| Product | Format | Size | Access | |---------|--------|------|--------| | Catalog (positions, magnitudes) | FITS/CSV | 350 MB | https://doi.org/xx.xxxx/fsdss548 | | Image cutouts (JPEG/PNG) | 10 GB | https://doi.org/xx.xxxx/fsdss548_images | | Spectra (1‑D) | FITS | 2 TB | https://doi.org/xx.xxxx/fsdss548_spec |
Given B‑connectivity of the communication graph and a token hop budget ( H \geq N \cdot B ), the token belief ( \beta_H ) converges almost surely to the exact posterior ( p(\mathbfxt \mid Z1:N) ), where ( Z_1:N ) denotes the union of all measurements up to time ( t ). FSDSS-548
Proof Sketch:
The rapid proliferation of low‑cost autonomous platforms (UAVs, UGVs, UUVs) has catalyzed the development of Swarm‑Based Dynamic Surveillance Systems (SDSS), wherein a collective of agents cooperatively perceives and reacts to dynamic phenomena such as wildfire spread, crowd movement, or maritime intrusion. Traditional centralized fusion pipelines cannot scale to the sheer number of data streams generated by modern swarms, leading to communication congestion, single‑point‑of‑failure risks, and excessive energy consumption. | Product | Format | Size | Access
Recent literature has explored decentralized consensus (e.g., gossip algorithms), hierarchical clustering, and edge‑AI inference. Yet, most approaches either ignore heterogeneity of sensor modalities or sacrifice optimality for scalability. To bridge this gap, we propose FSDSS‑548, a Fusion‑Centric architecture that: Given B‑connectivity of the communication graph and a
Our contributions are threefold: