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The Age-of-Information (AoI) metric has been widely studied in thetheoretical communication networks and queuing systems literature. However,experimental evaluation of its applicability to complex real-worldtime-sensitive systems is largely lacking. In this work, we develop, implement,and evaluate an AoI-based application layer middleware that enables thecustomization of WiFi networks to the needs of time-sensitive applications. Bycontrolling the storage and flow of information in the underlying WiFi network,our middleware can: (i) prevent packet collisions; (ii) discard stale packetsthat are no longer useful; and (iii) dynamically prioritize the transmission ofthe most relevant information. To demonstrate the benefits of our middleware,we implement a mobility tracking application using a swarm of UAVscommunicating with a central controller via WiFi. Our experimental results showthat, when compared to WiFi-UDP/WiFi-TCP, the middleware can improveinformation freshness by a factor of 109x/48x and tracking accuracy by a factorof 4x/6x, respectively. Most importantly, our results also show that theperformance gains of our approach increase as the system scales and/or thetraffic load increases.

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