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LoRa Sensor Network Development for Air Quality Monitoring or Detecting Gas Leakage Events

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TLDR
The capability of the system of detecting both reducing and oxidizing pollutant agents, alongside its low-cost, low-power, and real-time monitoring features, makes this a solution suitable to be used in wireless AQM and early warning systems.
Abstract
During the few last years, indoor and outdoor Air Quality Monitoring (AQM) has gained a lot of interest among the scientific community due to its direct relation with human health. The Internet of Things (IoT) and, especially, Wireless Sensor Networks (WSN) have given rise to the development of wireless AQM portable systems. This paper presents the development of a LoRa (short for long-range) based sensor network for AQM and gas leakage events detection. The combination of both a commercial gas sensor and a resistance measurement channel for graphene chemoresistive sensors allows both the calculation of an Air Quality Index based on the concentration of reducing species such as volatile organic compounds (VOCs) and CO, and it also makes possible the detection of NO2, which is an important air pollutant. The graphene sensor tested with the LoRa nodes developed allows the detection of NO2 pollution in just 5 min as well as enables monitoring sudden changes in the background level of this pollutant in the atmosphere. The capability of the system of detecting both reducing and oxidizing pollutant agents, alongside its low-cost, low-power, and real-time monitoring features, makes this a solution suitable to be used in wireless AQM and early warning systems.

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Journal ArticleDOI

Graphene Loading with Polypyrrole Nanoparticles for Trace-Level Detection of Ammonia at Room Temperature.

TL;DR: In this article, a green polypyrrole (PPy) decorating graphene was used for gas-sensing purposes, revealing promising properties for the development of unattended gas sensing networks for monitoring air quality.
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Deep reinforcement learning based transmission policy enforcement and multi-hop routing in QoS aware LoRa IoT networks

TL;DR: In this article, the authors presented transmission policy enforcement and multi-hop routing for QoS-aware LoRa networks (MQ-LoRa), where a hybrid cluster root rotated tree topology is constructed in which gateways follow a tree topological and Internet of Things (IoT) nodes follow a cluster topology.
Journal ArticleDOI

Deep reinforcement learning based transmission policy enforcement and multi-hop routing in QoS aware LoRa IoT networks

TL;DR: In this paper , the authors presented transmission policy enforcement and multi-hop routing for QoS-aware LoRa networks (MQ-LoRa), where a hybrid cluster root rotated tree topology is constructed in which gateways follow a tree topological and Internet of Things (IoT) nodes follow a cluster topology.
Journal ArticleDOI

Involvement of Surveillance Drones in Smart Cities: A Systematic Review

- 01 Jan 2022 - 
TL;DR: In this paper , the authors conducted a systematic review based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to explore the involvement of surveillance drones in smart cities in terms of application status, application areas, proposed models, and characteristics of drones.
Journal ArticleDOI

Involvement of surveillance drones in smart cities: A systematic review

TL;DR: This systematic review of surveillance drones in smart cities in terms of application status, application areas, proposed models, and characteristics showed that surveillance drones were used in seven distinct research fields (transportation, environment, infrastructure, object or people detection, disaster management, data collection, and other applications).
References
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Journal ArticleDOI

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TL;DR: The essential Raman scattering processes of the entire first- and second-order modes in intrinsic graphene are described and the extensive capabilities of Raman spectroscopy for the investigation of the fundamental properties of graphene under external perturbations are described.
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Improving gas sensing properties of graphene by introducing dopants and defects: a first-principles study.

TL;DR: This work reveals that the sensitivity of graphene-based chemical gas sensors could be drastically improved by introducing the appropriate dopant or defect.
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Vibrational modes of carbon nanotubes; Spectroscopy and theory

TL;DR: In this article, the vibrational modes of carbon nanotubes are reviewed and the number of these modes is found to depend on the tubule symmetry and not on the diameter.
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"Metal oxide -based heterostructures for gas sensors"- A review.

TL;DR: This review focuses on the synthesis and chemical sensing characterization of metal oxide heterostructures reported since 2012, showing strong interactions between closely packed interfaces, showing superior performances compared to single structures.
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Internet of Things in arable farming: Implementation, applications, challenges and potential

TL;DR: This review is addressing an analytical survey of the current and potential application of Internet of Things in arable farming, where spatial data, highly varying environments, task diversity and mobile devices pose unique challenges to be overcome compared to other agricultural systems.
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