{"paper":{"title":"Swarm Network-as-a-Service (SNaaS)","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"SNaaS uses drone swarms to compose on-demand connectivity services that adapt to meet SLA latency targets.","cross_cats":["cs.DC"],"primary_cat":"cs.NI","authors_text":"Balsam Alkouz, Basem Shihada, Osama Amin","submitted_at":"2026-05-13T11:00:42Z","abstract_excerpt":"Emerging on-demand connectivity scenarios increasingly require networking solutions with stringent service-level guarantees. We propose Swarm Network-as-a-Service (SNaaS), a service-oriented framework that leverages fleets of drones to provide on-demand connectivity at scale. SNaaS explicitly models drone-to-device and drone-to-drone interactions as composable services, enabling consumers to request connectivity through Service-Level Agreements (SLAs). We formalize atomic and composite SNaaS services, present an SDN-inspired architecture that integrates the service-oriented triad of provider, "},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"Experiments using real air-to-ground measurements show that the framework consistently outperforms fixed compositions, achieving lower latency, fewer SLA violations, and smoother adaptation as load and swarm size increase.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The queuing-theory-based heuristic accurately captures the dynamics of drone-to-device and drone-to-drone interactions under varying loads, and the enforcement module can reconfigure the swarm with negligible overhead and without violating other constraints.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"SNaaS is a drone-swarm service framework that composes atomic services into end-to-end connectivity using direct, clustered, or parallel strategies selected by a queuing heuristic, outperforming fixed setups in latency and SLA compliance.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"SNaaS uses drone swarms to compose on-demand connectivity services that adapt to meet SLA latency targets.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"87ec394144cd33164affcc7a2aba7d812724e6851929291c9da2c9ca42ff97a6"},"source":{"id":"2605.13341","kind":"arxiv","version":1},"verdict":{"id":"81a578fb-6f61-4c25-b56e-385585cae4cb","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-14T20:07:02.219520Z","strongest_claim":"Experiments using real air-to-ground measurements show that the framework consistently outperforms fixed compositions, achieving lower latency, fewer SLA violations, and smoother adaptation as load and swarm size increase.","one_line_summary":"SNaaS is a drone-swarm service framework that composes atomic services into end-to-end connectivity using direct, clustered, or parallel strategies selected by a queuing heuristic, outperforming fixed setups in latency and SLA compliance.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"The queuing-theory-based heuristic accurately captures the dynamics of drone-to-device and drone-to-drone interactions under varying loads, and the enforcement module can reconfigure the swarm with negligible overhead and without violating other constraints.","pith_extraction_headline":"SNaaS uses drone swarms to compose on-demand connectivity services that adapt to meet SLA latency targets."},"references":{"count":41,"sample":[{"doi":"","year":2023,"title":"Cognitive cities: A journey to intelligent urbanism,","work_id":"9e2d8bc1-b0c3-453a-9f52-8dbdf5be3767","ref_index":1,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2020,"title":"What should 6g be?","work_id":"3aab3994-3ec4-41f1-ae21-49a30204e47b","ref_index":2,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2022,"title":"Big communi- cations: Connect the unconnected,","work_id":"a2dd1254-c521-44f0-a09f-2f1dcf81ecd7","ref_index":3,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2023,"title":"Performance of cellular networks on the wheels,","work_id":"45ed372c-428b-4133-895e-e6b341457035","ref_index":4,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2021,"title":"Satellite communi- cations in the new space era: A survey and future challenges,","work_id":"5646874b-7cf9-48b8-94ef-5983c866b4cb","ref_index":5,"cited_arxiv_id":"","is_internal_anchor":false}],"resolved_work":41,"snapshot_sha256":"02e55196592b01758d9dd880b4126a2ee3cfec3ea6612352a7a4360f6ddcba28","internal_anchors":0},"formal_canon":{"evidence_count":2,"snapshot_sha256":"725dd1db9eb9041993d0304c1ef1f125af169b107098671071b9e2b844f31c86"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}