Long-Term Performance Studies of a LoRaWAN-Based PM2.5 Application on Campus

Wang, Shie-Yuan; Zou, Ji-Jhe; Chen, Yo-Ru; Hsu, Chih-Yu; Cheng, Yu-Hsiang; Chang, Chia‐Hung

doi:10.1109/vtcspring.2018.8417489

Cited by 14 publications

(13 citation statements)

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“…LoRaWAN defines the communication protocol and the system architecture for the network and uses LoRa as the physical layer. Although there are several recent works on the application of LoRa/LoRaWAN to multiple scenarios [150], only a few of them are focused on the deployment of smart campuses services [66,70,[151][152][153]. For example, the authors of [152] analyze the indoor and outdoor performance of LoRaWAN on a French smart campus.…”

Section: Communications Technologiesmentioning

confidence: 99%

“…For example, the authors of [152] analyze the indoor and outdoor performance of LoRaWAN on a French smart campus. In addition, other researchers [153] proposed a smart campus air quality system whose communications were carried out by LoRaWAN nodes. Another example can be found in [70], where the authors make use of a radio planning simulator to determine the optimal location of LoRaWaN nodes that provide smart campus services in outdoor applications.…”

Section: Communications Technologiesmentioning

confidence: 99%

See 1 more Smart Citation

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

2019

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Smart campuses and smart universities make use of IT infrastructure that is similar to the one required by smart cities, which take advantage of Internet of Things (IoT) and cloud computing solutions to monitor and actuate on the multiple systems of a university. As a consequence, smart campuses and universities need to provide connectivity to IoT nodes and gateways, and deploy architectures that allow for offering not only a good communications range through the latest wireless and wired technologies, but also reduced energy consumption to maximize IoT node battery life. In addition, such architectures have to consider the use of technologies like blockchain, which are able to deliver accountability, transparency, cyber-security and redundancy to the processes and data managed by a university. This article reviews the state of the start on the application of the latest key technologies for the development of smart campuses and universities. After defining the essential characteristics of a smart campus/university, the latest communications architectures and technologies are detailed and the most relevant smart campus deployments are analyzed. Moreover, the use of blockchain in higher education applications is studied. Therefore, this article provides useful guidelines to the university planners, IoT vendors and developers that will be responsible for creating the next generation of smart campuses and universities.

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Section: Communications Technologiesmentioning

confidence: 99%

Section: Communications Technologiesmentioning

confidence: 99%

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

2019

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“…For instance, Loriot et al [63] conducted LoRaWAN measurements in a French campus both outdoors and indoors and showed that the technology can provide good performance over the major part of the campus. Another development is presented in [64], where the authors set up a LoRaWAN-based air quality system in their campus. Other interesting paper is [65], which details the design of a LoRa mesh network system within a campus.…”

Section: Related Workmentioning

confidence: 99%

Design and Experimental Validation of a LoRaWAN Fog Computing Based Architecture for IoT Enabled Smart Campus Applications

Fraga‐Lamas

Celaya-Echarri

López-Iturri

et al. 2019

Sensors

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A smart campus is an intelligent infrastructure where smart sensors and actuators collaborate to collect information and interact with the machines, tools, and users of a university campus. As in a smart city, a smart campus represents a challenging scenario for Internet of Things (IoT) networks, especially in terms of cost, coverage, availability, latency, power consumption, and scalability. The technologies employed so far to cope with such a scenario are not yet able to manage simultaneously all the previously mentioned demanding requirements. Nevertheless, recent paradigms such as fog computing, which extends cloud computing to the edge of a network, make possible low-latency and location-aware IoT applications. Moreover, technologies such as Low-Power Wide-Area Networks (LPWANs) have emerged as a promising solution to provide low-cost and low-power consumption connectivity to nodes spread throughout a wide area. Specifically, the Long-Range Wide-Area Network (LoRaWAN) standard is one of the most recent developments, receiving attention both from industry and academia. In this article, the use of a LoRaWAN fog computing-based architecture is proposed for providing connectivity to IoT nodes deployed in a campus of the University of A Coruña (UDC), Spain. To validate the proposed system, the smart campus has been recreated realistically through an in-house developed 3D Ray-Launching radio-planning simulator that is able to take into consideration even small details, such as traffic lights, vehicles, people, buildings, urban furniture, or vegetation. The developed tool can provide accurate radio propagation estimations within the smart campus scenario in terms of coverage, capacity, and energy efficiency of the network. The results obtained with the planning simulator can then be compared with empirical measurements to assess the operating conditions and the system accuracy. Specifically, this article presents experiments that show the accurate results obtained by the planning simulator in the largest scenario ever built for it (a campus that covers an area of 26,000 m 2 ), which are corroborated with empirical measurements. Then, how the tool can be used to design the deployment of LoRaWAN infrastructure for three smart campus outdoor applications is explained: a mobility pattern detection system, a smart irrigation solution, and a smart traffic-monitoring deployment. Consequently, the presented results provide guidelines to smart campus designers and developers, and for easing LoRaWAN network deployment and research in other smart campuses and large environments such as smart cities.

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“…Many uses cases refer to small geographical areas where WIFI technology is also suitable. Few projects target large geographical areas and require devices to have low energy consumption [6,11]. Existing air quality monitoring systems are using a specific range of sensors to measure various air pollutants but tend to only have one PM sensor and do not use LPWA networks [1,8,12].…”

Section: Introductionmentioning

confidence: 99%

Technical Solution for a Real-Time Air Quality Monitoring System

Simo

Dziţac

Frigura-Iliasa

et al. 2020

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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This article will present a simple technical solution for a low-power and real-time air quality monitoring system. The whole package of software and hardware technical solutions applied for recording, transmitting and analyzing data is briefly described. This original monitoring system integrates a single chip microcon-troller, several dedicated air pollution surveillance sensors (for PM10, PM2.5, SO2, NO2, CO, O3, VOC, CO2), a LoRaWAN communication module and an online platform. This system was tested and applied under real field conditions. Depending on the measured values, it provides alerts, or, it can lead to the re-placement of specific components in the exhaust equipment. This article will pre-sent some experimental results, validated also by official measurements of government operated air quality stations.

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Long-Term Performance Studies of a LoRaWAN-Based PM2.5 Application on Campus

Cited by 14 publications

References 5 publications

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

Design and Experimental Validation of a LoRaWAN Fog Computing Based Architecture for IoT Enabled Smart Campus Applications

Technical Solution for a Real-Time Air Quality Monitoring System

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