MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641061612 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on May 14, for 'a system and method for adaptive incentive optimization in blockchain-based internet of things networks.'
Inventor(s) include Magesh; and Vijay Anand R.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure proposes a system (100) and method for adaptive incentive optimization and consensus governance in blockchain-enabled Internet of Things (IoT) networks. The system (100) comprises a computing device (102) including a processor (104) and a memory (106) operatively coupled with plurality of modules (110) comprising a data acquisition module (114), a strategy prediction module (116), a payoff generation module (118), an incentive stabilization module (120), a policy optimization module (122), a trust aggregation module (124), a consensus optimization module (126), and a decision module (128). The system dynamically analyzes behavioral information associated with distributed IoT nodes using entropy-based uncertainty estimation, reinforcement learning optimization, evolutionary incentive stabilization, and federated trust aggregation. The system further optimizes validator selection and distributed consensus participation to improve cooperation, malicious node resistance, transaction reliability, scalability, privacy preservation, and operational efficiency across heterogeneous and resource-constrained IoT environments."
Disclaimer: Curated by HT Syndication.
