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Analysis of Bidirectional ADR-Enabled Class B LoRaWAN Networks in Industrial Scenarios

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Analysis of Bidirectional ADR-Enabled Class B LoRaWAN Networks in Industrial Scenarios

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dc.contributor.author TODOLI FERRANDIS, DAVID es_ES
dc.contributor.author Silvestre-Blanes, Javier es_ES
dc.contributor.author Sempere Paya, Víctor Miguel es_ES
dc.contributor.author Planes, Ana es_ES
dc.date.accessioned 2021-05-01T03:31:05Z
dc.date.available 2021-05-01T03:31:05Z
dc.date.issued 2020-11 es_ES
dc.identifier.uri http://hdl.handle.net/10251/165835
dc.description.abstract [EN] Low-power wide-area network (LPWAN) technologies are becoming a widespread solution for wireless deployments in many applications, such as smart cities or Industry 4.0. However, there are still challenges to be addressed, such as energy consumption and robustness. To characterize and optimize these types of networks, the authors have developed an optimized use of the adaptative data rate (ADR) mechanism for uplink, proposed its use also for downlink based on the simulator ns-3, and then defined an industrial scenario to test and validate the proposed solution in terms of packet loss and energy. es_ES
dc.description.sponsorship The research leading to these results received funding from the Horizon 2020 Programme of the European Commission under Grant Agreement No. 825631 "Zero Defect Manufacturing Platform (ZDMP)". It was also partially supported by the MCyU (Spanish Ministry of Science and Universities) under the project ATLAS (PGC2018-094151-B-I00). es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Applied Sciences es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject IoT es_ES
dc.subject LPWAN es_ES
dc.subject LoRaWAN es_ES
dc.subject Ns-3 es_ES
dc.subject Adaptive data rate es_ES
dc.subject.classification INGENIERIA TELEMATICA es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title Analysis of Bidirectional ADR-Enabled Class B LoRaWAN Networks in Industrial Scenarios es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/app10227964 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/825631/EU/Zero Defect Manufacturing Platform/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-094151-B-I00/ES/SLICING DINAMICO EN REDES DE ACCESO RADIO 5G/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Todoli Ferrandis, D.; Silvestre-Blanes, J.; Sempere Paya, VM.; Planes, A. (2020). Analysis of Bidirectional ADR-Enabled Class B LoRaWAN Networks in Industrial Scenarios. Applied Sciences. 10(22):1-17. https://doi.org/10.3390/app10227964 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/app10227964 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 17 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 22 es_ES
dc.identifier.eissn 2076-3417 es_ES
dc.relation.pasarela S\421947 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.description.references Ayoub, W., Samhat, A. E., Nouvel, F., Mroue, M., & Prevotet, J.-C. (2019). Internet of Mobile Things: Overview of LoRaWAN, DASH7, and NB-IoT in LPWANs Standards and Supported Mobility. IEEE Communications Surveys & Tutorials, 21(2), 1561-1581. doi:10.1109/comst.2018.2877382 es_ES
dc.description.references Zero Defect Manufacturing Platformhttps://www.zdmp.eu/ es_ES
dc.description.references Finnegan, J., Brown, S., & Farrell, R. (2018). Evaluating the Scalability of LoRaWAN Gateways for Class B Communication in ns-3. 2018 IEEE Conference on Standards for Communications and Networking (CSCN). doi:10.1109/cscn.2018.8581759 es_ES
dc.description.references Luvisotto, M., Tramarin, F., Vangelista, L., & Vitturi, S. (2018). On the Use of LoRaWAN for Indoor Industrial IoT Applications. Wireless Communications and Mobile Computing, 2018, 1-11. doi:10.1155/2018/3982646 es_ES
dc.description.references Kim, S., & Yoo, Y. (2018). Contention-Aware Adaptive Data Rate for Throughput Optimization in LoRaWAN. Sensors, 18(6), 1716. doi:10.3390/s18061716 es_ES
dc.description.references Ta, D.-T., Khawam, K., Lahoud, S., Adjih, C., & Martin, S. (2019). LoRa-MAB: A Flexible Simulator for Decentralized Learning Resource Allocation in IoT Networks. 2019 12th IFIP Wireless and Mobile Networking Conference (WMNC). doi:10.23919/wmnc.2019.8881393 es_ES
dc.description.references Abdelfadeel, K. Q., Cionca, V., & Pesch, D. (2018). Fair Adaptive Data Rate Allocation and Power Control in LoRaWAN. 2018 IEEE 19th International Symposium on «A World of Wireless, Mobile and Multimedia Networks» (WoWMoM). doi:10.1109/wowmom.2018.8449737 es_ES
dc.description.references ns-3 Model Library, Online Resourcehttps://www.nsnam.org/doxygen/classns-3_1_1_hybrid_buildings_propagation_loss_model.html#details es_ES
dc.description.references Code Repositoryhttps://github.com/dtodoli/ns3_lorawan_work es_ES


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