Leveraging fairness in LoRaWAN: A novel scheduling scheme for collision avoidance
Author:
Publisher
Elsevier BV
Subject
Computer Networks and Communications
Reference47 articles.
1. Network protocols, schemes, and mechanisms for internet of things (IoT): Features, open challenges, and trends;Triantafyllou;Wirel. Commun. Mob. Comput.,2018
2. M.T. Islam, B. Islam, S. Nirjon, Duty-cycle-aware real-time scheduling of wireless links in low power WANs, in: 2018 14th International Conference on Distributed Computing in Sensor Systems, DCOSS, 2018, pp. 53–60.
3. Performance evaluation of LoRa considering scenario conditions;Sanchez-Iborra;Sensors,2018
4. A.M. Yousuf, E.M. Rochester, B. Ousat, M. Ghaderi, Throughput, coverage and scalability of LoRa LPWAN for Internet of Things, in: 2018 IEEE/ACM 26th International Symposium on Quality of Service, IWQoS, 2018, pp. 1–10.
5. G. Ferre, Collision and packet loss analysis in a LoRaWAN network, in: 2017 25th European Signal Processing Conference, EUSIPCO, 2017, pp. 2586–2590.
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