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Exploiting LoRa, edge, and fog computing for traffic monitoring in smart cities

  • Published:2020 Issue: Volume: Page:347-371
  • ISSN:
  • Container-title:LPWAN Technologies for IoT and M2M Applications
  • language:
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Author:

Nguyen Gia Tuan,Queralta Jorge Peña,Westerlund Tomi

Publisher

Elsevier

Reference60 articles.

1. U. Raza, P. Kulkarni, M. Sooriyabandara, Low power wide area networks: an overview, IEEE Commun. Surv. Tutor. 19 (2017) 855–873.

2. C. Swedberg, IoT aims to track free-ranging reindeer in Finland, in: RFID Journal. , 2019 (accessed 26.06.19).

3. Ahoy Systems, LoRa smart street light solutions. , 2019.

4. The LoRa Alliance Technical Committee. LoRaWAN™ 1.1 Specification, LoRa Alliance, 2017.

5. The Things Network—Coverage. (accessed 03.01.2019).

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1. Fog Computing in Smart Cities: A Systematic Review;2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA);2023-10-10

2. Towards Secure Edge-Based LoRaWAN for Next Generation Wireless Communications;2023 18th Iberian Conference on Information Systems and Technologies (CISTI);2023-06-20

3. A secure drone-to-drone communication and software defined drone network-enabled traffic monitoring system;Simulation Modelling Practice and Theory;2022-11

4. Performance trade offs in IoT-based traffic monitoring and incident detection systems;2022 Symposium on Internet of Things (SIoT);2022-10-24

5. Fog computing enabled air quality monitoring and prediction leveraging deep learning in IoT;Journal of Intelligent & Fuzzy Systems;2022-09-22
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