informática, Universidade Federal de Pernambuco, Av. Jornalista Aníbal Fernandes, s/n-Cidade Universitária, 50740-560 Recife, PE, Brazil
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Received: 10 August 2017 / Revised: 24 October 2017 / Accepted: 25 October 2017 / Published: 5 November 2017
(This article belongs to the Section Sensor Networks)
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Abstract

Power consumption is a primary interest in Wireless Sensor Networks (WSNs), and a large number of strategies have been proposed to evaluate it. However, those approaches usually neither consider reliability issues nor the power consumption of applications executing in the network. A central concern is the lack of consolidated solutions that enable us to evaluate the power consumption of applications and the network stack also considering their reliabilities. To solve this problem, we introduce a fully automatic solution to design power consumption aware WSN applications and communication protocols. The solution presented in this paper comprises a methodology to evaluate the power consumption based on the integration of formal models, a set of power consumption and reliability models, a sensitivity analysis strategy to select WSN configurations and a toolbox named EDEN to fully support the proposed methodology. This solution allows accurately estimating the power consumption of WSN applications and the network stack in an automated way. View Full-Text
Keywords: power consumption; reliability; wireless sensor networks; sensitivity analysis; formal models power consumption; reliability; wireless sensor networks; sensitivity analysis; formal models
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Dâmaso, A.; Rosa, N.; Maciel, P. Integrated Evaluation of Reliability and Power Consumption of Wireless Sensor Networks. Sensors 2017, 17, 2547.

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