Contribution toward interoperability of wireless sensor networks based on IEEE1451 in environmental monitoring applications

We propose three interoperability levels to introduce in present and future Wireless Sensor Networks (WSN) deployments with smart sensors.Peer ReviewedPostprint (published version

Publicacions 2010. Campus del Baix Llobregat UPC

En aquest document s'han recopilat totes les publicacions realitzades pel professorat del Campus del Baix Llobregat de la UPC durant el període comprés entre l'1 de Gener i el 31 d'Octubre de 2010.Preprin

Tiny and autonomous IEEE1451 Sonic Anemometer to deploy in environmental Wireless Sensor Network

Wind speed and direction are important parameters in the study of applied meteorology, for example, in weather prediction, air pollution, transport safety and structural safety. In this paper, we propose the design and deployment of an interoperable Smart Ultrasonic Anemometer that uses the IEEE 1451 standard and operates in a Wireless Sensor Network (WSN). This standard permits interoperability and introduces self-calibration and self-configuration tasks. We include power management considerations to calculate the energy consumption using a low power sampling protocol BMAC with variable duty cycle. Experimental tests are included to study the current consumption using an energy harvester with solar panel and super capacitors to increase the reliability and lifetime of the sensor node.Peer ReviewedPostprint (published version

Tiny and autonomous IEEE1451 Sonic Anemometer to deploy in environmental Wireless Sensor Network

Wind speed and direction are important parameters in the study of applied meteorology, for example, in weather prediction, air pollution, transport safety and structural safety. In this paper, we propose the design and deployment of an interoperable Smart Ultrasonic Anemometer that uses the IEEE 1451 standard and operates in a Wireless Sensor Network (WSN). This standard permits interoperability and introduces self-calibration and self-configuration tasks. We include power management considerations to calculate the energy consumption using a low power sampling protocol BMAC with variable duty cycle. Experimental tests are included to study the current consumption using an energy harvester with solar panel and super capacitors to increase the reliability and lifetime of the sensor node.Peer Reviewe