Measurements and Analysis of Large Scale LoRa Network Efficiency

Strzoda, Anna; Grochla, Krzysztof; Frankiewicz, Artur; Łaskarzewski, Zbigniew

doi:10.1109/iwcmc55113.2022.9824317

Cited by 3 publications

(4 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The LoRa transmissions are characterized by high variability of received radio signal strength, which has been shown, e.g. [26] or in our previous work [23]. Additionally, according to [27], there are significant channel gain variations over different LoRa channels.…”

Section: A Distance Functionmentioning

confidence: 60%

“…This section describes the comprehensive large-scale LoRa dataset considered in our research. We have used the data collection from our previous study [23]. The measurements are collected from the commercially-used network infrastructure deployed around 40 km 2 in one of the typical Polish cities.…”

Section: Datasetmentioning

confidence: 99%

“…In the case of applying this solution in different deployments, the path loss should be determined, considering the parameter values specific to given appliances, or a path loss estimation typical for a LoRa networks may be used, which has been estimated in a few research papers, e.g. in [23], [25]. These calculations should be considered to determine new parameters a and b, specific to the network implementation.…”

Section: A Distance Functionmentioning

confidence: 99%

See 2 more Smart Citations

LoRa Positioning in Verification of Location Data’s Credibility

Strzoda¹,

Marjasz²,

Grochla³

2022

Infocommunications journal

View full text Add to dashboard Cite

The LoRa is a novel radio communication technology providing low power and a high range of data transmission. The LoRa transmission may be used for a low-cost localization to estimate the network nodes’ location. Some recent research showed that the location could be found with reasonable accuracy, with median error as low as tens of meters. Still, such results are achieved in a controlled environment with low interferences. We first evaluate the LoRa localization using an extensive data set of a telemetric network of a few thousand devices. We show that although the direct positioning based on trilateration provides limited accuracy, the measurement of LoRa transmission may be successfully used to evaluate the credibility of location information. The information about which gateways received the data and the RSSI measurements allow us to verify if the potential coordinates of a location are accurate. We propose a metric for location verification and estimate its credibility on a sample of measurements from the LoRa telemetry network.

show abstract

Section: A Distance Functionmentioning

confidence: 60%

Section: Datasetmentioning

confidence: 99%

Section: A Distance Functionmentioning

confidence: 99%

See 1 more Smart Citation

LoRa Positioning in Verification of Location Data’s Credibility

Strzoda¹,

Marjasz²,

Grochla³

2022

Infocommunications journal

View full text Add to dashboard Cite

show abstract

“…LoRaWAN is an LPWAN protocol (Low-Power Wide-Area Network), non-proprietary and working on open frequencies, developed precisely to support Internet-of-Things (IoT) communications [55,56]. Since there is growing coverage of LoRaWAN worldwide, it seemed to be a good decision [57]. We used a gateway from a vendor, which also provides its own Network Server.…”

Section: Communications Layermentioning

confidence: 99%

A Prototype for an Intelligent Water Management System for Household Use

Mamede

Neves²,

Martins

et al. 2023

Sensors

View full text Add to dashboard Cite

Water scarcity is becoming an issue of more significant concern with a major impact on global sustainability. For it, new measures and approaches are urgently needed. Digital technologies and tools can play an essential role in improving the effectiveness and efficiency of current water management approaches. Therefore, a solution is proposed and validated, given the limited presence of models or technological architectures in the literature to support intelligent water management systems for domestic use. It is based on a layered architecture, fully designed to meet the needs of households and to do so through the adoption of technologies such as the Internet of Things and cloud computing. By developing a prototype and using it as a use case for testing purposes, we have concluded the positive impact of using such a solution. Considering this is a first contribution to overcome the problem, some issues will be addressed in a future work, namely, data and device security and energy and traffic optimisation issues, among several others.

show abstract