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In IoT video applications, such as public transportation and traffic monitoring, video is often transmitted over a multi-hop wireless network and has stringent Quality of Service requirements. While multipath routing has been proposed as an effective strategy for supporting this demand, it should select paths that meet the requirements of the driving video application in a timely manner. In this paper, we introduce FITPATH, an efficient and adaptable path selection scheme for multipath routing that can accommodate scenarios where multiple video sources can simultaneously transmit heterogeneous video flows, i.e., flows of different bitrates. FITPATH uses a novel heuristic-based iterative optimization approach that estimates the conditions of the underlying network in real time while accounting for the different bitrate requirements of the application video flows. We show FITPATH outperforms various existing path selection mechanisms both in terms of user QoE and network performance. We also evaluate FITPATH’s convergence to demonstrate that it can be used in practice to quickly generate solutions with adequate video quality while incrementally improving QoE as the algorithm iterates.
Bhering et al. (Mon,) studied this question.