This comprehensive survey explores the integration of AI with unmanned aerial vehicles (UAVs) to enhance backscatter localization and integrated sensing and communication (ISAC) for zero-energy IoT devices. The paper outlines a structured methodology to categorize network architectures, UAV roles, backscatter modes, and AI techniques used in these systems. It also discusses challenges and future research directions, including realistic channel modeling, energy-neutral operation, and the integration of technologies like RIS, MEC, and 6G. AI
IMPACT This survey highlights how AI and UAVs can improve the efficiency and capabilities of low-power IoT devices, potentially enabling wider adoption of battery-less sensors and communication systems.
RANK_REASON The item is a comprehensive survey paper on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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