Dynamic Adaptation Algorithm of LoRa Communication Parameters in Wireless Sensor Networks

LoRa, an acronym for “Long Range” communication protocol, gained great popularity to be used in wireless sensor networks (WSN). The main advantage of this protocol is the reduced energy consumption for long-range data transmission. To make energy consumption more efficient a series of communication parameters must be adapted accordingly. This paper presents a dynamic adaptation algorithm that uses Spreading Factor, Coding Rate, Bandwidth, and Transmission Power to reduce packet errors with minimum energy consumption based on the Received Signal Strength Indicator (RSSI). Tests were made using a point-to-point scenario with a custom wireless sensor node for environmental data acquisition.

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Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1109/siitme63973.2024.10814743
Citations
3
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
0.63
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article

Dynamic Adaptation Algorithm of LoRa Communication Parameters in Wireless Sensor Networks

Rodica Constantinescu, Irina Petra Manciu, Dragoş Ioan Săcăleanu, Lucian Andrei Perişoară et al.
3 citations
IoT Networks and Protocols
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article

Dynamic Adaptation Algorithm of LoRa Communication Parameters in Wireless Sensor Networks

Rodica Constantinescu, Irina Petra Manciu, Dragoş Ioan Săcăleanu, Lucian Andrei Perişoară, ştefan Vlad Nadoleanu
article en
3 citations

Abstract

LoRa, an acronym for “Long Range” communication protocol, gained great popularity to be used in wireless sensor networks (WSN). The main advantage of this protocol is the reduced energy consumption for long-range data transmission. To make energy consumption more efficient a series of communication parameters must be adapted accordingly. This paper presents a dynamic adaptation algorithm that uses Spreading Factor, Coding Rate, Bandwidth, and Transmission Power to reduce packet errors with minimum energy consumption based on the Received Signal Strength Indicator (RSSI). Tests were made using a point-to-point scenario with a custom wireless sensor node for environmental data acquisition.

Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
Affordable and clean energy
Openalex Percentile: Top 30%
IoT Networks and Protocols
0.63
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