MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123134 A) filed by Malla Reddy (MR) Deemed to be University; Malla Reddy Engineering College For Womens; Malla Reddy University; Malla Reddy Vishwavidyapeeth; Malla Reddy College Of Engineering And Technology; and Dr B Hari Krishna, Medchal-Malkajgiri, Telangana, on Dec. 6, 2025, for 'edge-based blockchain architecture for autonomous iot devices.'
Inventor(s) include Dr B Hari Krishna; Mrs. K. Geetha Prathibha; Dr. E. Srinivasa Raju; Dr. Syeda Husna Mehanoor; P. Swetha; and Ragam Sanghavi.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "Autonomous IoT devices are to be executed against very dynamic environmental conditions where data needs to be processed quickly and securely without any centralized cloud infrastructures. Traditional blockchain networks possess high integrity and tamper resistance but cannot operate well with high latency and computation overhead, which is not favorable for edge-operated IoT systems which have limited resources. An edge-based blockchain architecture overcomes these challenges by distributing ledger functions, the consensus operations, and the functions for validation across lightweight edge nodes that are in a location nearer to where the devices are. In this framework IoT devices communicate with local edge units performing the functions of localizing block formation, quick validation, and context-aware consensus based on device behavior, environmental, and network stability. Only the finalized summaries or key ledger updates are sent to the higher tier nodes significantly reducing bandwidth requirements. Autonomous IoT units use the ledger on the edge to authenticate their peer devices in order to verify legitimacy of a command and store important sensor outputs in a tamper-resistant structure. Machine learning models at the edge learn how transactions are conducted and using analytics models find anomalies in transaction patterns or look for compromised devices and can prevent any unauthorized interactions before they spread across the network. The architecture enables devices to work more independently and therefore to autonomously make decisions based on trusted local blockchain records. By making the cloud hardware less dependent, the way can enhance the dependency in remote and industrial and resource constrained settings. The distributed, hierarchical design enables an increased scalability on the one hand and the security of data exchange and the real-time operation as a whole on the other hand for large IoT ecosystems."
Disclaimer: Curated by HT Syndication.
