Smart City Gnosys

Smart city article details

Title	Optimization Of Spreading Factor Distribution In High Density Lora Networks
ID_Doc	40663
Authors	Emmanuel A.L.; Fernando X.; Hussain F.; Farjow W.
Year	2020
Published	IEEE Vehicular Technology Conference, 2020-May
DOI	http://dx.doi.org/10.1109/VTC2020-Spring48590.2020.9129498
Abstract	LoRa is a promising wireless technology for various sensing and positioning applications in Smart Cities. LoRa uses Chirp Spread Spectrum (CSS) with different Spreading Factors (SF) to handle varying intensities of multipath reflections and interference. However, the standard LoRaWAN uses the pure ALOHA algorithm that suffers from both Intra-SF collisions and Inter-SF collisions which limit it to mostly low density environment. In this work, we optimize the transmission parameters of a LoRaWAN system in high density Smart City traffic environment using golden section search and parabolic interpolation. Our approach of optimum distribution of spreading factors not only significantly improves the success rate, but also enable more nodes to use lower spreading which results in lower delay. © 2020 IEEE.
Author Keywords	Collision; High Density Communications; High Traffic; LoRa; LoRaWAN; Smart City; Spreading Factor

Similar Articles

Id	Similarity	Authors	Title	Published
21412	0.906	Hamdi R.; Qaraqe M.; Althunibat S.	Dynamic Spreading Factor Assignment In Lora Wireless Networks	IEEE International Conference on Communications, 2020-June (2020)
20583	0.902	Chimma C.; Phonphoem A.; Jansang A.; Tangtrongpairoj W.; Jaikaeo C.	Distributed Air-Time Reduction In Multi-Hop Lora Networks With Multiple Spreading Factors	2023 International Conference on Cyber Management and Engineering, CyMaEn 2023 (2023)
24812	0.882	Sagir S.; Kaya I.; Sisman C.; Baltaci Y.; Unal S.	Evaluation Of Low-Power Long Distance Radio Communication In Urban Areas: Lora And Impact Of Spreading Factor	Proceedings - 2019 7th International Conference on Digital Information Processing and Communications, ICDIPC 2019 (2019)
55398	0.872	Fahreja G.H.; Ni’amah K.; Wahyuningrum R.D.	The Effect Of Spreading Factor Value On The Number Of Gateways In The Lorawan Network At Bandung City	Journal of Communications, 18, 12 (2023)
9130	0.87	Karthigaichelvi R.; Balakumar B.	Analysis Of Coverage In Lora Using Secured Iot Systems	E3S Web of Conferences, 399 (2023)
52799	0.861	Li R.; Tang X.; Xie G.	Spreading Factor And Coding Rate Allocation Method For Lora Network	Journal of Physics: Conference Series, 2632, 1 (2023)
6420	0.86	Teves D.E.; Banacia A.	Adjacent Lora-Based Network Analysis For Dense Application	International Symposium on Wireless Personal Multimedia Communications, WPMC, 2021-December (2021)
4970	0.859	Anzum R.; Habaebi M.H.; Islam M.R.; Hakim G.P.N.	A Study Of Lora Signal Propagation In Hilly Suburban Area For Smart City Applications	2021 IEEE 7th International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2021 (2021)
17561	0.858	Jiang J.; Wang H.; Lai G.; Chen X.; Zhang J.; Wang L.	Dcss-Lora: Pushing The Transmission Rate Limits In Lora By Enhancing The Preamble With Dual Chirp	ACM International Conference Proceeding Series (2025)
40842	0.857	Gupta S.H.; Singh A.; Tyagi A.; Jadon J.S.	Optimizing Lpwan Using Particle Swarm For The Smart City	Computational Intelligence in Urban Infrastructure (2023)