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Sensors 2013, 13(3), 3473-3500; doi:10.3390/s130303473

Evaluating the Power Consumption of Wireless Sensor Network Applications Using Models

Centre of Informatics, Federal University of Pernambuco, 50740-540, Recife, PE, Brazil
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Received: 15 January 2013 / Revised: 20 February 2013 / Accepted: 2 March 2013 / Published: 13 March 2013
(This article belongs to the Section Sensor Networks)

Abstract

Power consumption is the main concern in developing Wireless Sensor Network (WSN) applications. Consequently, several strategies have been proposed for investigating the power consumption of this kind of application. These strategies can help to predict the WSN lifetime, provide recommendations to application developers and may optimize the energy consumed by the WSN applications. While measurement is a known and precise strategy for power consumption evaluation, it is very costly, tedious and may be unfeasible considering the (usual) large number of WSN nodes. Furthermore, due to the inherent dynamism of WSNs, the instrumentation required by measurement techniques makes difficult their use in several different scenarios. In this context, this paper presents an approach for evaluating the power consumption of WSN applications by using simulation models along with a set of tools to automate the proposed approach. Starting from a programming language code, we automatically generate consumption models used to predict the power consumption of WSN applications. In order to evaluate the proposed approach, we compare the results obtained by using the generated models against ones obtained by measurement.
Keywords: Wireless Sensor Networks; power consumption; simulation; nesC; coloured Petri net Wireless Sensor Networks; power consumption; simulation; nesC; coloured Petri net
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Dâmaso, A.; Freitas, D.; Rosa, N.; Silva, B.; Maciel, P. Evaluating the Power Consumption of Wireless Sensor Network Applications Using Models. Sensors 2013, 13, 3473-3500.

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