Fsdss-548 -
\date \textsuperscript1Department of Astronomy, University X, City, Country\\ \textsuperscript2Institute of Data Science, University Y, City, Country\\ \textsuperscript3Observatory Z, City, Country\\ *Corresponding author: email@domain.com
: At each discrete timestep, the current token holder ( a_i ) selects a neighbor ( a_j ) (randomly or via a utility‑based heuristic) and transmits ( \tau ). FSDSS-548
I can help you search for alternative software solutions or technical products if you provide more details about what the software is supposed to do. Share public link Results demonstrate a 43 % reduction in communication
Swarm‑based Dynamic Surveillance Systems (SDSS) have emerged as a promising paradigm for large‑scale, resilient, and adaptive monitoring of complex environments. However, the integration of heterogeneous sensor modalities across dozens to hundreds of autonomous agents remains a bottleneck, particularly when operating under stringent bandwidth, power, and latency constraints. This paper introduces , a lightweight, hierarchical sensor‑fusion architecture that leverages probabilistic graphical models, edge‑computing primitives, and a novel “fusion‑token” protocol to achieve near‑optimal situational awareness while respecting real‑time constraints. We present a detailed system model, formal proofs of convergence, a suite of simulation experiments, and a hardware‑in‑the‑loop (HIL) validation on a fleet of 48 quadrotor platforms equipped with visual, infrared, acoustic, and LiDAR sensors. Results demonstrate a 43 % reduction in communication overhead , a 27 % improvement in detection latency , and robustness to up to 35 % node failures , outperforming state‑of‑the‑art decentralized fusion baselines. We conclude with a discussion of open research directions, including adaptive token routing, privacy‑preserving fusion, and cross‑domain transfer learning. including adaptive token routing
\titleA Comprehensive Study of FSDSS‑548: [Brief descriptive subtitle] \author First Author\textsuperscript1,*, Second Author\textsuperscript2, Third Author\textsuperscript3
A2: The director is not publicly credited in the work's metadata.
