LPWAN Networks for Energy Meters Reading and Monitoring Power Supply Network in Intelligent Buildings

Nowak, Mariusz; Derbis, Piotr; Kurowski, Krzysztof; Różycki, Rafał; Waligóra, Grzegorz

doi:10.3390/en14237924

Cited by 2 publications

(4 citation statements)

References 29 publications

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“…Easy to implement -Implementing a LoRa-based connection is not that difficult at all. Currently, there are ready-made cloud solutions that easily communicate with gateways [63,67,81]. Until now, the biggest platform was TTN (The Things Network) [82], which has recently expanded to TTS (The Things Stack) [83,84] platform.…”

Section: Nb-iotmentioning

confidence: 99%

“…The low-power nature of this communication is influenced by, among other things, adaptive data rate setting and the selection of one of three classes of terminal devices. Adaptive Data Rate (ADR) is a mechanism used in LoRaWAN networks to optimize the transmission rate, which also affects the energy consumption of the network [63,67,81,83,89].…”

Section: Nb-iotmentioning

confidence: 99%

“…In [62] the authors present a simple, practical use of sensor networks communicating in LoRa to collect measurement data and analyze room microclimate. In [67] the authors proposed a system using LoRaWAN to communicate with electricity meters and monitor the power supply network in buildings. In [71] author shows that LPWAN networks can be a good solution for metering systems and remote-control systems in water and wastewater management.…”

Section: B Opportunities For Usementioning

confidence: 99%

“…The LoRaWAN standard allows two-way communication in the unlicensed ISM band, at 868 MHz (for Europe). As a result, the use of LoRa-WAN wireless technology is becoming increasingly popular in solutions for IoT and sensor networks [61,63,67].…”

Section: Network Servers For Lorawan Solutionsmentioning

confidence: 99%

See 3 more Smart Citations

LoRaWAN Communication Implementation Platforms

Szewczyk,

Nowak,

Remlein

et al. 2022

International Journal of Electronics and Telecommunications

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A key role in the development of smart Internet of Things (IoT) solutions is played by wireless communication technologies, especially LPWAN (Low-Power Wide-Area Network), which are becoming increasingly popular due to their advantages: long range, low power consumption and the ability to connect multiple edge devices. However, in addition to the advantages of communication and low power consumption, the security of transmitted data is also important. End devices very often have a small amount of memory, which makes it impossible to implement advanced cryptographic algorithms on them. The article analyzes the advantages and disadvantages of solutions based on LPWAN communication and reviews platforms for IoT device communication in the LoRaWAN (LoRa Wide Area Network) standard in terms of configuration complexity. It describes how to configure an experimental LPWAN system being built at the Department of Computer Science and Telecommunications at Poznan University of Technology for research related to smart buildings.

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Section: Nb-iotmentioning

confidence: 99%

Section: Nb-iotmentioning

confidence: 99%

Section: B Opportunities For Usementioning

confidence: 99%

Section: Network Servers For Lorawan Solutionsmentioning

confidence: 99%

See 2 more Smart Citations

LoRaWAN Communication Implementation Platforms

Szewczyk,

Nowak,

Remlein

et al. 2022

International Journal of Electronics and Telecommunications

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Data Processing with Predictions in LoRaWAN

et al. 2022

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In this paper, the potential to reduce the energy consumption of end devices operating in a LoRaWAN (long-range wide-area network) is studied. An increasing number of IoT components communicating over wireless networks are powered by external sources. Designers of communication systems are concerned with extending the operating time of IoT, hence the need to look for effective methods to reduce power consumption. This article proposes two algorithms to reduce the energy consumption of end devices. The first algorithm is based on the use of a measured value prediction, and the second algorithm optimizes the antenna gain of the end device. Both algorithms have been implemented and tested. The test experiments for reducing energy consumption were conducted independently for the cases with the first algorithm and then for the second algorithm. The possibilities of reducing energy consumption were also investigated for the case when both algorithms work together. The proposed predictive algorithm reduced energy consumption the least. Better results in reducing energy consumption were guaranteed by the algorithm optimizing antenna power. The greatest gain was achieved using both algorithms simultaneously. Tests of the developed algorithms, in laboratory conditions and in conditions with a change in the distance between the end device and the LoRa gateway, confirmed the possibility of reducing energy consumption during the transmission of measurement data in a low-energy wireless LoRaWAN. Reducing electric energy consumption by even a few percent for a single device can result in significant savings on a global scale.

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LPWAN Networks for Energy Meters Reading and Monitoring Power Supply Network in Intelligent Buildings

Cited by 2 publications

References 29 publications

LoRaWAN Communication Implementation Platforms

LoRaWAN Communication Implementation Platforms

Data Processing with Predictions in LoRaWAN

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