Matches in SemOpenAlex for { <https://semopenalex.org/work/W2949662917> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W2949662917 abstract "The massive growth of the Internet of Things (IoT) poses important challenges on providing IoT devices with specific quality of service (QoS) requirements in terms of urgency and reliability over long distances and Long Range Wide Area Network (LoRaWAN). Due to the diversity of these services and the increasing complexity in large scale IoT networks, software defined networking (SDN) alongside network slicing are needed to increase flexibility in managing network slices and providing IoT networks with an optimized parameters configuration. Therefore, we propose in this paper a SDN-based network slicing architecture for LoRaWAN where network slices are virtually deployed and isolated over LoRa physical gateways. Moreover, we aim to improve large scale network configuration by proposing TOPG, a slice-based optimization that improves LoRa parameters configuration based on QoS thresholds of each slice. Simulation results performed over NS3, highlight the utility of the proposed optimization in improving the network performance of LoRa slices in terms of reliability and respecting QoS thresholds in IoT dense deployments." @default.
- W2949662917 created "2019-06-27" @default.
- W2949662917 creator A5017851410 @default.
- W2949662917 creator A5046962022 @default.
- W2949662917 creator A5070401670 @default.
- W2949662917 date "2019-06-01" @default.
- W2949662917 modified "2023-09-25" @default.
- W2949662917 title "Network Slicing Optimization in Large Scale LoRa Wide Area Networks" @default.
- W2949662917 cites W2047400303 @default.
- W2949662917 cites W2207117320 @default.
- W2949662917 cites W2328724333 @default.
- W2949662917 cites W2499400668 @default.
- W2949662917 cites W2537187694 @default.
- W2949662917 cites W2588039227 @default.
- W2949662917 cites W2614897509 @default.
- W2949662917 cites W2616905512 @default.
- W2949662917 cites W2617209552 @default.
- W2949662917 cites W2740100958 @default.
- W2949662917 cites W2743466597 @default.
- W2949662917 cites W2768866304 @default.
- W2949662917 cites W2792562485 @default.
- W2949662917 cites W2797435390 @default.
- W2949662917 cites W2803418695 @default.
- W2949662917 cites W2825630662 @default.
- W2949662917 cites W2893305452 @default.
- W2949662917 cites W2896711313 @default.
- W2949662917 cites W2901928826 @default.
- W2949662917 cites W2914844463 @default.
- W2949662917 cites W2930167775 @default.
- W2949662917 cites W2962796261 @default.
- W2949662917 doi "https://doi.org/10.1109/netsoft.2019.8806711" @default.
- W2949662917 hasPublicationYear "2019" @default.
- W2949662917 type Work @default.
- W2949662917 sameAs 2949662917 @default.
- W2949662917 citedByCount "8" @default.
- W2949662917 countsByYear W29496629172019 @default.
- W2949662917 countsByYear W29496629172020 @default.
- W2949662917 countsByYear W29496629172021 @default.
- W2949662917 countsByYear W29496629172022 @default.
- W2949662917 crossrefType "proceedings-article" @default.
- W2949662917 hasAuthorship W2949662917A5017851410 @default.
- W2949662917 hasAuthorship W2949662917A5046962022 @default.
- W2949662917 hasAuthorship W2949662917A5070401670 @default.
- W2949662917 hasConcept C105795698 @default.
- W2949662917 hasConcept C120314980 @default.
- W2949662917 hasConcept C121332964 @default.
- W2949662917 hasConcept C136764020 @default.
- W2949662917 hasConcept C163258240 @default.
- W2949662917 hasConcept C193415008 @default.
- W2949662917 hasConcept C2776190703 @default.
- W2949662917 hasConcept C2780598303 @default.
- W2949662917 hasConcept C31258907 @default.
- W2949662917 hasConcept C33923547 @default.
- W2949662917 hasConcept C41008148 @default.
- W2949662917 hasConcept C43214815 @default.
- W2949662917 hasConcept C5119721 @default.
- W2949662917 hasConcept C62520636 @default.
- W2949662917 hasConcept C77270119 @default.
- W2949662917 hasConceptScore W2949662917C105795698 @default.
- W2949662917 hasConceptScore W2949662917C120314980 @default.
- W2949662917 hasConceptScore W2949662917C121332964 @default.
- W2949662917 hasConceptScore W2949662917C136764020 @default.
- W2949662917 hasConceptScore W2949662917C163258240 @default.
- W2949662917 hasConceptScore W2949662917C193415008 @default.
- W2949662917 hasConceptScore W2949662917C2776190703 @default.
- W2949662917 hasConceptScore W2949662917C2780598303 @default.
- W2949662917 hasConceptScore W2949662917C31258907 @default.
- W2949662917 hasConceptScore W2949662917C33923547 @default.
- W2949662917 hasConceptScore W2949662917C41008148 @default.
- W2949662917 hasConceptScore W2949662917C43214815 @default.
- W2949662917 hasConceptScore W2949662917C5119721 @default.
- W2949662917 hasConceptScore W2949662917C62520636 @default.
- W2949662917 hasConceptScore W2949662917C77270119 @default.
- W2949662917 hasLocation W29496629171 @default.
- W2949662917 hasLocation W29496629172 @default.
- W2949662917 hasLocation W29496629173 @default.
- W2949662917 hasOpenAccess W2949662917 @default.
- W2949662917 hasPrimaryLocation W29496629171 @default.
- W2949662917 hasRelatedWork W1772332298 @default.
- W2949662917 hasRelatedWork W2014692546 @default.
- W2949662917 hasRelatedWork W2079143021 @default.
- W2949662917 hasRelatedWork W2783384435 @default.
- W2949662917 hasRelatedWork W2899070183 @default.
- W2949662917 hasRelatedWork W2899754551 @default.
- W2949662917 hasRelatedWork W3020243440 @default.
- W2949662917 hasRelatedWork W3090949463 @default.
- W2949662917 hasRelatedWork W3196142762 @default.
- W2949662917 hasRelatedWork W4313054100 @default.
- W2949662917 isParatext "false" @default.
- W2949662917 isRetracted "false" @default.
- W2949662917 magId "2949662917" @default.
- W2949662917 workType "article" @default.