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Proceedings ArticleDOI

Energy Harvesting-enabled 5G Advanced Air Pollution Monitoring Device

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TLDR
The developed AAPMD system consumes 10-times less energy while using 5G NB-IoT communication module, which makes it a very competitive candidate for massive deployment in highly polluted metro cities like Delhi and Kolkata, in India.
Abstract
We have designed a 5G-capable environmental sensing network (ESN) node prototype, called Advanced Air Pollution Monitoring Device (AAPMD). The developed prototype system measures concentrations of NO 2 , Ozone, carbon monoxide, and sulphur dioxide using semiconductor sensors. Further, the system gathers other environmental parameters like temperature, humidity, PM 1 , PM 2 . 5 , and PM 10 . The prototype is equipped with a GPS sub-system for accurate geo-tagging. The board communicates through Wi-Fi and NB-IoT. AAPMD is also implemented with energy harvesting power management, and is powered through solar energy and battery backup. Compared to the conventional designs with Wi-Fi-based connectivity, the developed system consumes 10-times less energy while using 5G NB-IoT communication module, which makes it a very competitive candidate for massive deployment in highly polluted metro cities like Delhi and Kolkata, in India. The system can provide updated measurements of pollutant levels with controllable time granularity.

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Journal ArticleDOI

Low-Cost Outdoor Air Quality Monitoring and Sensor Calibration: A Survey and Critical Analysis

TL;DR: In this article, the authors survey the rapidly growing research landscape of low-cost sensor technologies for air quality monitoring and their calibration using machine learning techniques and identify open research challenges and present directions for future research.
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Low-Cost Outdoor Air Quality Monitoring and Sensor Calibration: A Survey and Critical Analysis

TL;DR: The rapidly growing research landscape of low-cost sensor technologies for air quality monitoring and their calibration using machine learning techniques is surveyed and open research challenges are identified and present directions for future research.
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Edge Intelligence Framework for Data-Driven Dynamic Priority Sensing and Transmission

TL;DR: A novel edge intelligence-based data-driven priority-aware sensing and transmission framework that saves up to 41% energy and 32% bandwidth with 68% data accuracy compared to the existing competitive frameworks for non-real-time systems.
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Journey from cloud of things to fog of things: Survey, new trends, and research directions

TL;DR: A state-of-the-art review of Cloud Computing and Cloud of Things (CoT) is presented in this article that addressed the techniques, constraints, limitations, and research challenges.
Journal ArticleDOI

A Low Cost Outdoor Air Pollution Monitoring Device With Power Controlled Built-In PM Sensor

- 01 Jul 2022 - 
TL;DR: In this paper , the authors presented the design of a low cost, innovative Air Pollution Monitoring Device (APMD) along with the evaluation of its advanced features, including an on-board Particulate Matter (PM) sensor and electrochemical sensors.
References
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Proceedings ArticleDOI

Real-time air quality monitoring through mobile sensing in metropolitan areas

TL;DR: A vehicular-based mobile approach for measuring fine-grained air quality in real-time and two cost effective data farming models -- one that can be deployed on public transportation and the second a personal sensing device are proposed.
Journal ArticleDOI

A Mobile GPRS-Sensors Array for Air Pollution Monitoring

TL;DR: An online GPRS-Sensors Array for air pollution monitoring has been designed, implemented, and tested as mentioned in this paper, which consists of a Mobile Data-Acquisition Unit (Mobile-DAQ) and a fixed Internet-enabled Pollution Monitoring Server (Pollution-Server).
Journal ArticleDOI

Internet of Things Mobile–Air Pollution Monitoring System (IoT-Mobair)

TL;DR: A three-phase air pollution monitoring system analogous to Google traffic or the navigation application of Google Maps is proposed, and air quality data can be used to predict future air quality index (AQI) levels.
Proceedings ArticleDOI

Air Quality Monitoring with SensorMap

TL;DR: The mobile air quality monitoring network (MAQUMON) is presented and given a sufficient number of nodes and diverse mobility patterns, a detailed picture of the air quality in a large area will be obtained at a low cost.
Journal ArticleDOI

A survey of energy harvesting communications: models and offline optimal policies

TL;DR: Different methods of harvesting the ambient energy in EH communications are reviewed, a focus on offline optimal policies is focused on, then different policies are compared and classify them into certain types.
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