Touati, FaridGalli, AlessioCrescini, DamianoCrescini, PaoloMnaouer, Adel Ben2020-01-292020-01-2920152015Touati, F., Galli, A., Crescini, D., Crescini, P., & Mnaouer, A. B. (2015). Feasibility of air quality monitoring systems based on environmental energy harvesting. In Conference Record - IEEE Instrumentation and Measurement Technology Conference (Vol. 2015–July, pp. 266–271). https://doi.org/10.1109/I2MTC.2015.7151277978147996113910915281http://dx.doi.org/10.1109/I2MTC.2015.7151277http://hdl.handle.net/20.500.12519/69This conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings (2015), available online at: https://doi.org/10.1109/I2MTC.2015.7151277.Capillary wireless sensor networks dedicated to air quality monitoring have provided essential information on hazardous air condition, generating early warnings to prevent danger situation for human health. The arising problem connected to capillary networks is the adoption of environmental energy as primary and/or unique energy source instead of the replacement of hundreds or even thousands of batteries on a regular basis that leads to high costs and practical problems of devices management. Aim of this paper is to presents a multiparametric sensor node for air quality monitoring, able to work without battery and human intervention, harvesting energy from the surrounding environment for perpetual operation. A complete autonomy system has been designed, experimental results of the harvest energy section and the budget allocation of the power consumption of the system are presented. Moreover the paper shows the experimental results of the studies conducted on the sensors section. A tailored calibration process for the sensors and the energy recovery section could effectively lead the system to trace the air quality levels in indoor and outdoor application, in a sort of 'set and forget' scenario. approach could effectively report and trace air quality levels. © 2015 IEEE.enPermission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.Air monitoringAutonomous systemsGas sensorsPower harvestingWireless sensor networks (WSN)Budget controlChemical sensorsComplex networksElectric batteriesEnergy harvestingSensor nodesEnvironmental energyHarvesting energiesMultiparametric sensorsPower harvestingSurrounding environmentConference PaperCopyright : 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.