Department of Computer Engineering and Computational Sciences
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Browsing Department of Computer Engineering and Computational Sciences by Subject "Air quality"
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Item An Autonomous Multi-Variable Outdoor Air Quality Mapping Wireless Sensors IoT Node for Qatar(Institute of Electrical and Electronics Engineers Inc., 2020-06) Tariq, Hasan; Abdaoui, Abderrazak; Touati, Farid; Al-Hitmi, Mohammed Abdulla E; Crescini, Damiano; Mnaouer, Adel BenIn all outdoor long haul air quality monitoring and mapping applications, sensing accuracy, the sustainability of telemetry, and resilience in node systems and operation are major challenges. The severity of these challenges varies depending on the moderateness and harshness of the climate of observation. In this work, an autonomous environmentally powered, sensors self-diagnostic/calibration, and context-aware IoT-based telemetry for multi-variable sensing node is being proposed. In this node, photo-voltaic and piezoelectric energy harvesters contributed to self-calibration and sustainable measurement of temperature (in °C), humidity (in %), pressure (in bar), geo-position (in NMEA format), volatile organic compounds-VOC (in ppm), particulate matter PM (in ppm), ozone (in Dobson Unit), Carbon mono-oxide (in ppm), Nitrogen dioxide (in ppm), and Sulphur dioxide (in ppm). Results have shown that the proposed system worked autonomously for days and optimized the real-time air quality mapping for the chosen geo-spatial cluster, i.e. Qatar University. © 2020 IEEE.Item Energy Efficient Real time Outdoor Air Quality Monitoring System(Institute of Electrical and Electronics Engineers Inc., 2020-06) Abdaoui, Abderrazak; Ahmad, Sabbir H.M.; Tariq, Hasan; Touati, Farid; Mnaouer, Adel Ben; Al-Hitmi, MohammedOutdoor air quality monitoring (OAQM) is of great importance to human health and environment. Engineers and researchers are increasingly focusing their efforts on the design of real-time OAQM systems using wireless sensor networks. This paper presents an OAQM system enabling measurement of CO2, CO, Cl2, ambient temperature, and relative humidity. In our system, remote users usually employ a local gateway to connect wireless sensor nodes to the external world. In this work, the gateway processes the collected air quality data and transmits the useful data to end-users through a web-server. The nodes are self sustainable as they are equipped with a solar panel and a rechargeable Lithim-ion 2W 3.7V battery. © 2020 IEEE.Item Environmentally powered multiparametric wireless sensor node for air quality diagnostic(M Y U Scientific Publishing Division, 2015) Touati, Farid; Legena, Claudio; Galli, Alessio; Crescini, Damiano; Mnaouer, Adel BenSensor 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.Item A real-time gradient aware multi-variable handheld urban scale air quality mapping IoT system(Institute of Electrical and Electronics Engineers Inc., 2020-06) Tariq, Hasan; Abdaoui, Abderrazak; Touati, Farid; Al-Hitmi, Mohammed Abdulla E; Crescini, Damiano; Manouer, Adel BenIn outdoor urban scale air quality mapping, electrochemical sensors warm-up time, cross-sensitivity, geo-location typography, and energy efficiency are major challenges. These challenges lead to real-time gradient anomalies that effect the accuracy and prolonged lags in air quality mapping campaigns for state and environmental/meteorological agencies. In this work, a gradient aware, multi-variable air quality sensing node is proposed with event-triggered sensing based on position, gas magnitudes, and cross-sensitivity interpolation. In this approach, temperature, humidity, pressure, geo-position, photovoltaic power, volatile organic compounds, particulate matter, ozone, Carbon mono-oxide, Nitrogen dioxide, and Sulphur dioxide are the principle variables. Results have shown that the proposed system optimized the real-time air quality mapping for the chosen geo-spatial cluster, i.e. Qatar University. © 2020 IEEE.Item Real-time Gradient-Aware Indigenous AQI Estimation IoT Platform(ASTES Publishers, 2020-12) Tariq, Hasan; Abdaoui, Abderrazak; Touati, Farid; Al Hitmi, Mohammad Abdullah; Crescini, Damiano; Mnaouer, Adel BenEnvironmental monitoring has gained significant importance in outdoor air quality measurement and assessment for fundamental survival as well as ambient assisted living. In real-time outdoor urban scale, instantaneous air quality index estimation, the electrochemical sensors warm-up time, cross-sensitivity computation-error, geo-location typography, instantaneous capacity or back up time; and energy efficiency are the six major challenges. These challenges lead to real-time gradient anomalies that effect the accuracy and pro-longed lags in air quality index mapping campaigns for state and environmental/meteorological agencies. In this work, a gradient-aware, multi-variable air quality sensing node is proposed with event-triggered sensing based on position, gas magnitudes, and cross-sensitivity interpolation. In this approach, temperature, humidity, pressure, geo-position, photovoltaic power, volatile organic compounds, particulate matter (2.5), ozone, Carbon mono-oxide, Nitrogen dioxide, and Sulphur dioxide are the principle variables. Results have shown that the proposed system optimized the real-time air quality monitoring for the chosen geo-spatial cluster (Qatar University). © 2020 ASTES Publishers. All rights reserved.Item Renewable energy-harvested sensor systems for air quality monitoring(Institute of Electrical and Electronics Engineers Inc., 2014) Touati, Farid; Legena, Claudio; Galli, Alessio; Crescini, Damiano; Crescini, Paolo; Mnaouer, Adel BenWireless 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.Item Review - Challenges of mobility aware MAC protocols in WSN(Institute of Electrical and Electronics Engineers Inc., 2018) Sudheendran, Sijo; Bouachir, Ons; Moussa, Sherif; Dahmane, Adel OmarIn today's smart world WSN plays an important role in IoT. The WSN nodes can be used for wildlife, patient, air quality monitoring. WSN consists of numerous sensor nodes that are connected to each other. One of the major concerns of WSN is the mobility of nodes. The mobility of the nodes creates concern to the MAC protocols that's defined for WSN static nodes. Mobile-WSN demands the participated nodes to send packets with a bursty traffic, low energy consumption and reliable connection. MAC protocol is the most important in designing the WSN as MAC plays an important role regarding throughput, mobility, security and energy consumption. This paper gives a review on mobility aware protocols such as M-MAC, MA-MAC, MMH-MAC, M-Contiki, MobiIQ, MobiDisc. © 2018 IEEE.Item A smart rig for calibration of gas sensor nodes: Test and deployment(Institute of Electrical and Electronics Engineers Inc., 2020-06) Abdaoui, Abderrazak; Touati, Farid; Tariq, Hasan; Mnaouer, Adel BenNowadays, large number of sensors are deployed and used for air quality monitoring or in some industries that process hazardous gases. These sensors need periodic calibration to ensure reliable measurements. This paper proposes a dedicated smart calibration rig with a set of novel features enabling complete automation and parallel or batch calibration. The calibration process is completely automated by developing a LabVIEW-based platform that controls the calibration environment for the sensor nodes under test by logging sensor data, generates an updated calibration equation and uploading it to the sensor node for next deployments. The results demonstrate the effectiveness of the sensor calibration rig. © 2020 IEEE.