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 An Adaptive Spreading Factor Selection Scheme for a Single Channel LoRa Modem

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1008 ◽  
Author(s):  
Seungku Kim ◽  
Heonkook Lee ◽  
Sungho Jeon
Keyword(s):  
Low Power ◽  
Long Range ◽  
Single Channel ◽  
Wide Area ◽  
Area Network ◽  
Wide Area Network ◽  
Maximum Throughput ◽  
Spreading Factor ◽  
Selection Scheme ◽  
Data Rates

When the low power wide area network (LPWAN) was developed for the internet of things (IoT), it attracted significant attention. LoRa, which is one of the LPWAN technologies, provides low-power and long-range wireless communication using a frequency band under 1 GHz. A long-range wide area network (LoRaWAN) provides a simple star topology network that is not scalable; it supports multi-data rates by adjusting the spreading factor, code rate, and bandwidth. This paper proposes an adaptive spreading factor selection scheme for corresponding spreading factors (SFs) between a transmitter and receiver. The scheme enables the maximum throughput and minimum network cost, using cheap single channel LoRa modules. It provides iterative SF inspection and an SF selection algorithm that allows each link to communicate at independent data rates. We implemented a multi-hop LoRa network and evaluated the performance of experiments in various network topologies. The adaptive spreading factor selection (ASFS) scheme showed outstanding end-to-end throughput, peaking at three times the performance of standalone modems. We expect the ASFS scheme will be a suitable technology for applications requiring high throughput on a multi-hop network.

scholarly journals Sistema de comunicación de respaldo mediante tecnología LoRa con hardware y software abierto para aplicaciones de robótica de emergencias

2021 ◽  
pp. 581-587
Author(s):  
R. F. Manrique Balmaceda ◽  
Ricardo Vázquez-Martín ◽  
J. Bravo Arraba ◽  
Juan Jesús Fernández-Lozano ◽  
Alfonso García-Cerezo
Keyword(s):  
Low Power ◽  
Long Range ◽  
Ad Hoc ◽  
Wide Area ◽  
Area Network ◽  
Wide Area Network ◽  
El Sistema ◽  
La Red

Los sistemas de comunicación entre nodos sensores y los equipos de búsqueda y rescate presentan posibles vulnerabilidades ante emergencias o catástrofes, como el fallo de la infraestructura del sistema o la saturación de la red. Por ello, es necesario evaluar alternativas para garantizar la disponibilidad del sistema y los datos necesarios para la estrategia del equipo. Los requerimientos de una red de largo alcance y bajo consumo apuntan a evaluar las distintas tecnologías que engloban las redes LPWAN (Low Power, Wide Area Network). Entre ellas, destaca el protocolo LoRaWAN (Long Range, Wide Area Network) por ofrecer una flexibilidad operativa que no tienen los demás. De lado del hardware, se realizó una selección de componentes abiertos para los nodos sensores y el gateway. Para conseguir una red ad-hoc se ha usado el proyecto ChirpStack como servidor de red y de aplicación. Finalmente, se ha integrado el software de aplicación QGIS con la base de datos PostgreSQL que almacena los datos en la misma tarjeta host del gateway. El sistema fue probado en las XV Jornadas Internacionales de la Universidad de Málaga sobre Seguridad, Emergencias y Catástrofes. El código y la documentación del sistema presentado en este artículo está disponible en https://github.com/jjflozano/BackUpCommLoRa.

scholarly journals Performance Analysis of Cooperative Low-Power Wide-Area Network for Energy-Efficient B5G Systems

Electronics ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 680
Author(s):  
Chang Seok You ◽  
Jeong Seon Yeom ◽  
Bang Chul Jung
Keyword(s):  
Low Power ◽  
Outage Probability ◽  
Mathematical Analysis ◽  
Low Cost ◽  
Wide Area ◽  
Erlang Distribution ◽  
Area Network ◽  
Diversity Order ◽  
Wide Area Network ◽  
Error Performance

Low-power wide-area networks (LPWANs) have received extensive attention from both academia and industry, since they can efficiently provide massive connectivity to internet of things (IoT) devices in wide geographical areas with low cost and low power consumption. Recently, it was shown that macro-diversity among multiple gateways significantly improves the performance of uplink LPWANs by coherently combining multiple received signals at gateways. We call such networks cooperative LPWANs. In this paper, the error performance of an uplink cooperative LPWAN is mathematically analyzed in terms of outage probability, bit error rate (BER), and diversity order. It is assumed that there exist multiple (two or more) gateways that have multiple antennas and are located at arbitrary positions in the LPWAN area. Each gateway exploits the optimal maximum-ratio combining (MRC) technique to decode the received signal, and then the signals after MRC are delivered to the cloud fusion center for coherent combining in the cooperative LPWAN. The main results, the closed-form expressions of outage probability and BER, were derived by utilizing the hyper-Erlang distribution. Furthermore, the macro-diversity order was mathematically derived. The mathematical analysis was validated through extensive computer simulations. It worth noting that the mathematical analysis of the error performance of cooperative LPWANs is the first theoretical result in the literature to the best of our knowledge.

scholarly journals K-Means Spreading Factor Allocation for Large-Scale LoRa Networks

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4723 ◽  
Author(s):  
Muhammad Asad Ullah ◽  
Junnaid Iqbal ◽  
Arliones Hoeller ◽  
Richard Souza ◽  
Hirley Alves
Keyword(s):  
Low Power ◽  
Long Range ◽  
Large Scale ◽  
Research Work ◽  
Wide Area ◽  
Area Network ◽  
Wide Area Network ◽  
Spreading Factor ◽  
Worst Case ◽  
Simulation Results

Low-power wide-area networks (LPWANs) are emerging rapidly as a fundamental Internet of Things (IoT) technology because of their low-power consumption, long-range connectivity, and ability to support massive numbers of users. With its high growth rate, Long-Range (LoRa) is becoming the most adopted LPWAN technology. This research work contributes to the problem of LoRa spreading factor (SF) allocation by proposing an algorithm on the basis of K-means clustering. We assess the network performance considering the outage probabilities of a large-scale unconfirmed-mode class-A LoRa Wide Area Network (LoRaWAN) model, without retransmissions. The proposed algorithm allows for different user distribution over SFs, thus rendering SF allocation flexible. Such distribution translates into network parameters that are application dependent. Simulation results consider different network scenarios and realistic parameters to illustrate how the distance from the gateway and the number of nodes in each SF affects transmission reliability. Theoretical and simulation results show that our SF allocation approach improves the network’s average coverage probability up to 5 percentage points when compared to the baseline model. Moreover, our results show a fairer network operation where the performance difference between the best- and worst-case nodes is significantly reduced. This happens because our method seeks to equalize the usage of each SF. We show that the worst-case performance in one deployment scenario can be enhanced by 1 . 53 times.

scholarly journals A Long-Range 2.4G Network System and Scheduling Scheme for Aquatic Environmental Monitoring

Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 909 ◽  
Author(s):  
Zheng Zhang ◽  
Shouqi Cao ◽  
Yuntengyao Wang
Keyword(s):  
Low Power ◽  
Environmental Monitoring ◽  
Long Range ◽  
Collision Probability ◽  
Average Lifetime ◽  
Network System ◽  
Area Network ◽  
Wide Area Network ◽  
Coverage Area ◽  
Dual Channel

Wireless communications for applications of inshore fishery and large area aquatic environmental monitoring are really challenging, due to the characteristics of a long monitoring period, large coverage area, and adverse transmission conditions. Recently, LPWAN (low-power wide-area network) became the new solution to address these challenges, due to its long transmission distance and low power consumption of end-nodes. In this paper, we designed a novel network system for aquatic environmental monitoring, based on long-range 2.4G technology, which consisted of a low cost dual-channel gateway and end-nodes. A DMSF (dual-channel multiple spreading factors)–TDMA (time division multiple access) MAC (medium access control) scheme for this system was proposed, which largely reduces the channel collision probability, and improves the real-time for urgent data and the average lifetime of end-nodes. We verified the applicability of the long-range 2.4G technology in an aquatic environment, by point-to-point communication experiments over lake water. The performance evaluation and analysis of DMSF–TDMA is presented through simulations, and comparison with other existing schemes. The results demonstrated the benefit of our proposed scheme, in terms of the packet delivery rate, delay, and energy consumption.

scholarly journals A Systematic Review on Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications

2021 ◽  
Vol 13 (1) ◽  
pp. 338
Author(s):  
Nahla Nurelmadina ◽  
Mohammad Kamrul Hasan ◽  
Imran Memon ◽  
Rashid A. Saeed ◽  
Khairul Akram Zainol Ariffin ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Low Power ◽  
Success Factors ◽  
Low Cost ◽  
Network Connectivity ◽  
Wide Area ◽  
Area Network ◽  
Wide Area Network ◽  
Iot Applications ◽  
Industrial Iot

The Industrial Internet of things (IIoT) helps several applications that require power control and low cost to achieve long life. The progress of IIoT communications, mainly based on cognitive radio (CR), has been guided to the robust network connectivity. The low power communication is achieved for IIoT sensors applying the Low Power Wide Area Network (LPWAN) with the Sigfox, NBIoT, and LoRaWAN technologies. This paper aims to review the various technologies and protocols for industrial IoT applications. A depth of assessment has been achieved by comparing various technologies considering the key terms such as frequency, data rate, power, coverage, mobility, costing, and QoS. This paper provides an assessment of 64 articles published on electricity control problems of IIoT between 2007 and 2020. That prepares a qualitative technique of answering the research questions (RQ): RQ1: “How cognitive radio engage with the industrial IoT?”, RQ2: “What are the Proposed architectures that Support Cognitive Radio LPWAN based IIOT?”, and RQ3: What key success factors need to comply for reliable CIIoT support in the industry?”. With the systematic literature assessment approach, the effects displayed on the cognitive radio in LPWAN can significantly revolute the commercial IIoT. Thus, researchers are more focused in this regard. The study suggests that the essential factors of design need to be considered to conquer the critical research gaps of the existing LPWAN cognitive-enabled IIoT. A cognitive low energy architecture is brought to ensure efficient and stable communications in a heterogeneous IIoT. It will protect the network layer from offering the customers an efficient platform to rent AI, and various LPWAN technology were explored and investigated.

scholarly journals LoRaWAN Network Performance Test

2020 ◽  
Vol 13 (4) ◽  
pp. 268-280
Author(s):  
Istvan Drotar ◽  
Balazs Lukacs ◽  
Miklós Kuczmann
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Low Power ◽  
Network Performance ◽  
Performance Test ◽  
Wide Area ◽  
Wide Area Networks ◽  
Low Power Consumption ◽  
Area Network ◽  
Wide Area Network

There are several types of wireless IoT (Internet of Things) networks based on the connection distance between two communicating devices. For covering wide areas, LPWAN (Low Power Wide Area) networks can provide a good solution. These networks provide big coverage and low power consumption. One of the most popular LPWAN network is LoRaWAN (Long Range Wide Area Network). LoRaWAN networks are ideal for sending infrequent, small messages through long distances. In this article the network’s capacity, coverage and energy consumption have been tested. These are the most important attributes when designing a LoRaWAN network, so it can satisfy the requirements of LPWAN networks.

scholarly journals Cooperative Downlink Listening for Low-Power Long-Range Wide-Area Network

2017 ◽  
Vol 9 (4) ◽  
pp. 627 ◽  
Author(s):  
Byoungwook Kim ◽  
Kwang-il Hwang
Keyword(s):  
Low Power ◽  
Long Range ◽  
Wide Area ◽  
Area Network ◽  
Wide Area Network

scholarly journals A Long-Distance Communication Architecture for Medical Devices Based on LoRaWAN Protocol

Electronics ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 940
Author(s):  
Nicoleta Cristina Gaitan
Keyword(s):  
Energy Consumption ◽  
Long Range ◽  
Medical Devices ◽  
Low Energy ◽  
Area Network ◽  
Wide Area Network ◽  
Long Distance ◽  
Communication Architecture ◽  
Low Energy Consumption ◽  
Distance Communication

Recent market studies show that the market for remote monitoring devices of different medical parameters will grow exponentially. Globally, more than 4 million individuals will be monitored remotely from the perspective of different health parameters by 2023. Of particular importance is the way of remote transmission of the information acquired from the medical sensors. At this time, there are several methods such as Bluetooth, WI-FI, or other wireless communication interfaces. Recently, the communication based on LoRa (Long Range) technology has had an explosive development that allows the transmission of information over long distances with low energy consumption. The implementation of the IoT (Internet of Things) applications using LoRa devices based on open Long Range Wide-Area Network (LoRaWAN) protocol for long distances with low energy consumption can also be used in the medical field. Therefore, in this paper, we proposed and developed a long-distance communication architecture for medical devices based on the LoRaWAN protocol that allows data communications over a distance of more than 10 km.

scholarly journals Smart Monitoring and Controlling of Appliances Using LoRa Based IoT System

Designs ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 17
Author(s):  
Nur-A-Alam ◽  
Mominul Ahsan ◽  
Md. Abdul Based ◽  
Julfikar Haider ◽  
Eduardo M. G. Rodrigues
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Modular Design ◽  
Real Life ◽  
Environmental Data ◽  
Automation System ◽  
Area Network ◽  
Wide Area Network ◽  
Long Distance ◽  
At Home

In the era of Industry 4.0, remote monitoring and controlling appliance/equipment at home, institute, or industry from a long distance with low power consumption remains challenging. At present, some smart phones are being actively used to control appliances at home or institute using Internet of Things (IoT) systems. This paper presents a novel smart automation system using long range (LoRa) technology. The proposed LoRa based system consists of wireless communication system and different types of sensors, operated by a smart phone application and powered by a low-power battery, with an operating range of 3–12 km distance. The system established a connection between an android phone and a microprocessor (ESP32) through Wi-Fi at the sender end. The ESP32 module was connected to a LoRa module. At the receiver end, an ESP32 module and LoRa module without Wi-Fi was employed. Wide Area Network (WAN) communication protocol was used on the LoRa module to provide switching functionality of the targeted area. The performance of the system was evaluated by three real-life case studies through measuring environmental temperature and humidity, detecting fire, and controlling the switching functionality of appliances. Obtaining correct environmental data, fire detection with 90% accuracy, and switching functionality with 92.33% accuracy at a distance up to 12 km demonstrated the high performance of the system. The proposed smart system with modular design proved to be highly effective in controlling and monitoring home appliances from a longer distance with relatively lower power consumption.

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