SOURCE-LINKED INTELLIGENCE
Toward Mission-Critical ISAC: Reliable Energy-Aware Coordination in UAV Swarms
Unmanned aerial vehicle (UAV) swarms deployed in mission-critical applications must simultaneously track a mobile aerial target and maintain reliable data links. However, active integrated sensing and communication (ISAC) operation imposes a dual energy burden on propulsion and transmission, threatening mission continuity through premature battery depletion. In this paper, we propose a two-tier UAV swarm architecture in which mission UAVs (MUAVs) execute cooperative ISAC for mobile aerial target tracking while dedicated charging UAVs (CUAVs), equipped with solar harvesting panels, replenish lo
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-14T08:26:13.000Z
First collected: 2026-09-24T08:32:17.684Z. This is not the publication date.