Renewable energy-harvested sensor systems for air quality monitoring

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Institute of Electrical and Electronics Engineers Inc.
Wireless sensor networks (WSNs) devoted to environmental monitoring has preponderantly assumed the adoption of a portable and limited energy source, (e.g. lithium, alkaline, NiMH batteries), to support the sensor functionalities. The usage of environmental resources as energy booster is now rising up as a workable energy source dedicated to embedded and wireless computing systems where manual replacement of hundreds or even thousands of batteries on a regular basis is not practical. Consequently, substantial research efforts have been spent on designing energy-efficient smart sensor nodes and networks to maximize the lifetime of WSNs. However, in air quality monitoring systems sensors are required to operate for much longer durations (like years or even decades) after they are deployed. Following the above approach this paper presents SENNO (SENsor NOde), a renewable energy-harvested sensor node that intelligently manages energy transfer for continuous operation without human intervention during air quality monitoring. This paper discusses the challenges of designing an autonomous system powered by ambient energy harvesting. Preliminary results show that, the presented approach could effectively report and trace air quality levels. © 2014 IEEE.
This conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in 2014 26th International Conference on Microelectronics (ICM) (2014), available online at:
Air monitoring, Autonomous systems, Gas sensors, Power harvesting, Wireless sensor networks (WSN), Air quality, Chemical sensors, Electric batteries, Embedded systems, Energy efficiency, Energy harvesting, Energy transfer, Microelectronic, Monitoring, Nickel metal hydride batteries, Sensor nodes
Touati, F., Legena, C., Galli, A., Crescini, D., Crescini, P., & Mnaouer, A. (2014). Renewable energy-harvested sensor systems for air quality monitoring. In Proceedings of the International Conference on Microelectronics, ICM (Vol. 2015–March, pp. 160–163).