Environmentally Powered Multiparametric Wireless Sensor Node for Air Quality Diagnostic

Abstract

Sensor networks dedicated to environmental monitoring have helped in the analysis of primal processes and have also provided vital hazard early warnings. At the same time, environmental energy is now becoming a popular workable energy source dedicated to embedded and wireless computing systems where manual recharging and/or replacement of hundreds or even thousands of batteries on a regular basis is not practical. In this paper, we present a sensor node (SENNO), a multiparametric sensor node that intelligently manages energy transfer for perpetual operation without human intervention during air quality monitoring. The overall system design and experimental results are presented together with energy budget allocation. Preliminary results demonstrate that, after a tailored calibration process, the presented platform could effectively report and trace air quality levels in a type of "set and forget" scenario.

Real-time Gradient-Aware Indigenous AQI Estimation IoT Platform

“…The existing O-AQNs, Urban AirQ, Smart Citizen Kit, SeReNo V1, AirQ Mesh needed improvement in energy efficiency, GPS, time-series vector structuring, and remote data transmission to ensure dynamic air quality mapping [16][17][18][19][20].…”

“…The Sensor Node (SeReNo) V1 [19] by Farid et al was the first node developed with indoor air quality monitoring and energy harvesting capabilities. SeReNo V2 presented in this work [20] is the improvement of [19] that needed to be upgraded with GSM and GPS, more Flash to perform AQI data processing needed for optimized energy efficiency, electrochemical gas sensors warm-up times, and outdoor air quality.…”

“…The works Lebilium Waspmote [21] was Zigbee but needed GSM/GPRS support for outdoor sensing and have been more contributory if equipped with geo-spatial traces or cadastral layouts support for all the measured variables like AirBox [22]. An infrastructure embedded system was needed to accommodate the maximum sensing, minimum data processing, AQI estimation, and long-haul deployability [19][20][21][22][23].…”

“…The block diagram of a generic AQM node is given below in figure 1. In our previous works [14,15,19,20], we had filled the design gaps in indoor air quality monitoring and developed a multi-sensor AQM node called Sensors V1 revision 1 and revision 2 presented in figure 1. In this work, work proposed a novel O-AQM node by improving the system architecture of SeReNo V1 as SeReNo V2.…”