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Sensors 2010, 10(6), 5809-5826; doi:10.3390/s100605809
Article
Power Consumption Analysis of Operating Systems for Wireless Sensor Networks
1
Instituto de Investigación para la Gestión Integrada de Zonas Costeras, Universitat Politècnica Valencia, C. Paranimf, 1, 46730 Gandía, Spain
2
Instituto de Robótica, Universitat de Valencia, C. Polígono de la Coma, s/n, 46980 Paterna, Spain
* Author to whom correspondence should be addressed.
Received: 19 April 2010; in revised form: 10 May 2010 / Accepted: 25 May 2010 / Published: 8 June 2010
(This article belongs to the Special Issue Wireless Sensor Network and Its Application in Advanced Computer Science)
Abstract: In this paper four wireless sensor network operating systems are compared in terms of power consumption. The analysis takes into account the most common operating systems—TinyOS v1.0, TinyOS v2.0, Mantis and Contiki—running on Tmote Sky and MICAz devices. With the objective of ensuring a fair evaluation, a benchmark composed of four applications has been developed, covering the most typical tasks that a Wireless Sensor Network performs. The results show the instant and average current consumption of the devices during the execution of these applications. The experimental measurements provide a good insight into the power mode in which the device components are running at every moment, and they can be used to compare the performance of different operating systems executing the same tasks.
Keywords: wireless sensor network operating systems; TinyOS; Mantis; Contiki; MICAz; Tmote
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MDPI and ACS Style
Lajara, R.; Pelegrí-Sebastiá, J.; Solano, J.J.P. Power Consumption Analysis of Operating Systems for Wireless Sensor Networks. Sensors 2010, 10, 5809-5826.
AMA StyleLajara R, Pelegrí-Sebastiá J, Solano JJP. Power Consumption Analysis of Operating Systems for Wireless Sensor Networks. Sensors. 2010; 10(6):5809-5826.
Chicago/Turabian StyleLajara, Rafael; Pelegrí-Sebastiá, José; Solano, Juan J. Perez. 2010. "Power Consumption Analysis of Operating Systems for Wireless Sensor Networks." Sensors 10, no. 6: 5809-5826.
