MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641126896 A) filed by V. Naga Meena; M. Bhagya Sri; and Ch. Lakshmi Soujanya on October 24, 2026, for Entropy-Guided Swarm Manifold Diffraction Systems For Proportional Knowledge Emergence In Resource-Bounded Cyber-Physical Dataflows.
Inventors include V. Naga Meena; M. Bhagya Sri; and Ch. Lakshmi Soujanya.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: ABSTRACT [0015] An entropy-guided swarm manifold diffraction system is disclosed for enabling proportional knowledge emergence within resource-bounded cyber-physical dataflows. A plurality of lightweight autonomous agents each embed compact modules for local entropy estimation, dynamic manifold positioning, adaptive diffraction routing, and residual-resource monitoring. Local differential entropy computed from sliding-window sensor readings generates virtual forces that continuously deform a shared sparse mesh, concentrating agents in high-uncertainty regions while evacuating low-uncertainty zones. Information packets are assigned complex amplitudes whose phase fronts are modulated by the same entropy field, producing focused propagation toward residual uncertainty and divergent thinning elsewhere. When remaining energy, memory, or bandwidth falls below soft thresholds, contraction signals simultaneously shrink mesh neighborhoods and attenuate diffraction amplitudes, automatically coarsening knowledge structures so that only the most salient unresolved uncertainty continues to be resolved. The resulting knowledge volume scales proportionally with available resources, extending operational lifetime while preserving informative residual entropy until resources are exhausted. The architecture is realized with ordinary microcontrollers, short-range radios, and modest memory, rendering it practical for remote sensor arrays, autonomous vehicle fleets, and industrial edge networks.
Disclaimer: Curated by HT Syndication.
