Performance evaluation of Spreading Factors in LoRa networks

Mnguni, SPragasen, MAbu-Mahfouz, Adnan MIAdigun, MZitouni, RPhokeer, AChavula, JElmokashfi, AGueye, ABenamar, N2021-07-132021-07-132021-03Mnguni, S., Pragasen, M., Abu-Mahfouz, A.M. & Adigun, M. 2021. Performance evaluation of Spreading Factors in LoRa networks. In Towards new e-Infrastructure and e-Services for Developing Countries: Lecture notes of the institute for computer sciences, social informatics and telecommunications engineering. R. Zitouni, A. Phokeer, J. Chavula, A. Elmokashfi, A. Gueye & N. Benamar, Eds. S.l.: Springer. http://hdl.handle.net/10204/12055 .978-3-030-70571-8978-3-030-70572-5https://doi.org/10.1007/978-3-030-70572-5_13http://hdl.handle.net/10204/12055LoRa Networks is one of the fast-growing and promising technologies to enable communications for the Internet of Things (IoT) devices on a large scale or long-range communication. Spreading Factors (SF) plays a significant role in enabling multiple long-range receptions of packets with every packet assigned a different spreading factor. Therefore, a change in SF is necessary for improving the data rate for transmission where the link is better and allow LoRa networks to adapt the range trade-off. This work uses FLoRa open source framework for carrying out end-to-end LoRa simulations network in the OMNET++ simulator. In this paper, we investigated the Adaptive Data Rate (ADR) and provided the behaviour of SF and data rate in LoRa wide Are network (LoRaWAN). Some of the findings includes the ability of transmitting data very fast possessed by the low SF no matter the size of the network and high amount of energy consumed by the high SF.FulltextenSpreading FactorsLoRa networksInternet of ThingsIoTGatewaySimulationPerformance evaluation of Spreading Factors in LoRa networksBook ChapterMnguni, S., Pragasen, M., Abu-Mahfouz, A. M., & Adigun, M. (2021). Performance evaluation of Spreading Factors in LoRa networks. In R. Zitouni, A. Phokeer, J. Chavula, A. Elmokashfi, A. Gueye & N. Benamar. (Eds.), Towards new e-Infrastructure and e-Services for Developing Countries: Lecture notes of the institute for computer sciences, social informatics and telecommunications engineering Springer. http://hdl.handle.net/10204/12055Mnguni, S, M Pragasen, Adnan MI Abu-Mahfouz, and M Adigun. "Performance evaluation of Spreading Factors in LoRa networks" In TOWARDS NEW E-INFRASTRUCTURE AND E-SERVICES FOR DEVELOPING COUNTRIES: LECTURE NOTES OF THE INSTITUTE FOR COMPUTER SCIENCES, SOCIAL INFORMATICS AND TELECOMMUNICATIONS ENGINEERING, edited by R Zitouni. n.p.: Springer. 2021. http://hdl.handle.net/10204/12055.Mnguni S, Pragasen M, Abu-Mahfouz AM, Adigun M. Performance evaluation of Spreading Factors in LoRa networks. In Zitouni R, Phokeer A, Chavula J, Elmokashfi A, Gueye A, Benamar N, editors.. Towards new e-Infrastructure and e-Services for Developing Countries: Lecture notes of the institute for computer sciences, social informatics and telecommunications engineering. [place unknown]: Springer; 2021. [cited yyyy month dd]. http://hdl.handle.net/10204/12055.TY - Book Chapter AU - Mnguni, S AU - Pragasen, M AU - Abu-Mahfouz, Adnan MI AU - Adigun, M AB - LoRa Networks is one of the fast-growing and promising technologies to enable communications for the Internet of Things (IoT) devices on a large scale or long-range communication. Spreading Factors (SF) plays a significant role in enabling multiple long-range receptions of packets with every packet assigned a different spreading factor. Therefore, a change in SF is necessary for improving the data rate for transmission where the link is better and allow LoRa networks to adapt the range trade-off. This work uses FLoRa open source framework for carrying out end-to-end LoRa simulations network in the OMNET++ simulator. In this paper, we investigated the Adaptive Data Rate (ADR) and provided the behaviour of SF and data rate in LoRa wide Are network (LoRaWAN). Some of the findings includes the ability of transmitting data very fast possessed by the low SF no matter the size of the network and high amount of energy consumed by the high SF. DA - 2021-03 DB - ResearchSpace DP - CSIR ED - Zitouni, R ED - Phokeer, A ED - Chavula, J ED - Elmokashfi, A ED - Gueye, A ED - Benamar, N J1 - Towards new e-Infrastructure and e-Services for Developing Countries: Lecture notes of the institute for computer sciences, social informatics and telecommunications engineering KW - Spreading Factors KW - LoRa networks KW - Internet of Things KW - IoT KW - Gateway KW - Simulation LK - https://researchspace.csir.co.za PY - 2021 SM - 978-3-030-70571-8 SM - 978-3-030-70572-5 T1 - Performance evaluation of Spreading Factors in LoRa networks TI - Performance evaluation of Spreading Factors in LoRa networks UR - http://hdl.handle.net/10204/12055 ER -24631