Adaptive configuration of lora networks for dense IoT deployments

By Mariusz Słabicki, Gopika Premsankar, Mario Di Francesco. IEEE/IFIP Network Operations and Management Symposium, 2018

301 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/60de65636602d5293ba1234bd73df3082299f463

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Mohamed-Slim Alouini
2. Ingrid Moerman
3. E. De Poorter
4. Jetmir Haxhibeqiri
5. El-Mehdi Amhoud
6. Mohammed Jouhari
7. Nasir Saeed
8. Jeroen Hoebeke

In Computer Networks and Communications

1. Mohamed-Slim Alouini
2. Ingrid Moerman
3. E. De Poorter
4. Jetmir Haxhibeqiri
5. Nasir Saeed
6. Jeroen Hoebeke
7. Khaled Ben Letaief
8. Wei Zhang

In Electrical and Electronic Engineering

1. Mohamed-Slim Alouini
2. Ingrid Moerman
3. E. De Poorter
4. Jetmir Haxhibeqiri
5. El-Mehdi Amhoud
6. Mohammed Jouhari
7. Nasir Saeed
8. Jeroen Hoebeke

Citations in the corpus

• A Survey on Scalable LoRaWAN for Massive IoT: Recent Advances, Potentials, and Challenges (2022, background): “time-variance channel circumstances, therefore, ADR performance will be significantly reduced [64], [65].”
• A Survey of LoRaWAN for IoT: From Technology to Application (2018, methodology): “Authors of [46] proposed an improvement in the current ADR mechanism implemented at the network server side in order to increase network performance.”