scholarly journals Low-Cost LoRaWAN Node for Agro-Intelligence IoT

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 987 ◽  
Author(s):  
Antonio Valente ◽  
Sérgio Silva ◽  
Diogo Duarte ◽  
Filipe Cabral Pinto ◽  
Salviano Soares
Keyword(s):  
Low Cost ◽  
Environmental Parameters ◽  
Effective Control ◽  
Area Network ◽  
Wide Area Network ◽  
Lightning Strikes ◽  
Intelligent Sensors ◽  
Increase Productivity ◽  
Smart Agriculture ◽  
Water Tension

Intelligent agriculture in general, but especially when agricultural fields are very heterogeneous, requires a large number of sensors in order to obtain an effective control and thus increase productivity. This need becomes more evident in vineyards on the farms of the demarcated Douro region due to the specificities of the territory and the vineyards themselves. Thus, it is necessary to have low cost sensors which are, essentially, easy to install and maintain. In the present work, a node with these characteristics was developed, which, in addition, is low consumption and communicates wirelessly through a Long Rang Wide Area Network (LoRaWAN) network. To obtain an easy installation, a library of clusters was created for the LoRaWAN network and dedicated to sensors used in agriculture, especially those using an asynchronous serial protocol for intelligent sensors. Three nodes were developed and tested with sensors used in agriculture to measure several environmental parameters (soil and air temperature; wind speed, gust and direction; soil water content, water tension and electrical conductivity; solar radiation; precipitation; atmospheric and vapor pressure; relative humidity; and lightning strikes count). The three nodes send data to a server through an existing gateway on the farm. The data are decoded and sent to an Internet-of-Things analytics platform where it is aggregated, viewed and analyzed. Samples of the data collected are presented. The developed nodes are of small dimensions ( 85 × 65 × 35 m m ), thus making them easy to handle and install. Energy consumption depends on the distance to the gateway, and the number and type of sensors connected to each node. In the implemented cases, the maximum consumption was ≈ 400 μ A . The development of a cluster based library makes the node plug-and-play. The developed nodes will be a great step forward for the use of wireless sensors in smart agriculture in Douro vineyards.

scholarly journals LPWAN-Based Vehicular Monitoring Platform with a Generic IP Network Interface

Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 264 ◽  
Author(s):  
José Santa ◽  
Ramon Sanchez-Iborra ◽  
Pablo Rodriguez-Rey ◽  
Luis Bernal-Escobedo ◽  
Antonio Skarmeta
Keyword(s):  
Low Cost ◽  
Traffic Monitoring ◽  
Wide Area ◽  
Network Interface ◽  
Area Network ◽  
Wide Area Network ◽  
Compression Scheme ◽  
Campus Environment ◽  
Transmission Distance ◽  
Monitoring Platform

Remote vehicle monitoring is a field that has recently attracted the attention of both academia and industry. With the dawn of the Internet of Things (IoT) paradigm, the possibilities for performing this task have multiplied, due to the emergence of low-cost and multi-purpose monitoring devices and the evolution of wireless transmission technologies. Low Power-Wide Area Network (LPWAN) encompasses a set of IoT communication technologies that are gaining momentum, due to their highly valued features regarding transmission distance and end-device energy consumption. For that reason, in this work we present a vehicular monitoring platform enabled by LPWAN-based technology, namely Long Range Wide Area Network (LoRaWAN). Concretely, we explore the end-to-end architecture considering vehicle data retrieving by using an On-Board Diagnostics II (OBD-II) interface, their compression with a novel IETF compression scheme in order to transmit them over the constrained LoRaWAN link, and information visualization through a data server hosted in the cloud, by means of a web-based dashboard. A key advance of the proposal is the design and development of a UNIX-based network interface for LPWAN communications. The whole system has been tested in a university campus environment, showing its capabilities to remotely track vehicle status in real-time. The conducted performance evaluation also shows high levels of reliability in the transmission link, with packet delivery ratios over 95%. The platform boosts the process of monitoring vehicles, enabling a variety of services such as mechanical failure prediction and detection, fleet management, and traffic monitoring, and is extensible to light vehicles with severe power constraints.

scholarly journals Low Cost Circularly Polarized Antenna for IoT Space Applications

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1564
Author(s):  
Le Huy Trinh ◽  
Nguyen Vu Truong ◽  
Fabien Ferrero
Keyword(s):  
Circular Polarization ◽  
Radiation Pattern ◽  
Insertion Loss ◽  
Low Cost ◽  
Total Efficiency ◽  
Area Network ◽  
Wide Area Network ◽  
Space Applications ◽  
Circularly Polarized ◽  
Compact Size

This work presents the use of a three-element radiating structure for circularly polarized Low-Power Wide Area Network (LP-WAN) communication with space. The proposed structure has a 72 mm × 72 mm × 12 mm compact size with Right-Handed Circular Polarization (RHCP) and a 120∘ wide beamwidth radiation pattern. Printed on low-cost FR4 Epoxy substrate, a feeding network circuit based on Quasi Lumped Quadrature Coupler (QLQC), it achieves a −0.6 dB insertion loss and a very compact size. The final structure has a 69% total efficiency and a 3.14 dBic realized gain.

scholarly journals LoRaWAN Mesh Networks: A Review and Classification of Multihop Communication

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4273
Author(s):  
Jeferson Rodrigues Cotrim ◽  
João Henrique Kleinschmidt
Keyword(s):  
Large Scale ◽  
Simulation Analysis ◽  
Mesh Networks ◽  
Smart Cities ◽  
Low Cost ◽  
Wide Area ◽  
Area Network ◽  
Full Potential ◽  
Wide Area Network ◽  
Coverage Area

The growth of the Internet of Things (IoT) led to the deployment of many applications that use wireless networks, like smart cities and smart agriculture. Low Power Wide Area Networks (LPWANs) meet many requirements of IoT, such as energy efficiency, low cost, large coverage area, and large-scale deployment. Long Range Wide Area Network (LoRaWAN) networks are one of the most studied and implemented LPWAN technologies, due to the facility to build private networks with an open standard. Typical LoRaWAN networks are single-hop in a star topology, composed of end-devices that transmit data directly to gateways. Recently, several studies proposed multihop LoRaWAN networks, thus forming wireless mesh networks. This article provides a review of the state-of-the-art multihop proposals for LoRaWAN. In addition, we carried out a comparative analysis and classification, considering technical characteristics, intermediate devices function, and network topologies. This paper also discusses open issues and future directions to realize the full potential of multihop networking. We hope to encourage other researchers to work on improving the performance of LoRaWAN mesh networks, with more theoretical and simulation analysis, as well as practical deployments.

scholarly journals Eco-Efficient Mobility in Smart City Scenarios

2020 ◽  
Vol 12 (20) ◽  
pp. 8443
Author(s):  
Ramon Sanchez-Iborra ◽  
Luis Bernal-Escobedo ◽  
José Santa
Keyword(s):  
Intelligent Transportation Systems ◽  
Smart City ◽  
Smart Cities ◽  
Low Cost ◽  
Transportation Systems ◽  
Area Network ◽  
Wide Area Network ◽  
Fully Integrated ◽  
Personal Mobility ◽  
Traffic Efficiency

Cooperative-Intelligent Transportation Systems (C-ITS) have brought a technological revolution, especially for ground vehicles, in terms of road safety, traffic efficiency, as well as in the experience of drivers and passengers. So far, these advances have been focused on traditional transportation means, leaving aside the new generation of personal vehicles that are nowadays flooding our streets. Together with bicycles and motorcycles, personal mobility devices such as segways or electric scooters are firm sustainable alternatives that represent the future to achieve eco-friendly personal mobility in urban settings. In a near future, smart cities will become hyper-connected spaces where these vehicles should be integrated within the underlying C-ITS ecosystem. In this paper, we provide a wide overview of the opportunities and challenges related to this necessary integration as well as the communication solutions that are already in the market to provide these moving devices with low-cost and efficient connectivity. We also present an On-Board Unit (OBU) prototype with different communication options based on the Low Power Wide Area Network (LPWAN) paradigm and several sensors to gather environmental information to facilitate eco-efficiency services. As the attained results suggest, this module allows personal vehicles to be fully integrated in smart city environments, presenting the possibilities of LoRaWAN and Narrow Band-Internet of Things (NB-IoT) communication technologies to provide vehicle connectivity and enable mobile urban sensing.

scholarly journals An Orthogonal Air Pollution Monitoring Method (OAPM) Based on LoRaWAN

2020 ◽  
Vol 9 (3) ◽  
pp. 42
Author(s):  
Rahim Haiahem ◽  
Pascale Minet ◽  
Selma Boumerdassi ◽  
Leila Azouz Saidane
Keyword(s):  
Air Pollution ◽  
Low Cost ◽  
Pollution Monitoring ◽  
Area Network ◽  
Wide Area Network ◽  
Huge Number ◽  
Monitoring Method ◽  
Air Pollution Monitoring ◽  
Battery Lifetime ◽  
Monitoring Application

High accuracy air pollution monitoring in a smart city requires the deployment of a huge number of sensors in this city. One of the most appropriate wireless technologies expected to support high density deployment is LoRaWAN which belongs to the Low Power Wide Area Network (LPWAN) family and offers long communication range, multi-year battery lifetime and low cost end devices. It has been designed for End Devices (EDs) and applications that need to send small amounts of data a few times per hour. However, a high number of end devices breaks the orthogonality of LoRaWAN transmissions, which was one of the main advantages of LoRaWAN. Hence, network performances are strongly impacted. To solve this problem, we propose a solution called OAPM (Orthogonal Air Pollution Monitoring) which ensures the orthogonality of LoRaWAN transmissions and provides accurate air pollution monitoring. In this paper, we show how to organize EDs into clusters and sub-clusters, assign transmission times to EDs, configurate and synchronize them, taking into account the specificities of LoRaWAN and the features of the air pollution monitoring application. Simulation results corroborate the very good behavior of OAPM.

scholarly journals An Internet of Things (IoT) Application on Volcano Monitoring

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4651 ◽  
Author(s):  
Shadia Awadallah ◽  
David Moure ◽  
Pedro Torres-González
Keyword(s):  
Internet Of Things ◽  
Low Power ◽  
Low Cost ◽  
Thermal Anomaly ◽  
Raspberry Pi ◽  
Area Network ◽  
Wide Area Network ◽  
Volcanic Surveillance ◽  
First Results ◽  
Network Operation

In the last few years, there has been a huge interest in the Internet of Things (hereinafter IoT) field. Among the large number of IoT technologies, the low-power wide-area network (hereinafter LPWAN) has emerged providing low power, low data-rate communication over long distances, enabling battery-operated devices to operate for long time periods. This paper introduces an application of long-range (hereinafter LoRa) technology, one of the most popular LPWANs, to volcanic surveillance. The first low-power and low-cost wireless network based on LoRa to monitor the soil temperature in thermal anomaly zones in volcanic areas has been developed. A total of eight thermometers (end devices) have been deployed on a Teide volcano in Tenerife (Canary Islands). In addition, a repeater device was developed to extend the network range when the gateway did not have a line of sight connection with the thermometers. Combining LoRa communication capabilities with microchip microcontrollers (end devices and repeater) and a Raspberry Pi board (gateway), three main milestones have been achieved: (i) extreme low-power consumption, (ii) real-time and proper temperature acquisition, and (iii) a reliable network operation. The first results are shown. These results provide enough quality for a proper volcanic surveillance.

scholarly journals City Scale Particulate Matter Monitoring Using LoRaWAN Based Air Quality IoT Devices

Sensors ◽  
2019 ◽  
Vol 19 (1) ◽  
pp. 209 ◽  
Author(s):  
Steven J. Johnston ◽  
Philip J. Basford ◽  
Florentin M. J. Bulot ◽  
Mihaela Apetroaie-Cristea ◽  
Natasha H. C. Easton ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Low Cost ◽  
Pilot Project ◽  
Area Network ◽  
Wide Area Network ◽  
Sensor Coverage ◽  
Iot Devices ◽  
The Uk ◽  
The City

Air Quality (AQ) is a very topical issue for many cities and has a direct impact on citizen health. The AQ of a large UK city is being investigated using low-cost Particulate Matter (PM) sensors, and the results obtained by these sensors have been compared with government operated AQ stations. In the first pilot deployment, six AQ Internet of Things (IoT) devices have been designed and built, each with four different low-cost PM sensors, and they have been deployed at two locations within the city. These devices are equipped with LoRaWAN wireless network transceivers to test city scale Low-Power Wide Area Network (LPWAN) coverage. The study concludes that (i) the physical device developed can operate at a city scale; (ii) some low-cost PM sensors are viable for monitoring AQ and for detecting PM trends; (iii) LoRaWAN is suitable for city scale sensor coverage where connectivity is an issue. Based on the findings from this first pilot project, a larger LoRaWAN enabled AQ sensor network is being deployed across the city of Southampton in the UK.

LoRaWAN for an IoT-based environmental monitoring application in Tirana city

2021 ◽  
Author(s):  
Evjola Spaho ◽  
Aleksandër Biberaj ◽  
Ares Tahiraga
Keyword(s):  
Low Power ◽  
Environmental Monitoring ◽  
Long Range ◽  
Low Cost ◽  
Wide Area ◽  
Wide Area Networks ◽  
Area Network ◽  
Wide Area Network ◽  
Long Distance ◽  
Monitoring Application

AbstractRecently, low power wide area networks are attracting a lot of attention by the research community. They are wireless technologies characterized by large coverage area, low bandwidth and long battery life. One of these low power wide area networks technologies, the long range wide area network, can be used for different monitoring applications for health, agriculture, traffic, smart city.In this paper, different simulations and experiments are conducted to implement a low-cost long-range wide area network environmental monitoring application for Tirana city in Albania. Simulation and experimental data are compared and similar results were obtained. In the low-cost implemented system, the gateway can communicate with the sensors placed in strategic positions with long distance covered also using Radio Mobile software.

scholarly journals Overcoming Limitations of LoRa Physical Layer in Image Transmission

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3257 ◽  
Author(s):  
Akram Jebril ◽  
Aduwati Sali ◽  
Alyani Ismail ◽  
Mohd Rasid
Keyword(s):  
Data Transfer ◽  
Low Cost ◽  
Image Transmission ◽  
Image Sensor ◽  
Physical Layer ◽  
Forest Monitoring ◽  
Sensor Data ◽  
Area Network ◽  
Wide Area Network ◽  
The Future

As a possible implementation of a low-power wide-area network (LPWAN), Long Range (LoRa) technology is considered to be the future wireless communication standard for the Internet of Things (IoT) as it offers competitive features, such as a long communication range, low cost, and reduced power consumption, which make it an optimum alternative to the current wireless sensor networks and conventional cellular technologies. However, the limited bandwidth available for physical layer modulation in LoRa makes it unsuitable for high bit rate data transfer from devices like image sensors. In this paper, we propose a new method for mangrove forest monitoring in Malaysia, wherein we transfer image sensor data over the LoRa physical layer (PHY) in a node-to-node network model. In implementing this method, we produce a novel scheme for overcoming the bandwidth limitation of LoRa. With this scheme the images, which requires high data rate to transfer, collected by the sensor are encrypted as hexadecimal data and then split into packets for transfer via the LoRa physical layer (PHY). To assess the quality of images transferred using this scheme, we measured the packet loss rate, peak signal-to-noise ratio (PSNR), and structural similarity (SSIM) index of each image. These measurements verify the proposed scheme for image transmission, and support the industrial and academic trend which promotes LoRa as the future solution for IoT infrastructure.

scholarly journals Smart Public Lighting Control and Measurement System Using LoRa Network

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 124 ◽  
Author(s):  
F. Sánchez Sutil ◽  
Antonio Cano-Ortega
Keyword(s):  
Energy Efficiency ◽  
Long Range ◽  
Smart Cities ◽  
Low Cost ◽  
Dynamic Control ◽  
Easy Access ◽  
Area Network ◽  
Wide Area Network ◽  
Smart Meters ◽  
High Resolution Data

The installation of smart meters in smart cities to monitor streetlights (SLs) provides easy access to measurements of electrical variables and lighting levels, which improves the operation of installation. The use of smart meters in cities requires temporary high-resolution data to improve the energy efficiency (EE) of SLs. Long range (LoRa) is an ideal wireless protocol for use in smart cities due to its low energy consumption, secure communications, and long range indoors and outdoors. For this purpose, we developed a low-cost new system and successfully evaluated it by developing three devices, namely the measure and control device for street lights (MCDSL), lighting level measurement device (LLMD) and gateway LoRa network (GWLN), based on the Arduino open-source electronic platform. This paper describes the hardware and software design and its implementation. Further, an algorithm has been developed to enhance the energy efficiency of public lights using MCDSL, the energy efficiency for street lights (EESL) algorithm, that use the illumination level measured on the same set of SLs with a dynamic control, which assumed different lighting levels throughout the night, and adjusted luminous flux based on the traffic intensity of pedestrians. It sends the acquired data through the LoRa low-power wide-area-network (LPWAN) to the cloud.

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