Matches in SemOpenAlex for { <https://semopenalex.org/work/W2896500950> ?p ?o ?g. }
Showing items 1 to 53 of
53
with 100 items per page.
- W2896500950 abstract "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." @default.
- W2896500950 created "2018-10-26" @default.
- W2896500950 creator A5037889355 @default.
- W2896500950 creator A5064004615 @default.
- W2896500950 creator A5075625448 @default.
- W2896500950 date "2018-11-04" @default.
- W2896500950 modified "2023-09-23" @default.
- W2896500950 title "LoRa Parameter Choice for Minimal Energy Usage" @default.
- W2896500950 cites W1774509104 @default.
- W2896500950 cites W2095720104 @default.
- W2896500950 cites W2243299349 @default.
- W2896500950 cites W2520480241 @default.
- W2896500950 cites W2525332113 @default.
- W2896500950 cites W2597140867 @default.
- W2896500950 cites W2606902731 @default.
- W2896500950 cites W3013283745 @default.
- W2896500950 doi "https://doi.org/10.1145/3277883.3277888" @default.
- W2896500950 hasPublicationYear "2018" @default.
- W2896500950 type Work @default.
- W2896500950 sameAs 2896500950 @default.
- W2896500950 citedByCount "3" @default.
- W2896500950 countsByYear W28965009502019 @default.
- W2896500950 countsByYear W28965009502021 @default.
- W2896500950 countsByYear W28965009502022 @default.
- W2896500950 crossrefType "proceedings-article" @default.
- W2896500950 hasAuthorship W2896500950A5037889355 @default.
- W2896500950 hasAuthorship W2896500950A5064004615 @default.
- W2896500950 hasAuthorship W2896500950A5075625448 @default.
- W2896500950 hasConcept C105795698 @default.
- W2896500950 hasConcept C186370098 @default.
- W2896500950 hasConcept C33923547 @default.
- W2896500950 hasConcept C41008148 @default.
- W2896500950 hasConceptScore W2896500950C105795698 @default.
- W2896500950 hasConceptScore W2896500950C186370098 @default.
- W2896500950 hasConceptScore W2896500950C33923547 @default.
- W2896500950 hasConceptScore W2896500950C41008148 @default.
- W2896500950 hasLocation W28965009501 @default.
- W2896500950 hasOpenAccess W2896500950 @default.
- W2896500950 hasPrimaryLocation W28965009501 @default.
- W2896500950 hasRelatedWork W2093578348 @default.
- W2896500950 hasRelatedWork W2350741829 @default.
- W2896500950 hasRelatedWork W2358668433 @default.
- W2896500950 hasRelatedWork W2376932109 @default.
- W2896500950 hasRelatedWork W2382290278 @default.
- W2896500950 hasRelatedWork W2390279801 @default.
- W2896500950 hasRelatedWork W2748952813 @default.
- W2896500950 hasRelatedWork W2766271392 @default.
- W2896500950 hasRelatedWork W2899084033 @default.
- W2896500950 hasRelatedWork W3004735627 @default.
- W2896500950 isParatext "false" @default.
- W2896500950 isRetracted "false" @default.
- W2896500950 magId "2896500950" @default.
- W2896500950 workType "article" @default.