WiSwarm: Age-of-Information-based Wireless Networking for Collaborative Teams of UAVs

This video showcases experiments for our recent paper entitled "WiSwarm: Age-of-Information-based Wireless Networking for Collaborative Teams of UAVs". The paper will be presented at IEEE INFOCOM 2023 and is available at arxiv.org/abs/....
The Age-of-Information (AoI) metric has been widely studied in the theoretical communication networks and queuing systems literature. However, experimental evaluation of its applicability to complex real-world time-sensitive systems is largely lacking. In this work, we develop, implement, and evaluate an AoI-based application layer middleware that enables the customization of WiFi networks to the needs of time-sensitive applications. By controlling the storage and flow of information in the underlying WiFi network, our middleware can: (i) prevent packet collisions; (ii) discard stale packets that are no longer useful; and (iii) dynamically prioritize the transmission of the most relevant information. To demonstrate the benefits of our middleware, we implement a mobility tracking application using a swarm of UAVs communicating with a central controller via WiFi. Our experimental results show that, when compared to WiFi-UDP/WiFi-TCP, the middleware can improve information freshness by a factor of 109x/48x and tracking accuracy by a factor of 4x/6x, respectively. Most importantly, our results also show that the performance gains of our approach increase as the system scales and/or the traffic load increases.

[@zihaowang-s7q]

hello, what is your drone? where did you buy it?

[@menmalarg3752]

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