MUMBAI, India, Oct. 12 -- Intellectual Property India has published a patent application (202641118599 A) filed by A. K. T Memorial College Of Engineering And Technology on October 05, 2026, for Intelligent Data Communication System With Adaptive Computing Architecture.
Inventors include Dr. Prabakaran M P; Mr. Raju S S; Dr. Anandavalli P; Ms. Sathya M S; Mr. Ravi R; Mrs. Suriya R; Mr. Dinesh K; Mr. Silambarasan A; Mrs. Keerthana A; Mrs. Bhuvaneshwari K; and Mrs. Vanaja J.
The application for the patent was published on October 09, 2026, under issue no. 41/2026.
Abstract: The present invention provides an Intelligent Data Communication System with Adaptive Computing Architecture for efficient, reliable and context-aware data transmitting in dynamic and heterogeneous communication environment. It combines intelligent data sensing, adaptive computing, real-time communication analysis and autonomous resource management to intelligently adapt computation and communication behaviors based on data features and network situations. A data intelligence module processes incoming data according to data priority, data complexity, data urgency, data size and data transmission needs and an adaptive computing controller automatically determines the appropriate processing method, communication channel, computational resources and transmission parameters. It uses predictive intelligence to detect situations of network congestion as well as bandwidth fluctuations, computational load, latency conditions and energy consumption, before starting or varying data transmission. The distributed architecture of the edge processer allows the processing of computationally intensive data in the local area, while lightweight data or non-critical data can be transmitted by optimized communication resources. Furthermore, the system includes an adaptive feedback mechanism for continuous performance assessment of the communication and automatic reconfiguration of the processing and transmission strategies. The invention provides for enhanced efficiency in communications and reduced resource waste, by optimizing data processing, routing, bandwidth use, computational loads, latency, energy usage and Quality of Service, all together. The proposed architecture can be used in IoT networks, edge computing, intelligent sensor networks, smart cities, industrial automation, autonomous systems, intelligent transportation, healthcare communication and next generation wireless communication networks.
Disclaimer: Curated by HT Syndication.
