Project FITPATH: An Adaptive Multipath Selection Mechanism for IoT Video Transmission

IoT video applications such as public transportation, traffic monitoring, parking and surveillance systems in smart cities collect and transmit video over multi-hop wireless network fabrics which are known to be not as reliable and responsive as their wired counterparts. While multipath routing has emerged as an effective strategy to help meet IoT video transmission’s, a key challenge is selecting routes that can dynamically adapt to changing network topology conditions and video traffic characteristics in a timely manner. To address this issue, this project proposes FITPATH, an adaptive multipath selection mechanism for IoT video transmission that uses a heuristic-based iterative optimization approach to estimate in real time the conditions of the underlying network while accounting for the different bitrate requirements of the application video flows. FITPATH’s routing architecture is able to adapt to varying network topology conditions and video traffic characteristics by finding new paths dynamically, resulting in enhanced end user’s quality of experience.

Collaborators

C. Albuquerque, D. Passos, Fabiano Bhering, Katia Obraczka

Publications

Fabiano Bhering, D. Passos, Katia Obraczka, C. Albuquerque, “Network performance estimator with applications to route selection for IoT multimedia applications“, SIMULATION. Mar 2022, pp. 23 – 37 
link to pdf

Fabiano Bhering, D. Passos, L. Ochi, Katia Obraczka, C. Albuquerque, “Wireless multipath video transmission: when IoT video applications meet networking—a survey“, Multimedia Systems. Jan 2022, pp. 831 – 850 
link to pdf

Fabiano Bhering, D. Passos, C. Albuquerque and Katia Obraczka, “Efficient Multipath Selection for IoT Video Transmission“, Proceedings of the 2022 IEEE 11th International Conference on Cloud Networking (CloudNet), Paris, France, 2022, pp. 73-78, doi: 10.1109/CloudNet55617.2022.9978786.

Debora de Oliveira, C. Neves de Albuquerque, D. Passos, Katia Obraczka and Fabiano Bhering, “A Distributed Architecture for Dynamic Multipath Video Routing in Wireless Networks“, Proceedings of the 2024 IEEE Symposium on Computers and Communications (ISCC), Paris, France, 2024, pp. 1-7, doi: 10.1109/ISCC61673.2024.10733693.

Fabiano Bhering, Debora de Oliveira, C. Neves de Albuquerque, D. Passos and Katia Obraczka “An Adaptive Routing Architecture for IoT Multipath Video Transmission“, International Journal of Network Management (2025), doi: 10.1002/nem.70013.

Fabiano Bhering, Debora de Oliveira, C. Neves de Albuquerque, D. Passos and Katia Obraczka , “Adaptive Multipath Selection Mechanism for IoT Video Transmission: Performance Evaluation and Deployment“, Multimedia Tools and Applications (2025), under review.