Development And Range Testing Of A Lorawan System In An Urban Environment

Harris, Nicholas; Curry, Joshua

doi:10.5281/zenodo.1315517

Cited by 7 publications

(3 citation statements)

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“…With low transmission power and, thus, low power consumption, transmission ranges of up to 10 km can be reached in open areas [ 30 , 31 ]. In the application envisaged here in a densely built-up urban area, ranges of 2–5 km are still possible, so that only a few gateways are required for reception [ 32 ]. The frequency is 863–870 MHz with a bandwidth of up to 11 kbit/s [ 33 ].…”

Section: Resultsmentioning

confidence: 99%

Development of an Inductive Rain Gauge

Clemens

Jobst

Radschun

et al. 2022

Sensors

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Measuring weather data in an urban environment is an important task on the journey towards smart cities. Heavy rain can cause flooding in cities and prevent emergency services from reaching their destination because roads or underpasses are blocked. In order to provide a high-resolution site-specific overview in urban areas during heavy rainfall, a dense measurement network is necessary. To achieve this, a smart low-cost rain gauge is needed. In this paper, the current status of the development of an inductive rain gauge is presented. The sensor is based on the eddy current principle and evaluates the frequency of an electrical resonant circuit. For this purpose, a coil is placed under a metal plate. When raindrops hit the plate, it starts to oscillate, which changes the distance to the coil accordingly and causes changes in the frequency of the resonant circuit. Since the sensor is cost-effective, operates self-sufficiently in terms of energy and transmits data wirelessly via LoRaWAN, it can be used flexibly. This enables dense, area-wide coverage over the urban area of interest. The first experimental investigations show a correlation between the size of the rain droplets and the frequency change. Small droplets cause a shift of about 8 kHz and larger droplets of up to 40 kHz. The results prove that raindrops can be detected and categorized using this measurement principle. These data will be used as a basis for future work on calculating precipitation.

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Section: Resultsmentioning

confidence: 99%

Development of an Inductive Rain Gauge

Clemens

Jobst

Radschun

et al. 2022

Sensors

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“…An analogy can be drawn between gateways and routers in a Wi-Fi network. However, gateways are equipped with a LoRaWAN concentrator, which can take the form of a board that can be connected to embedded devices such as Raspberry Pi [46] or BeagleBone Black [47]. There are also LoRaWAN gateways available on the market, such as those produced by MikroTik (https://mikrotik.com/product/wap_lr8_kit##fndtn -specifications) and Cisco (https://www.cisco.com/c/en/us/products/routers/wireless-gateway-lorawan/index.ht ml).…”

Section: Gatewaymentioning

confidence: 99%

On the Simulation of LoRaWAN Networks: A Focus on Reproducible Parameter Configuration

De Campos,

De Almeida,

Matheus

et al. 2024

Comput. Networks Commun.

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In the past decade, with the rapid proliferation of Internet of Things (IoT) devices new applications have emerged in diverse fields such as agriculture, smart cities, and healthcare. In this context, LoRaWAN, a Low-Power Wide Area Network protocol, has gained significant adoption. Its advantages, including low-power consumption and long-range communication capabilities, make it an ideal solution for IoT communication. Simulation tools have played a crucial role in facilitating experimentation and advancing the implementation of the LoRaWAN protocol. However, effectively modelling these experiments present a significant challenge. Through a comprehensive survey of the literature on LoRaWAN, we have identified variations in parameter configuration among different works and observed a lack of sufficient information in most of them, thereby impeding result reproducibility. This paper offers a comprehensive overview of LoRaWAN technology, encompassing its architecture and underlying technologies such as LoRa and LPWAN. Furthermore, we present and compare the main simulation tools currently available for LoRaWAN, discuss the parameters that significantly impact the performance of a LoRaWAN network, and explore how researchers have configured these parameters to model their simulation experiments.

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“…Finally, unlike the experiments reported along a water canal free of building as well as hills [6], the measurement locations involve diffraction around multiple hills as well as buildings. A previous survey was conducted around the same location in 2017 [12], but only dealt with a single gateway and static RSS values as opposed to observing time variations, which were found in other works to be highly periodic and cannot be fully attributed to specific environmental conditions [13].…”

Section: B Lorawan Rss Measurements Setupmentioning

confidence: 99%

Towards Improved IoT LoRa-WAN Connectivity using Broadband Omnidirectional Antennas

Wagih

Birley

2022

2022 16th European Conference on Antennas and Propagation (EuCAP)

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Despite the growing popularity of Long Range (LoRa) wide area networks (WANs), there is limited research on the antennas' influence on a node's connectivity. In this paper, the channel gain of an 868 MHz LoRa-Wan node in an urban environment is used to evaluate the performance of different antennas, as well as evaluate motion, elevation, and shadowing effects on the nodes connectivity. A dual-transmitter node with two tightly-coupled antennas is utilized to characterize the channel gain between the antenna-under-test, and multiple indoor and outdoor gateways over 1 km away, through the received signal strength indicator (RSSI). It is demonstrated that using a broadband UWB-inspired monopole implemented on an inexpensive cardboard substrate, the channel gain can be improved over commercially available whip antennas.

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Development And Range Testing Of A Lorawan System In An Urban Environment

Cited by 7 publications

References 0 publications

Development of an Inductive Rain Gauge

Development of an Inductive Rain Gauge

On the Simulation of LoRaWAN Networks: A Focus on Reproducible Parameter Configuration

Towards Improved IoT LoRa-WAN Connectivity using Broadband Omnidirectional Antennas

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