{
  "id": 13176,
  "url": "https://link.springer.com/article/10.1007/s10462-026-11654-y",
  "title": "AI-driven multi-tier aerial communication networks: a review of routing, computing, handover, resource management, and optimization techniques",
  "summary": "Multi-tier aerial communication networks (MACNs), integrating satellites, high-altitude platforms, and unmanned aerial vehicles, are emerging as a cornerstone of next-generation global connectivity. Their promise of resilient and ubiquitous coverage, however, is hindered by highly dynamic topologies, severe energy and computational constraints, environment-sensitive channels, diverse quality-of-service requirements, and limited real-world validation. Artificial intelligence (AI) has increasingly",
  "authors": null,
  "category": "research",
  "topics": "environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-23T00:00:00.000Z",
  "fetched_at": "2026-07-25T05:10:48.796Z",
  "source_slug": "x-artificial-intelligence-review",
  "source_name": "Artificial Intelligence Review",
  "source_homepage": "https://link.springer.com/journal/10462",
  "ethics_ai_record_url": "https://ethics.ai/record/13176",
  "original_url": "https://link.springer.com/article/10.1007/s10462-026-11654-y",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}