Abstract | ||
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LoRa (Long Range) is a radio technology that facilitates low power communications over a large distance. The long range of communication means that a simple single hop transmission to a centralised gateway is sufficient for most applications. To supply this performance the LoRa physical layer offers a range of transmission parameters to tailor the capabilities for different applications. With over 6000 parameter combinations it is difficult to select the most efficient combination. Using experimental measurements and simulations we show how to find a parameter set with minimal energy usage for a given situation. Using data from real world deployments we also show that using payload replication with data-aware compression can improve data delivery ratios by 16 to 25% at no or minimal extra energy cost. For energy-sensitive applications low energy LoRa settings and forward error correction give better results than settings that maximise the packet reception ratio.
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Year | DOI | Venue |
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2018 | 10.1145/3277883.3277888 | SenSys '18: The 16th ACM Conference on Embedded Networked Sensor Systems
Shenzhen
China
November, 2018 |
Keywords | DocType | ISBN |
Low Power, Sensor Networks, Adaptive Protocol | Conference | 978-1-4503-6048-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
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Benjamin Dix-Matthews | 1 | 0 | 0.34 |
Rachel Cardell-Oliver | 2 | 271 | 33.25 |
Christof Hübner | 3 | 2 | 1.39 |