MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202631043970 A) filed by National Institute Of Technology, Rourkela, Orissa, on April 6, for 'energy-efficient resource allocation system for mobile edge computing.'
Inventor(s) include Sanjeev Patel; and Akanksha Tandon.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an energy-efficient resource allocation system for Mobile Edge Computing (MEC) employing a Hybrid Multi-Objective Optimization framework PS-WOA. The system comprises an input module operatively connected to IoT nodes for receiving real-time workload metrics, a preprocessing unit utilizing Principal Component Analysis with Stochastic Gradient Descent (PCA-SGD) for dimensionality reduction, an optimization controller employing Multi-Objective Evolution (MOE) to generate Pareto-optimal configurations, and a resource allocator using a Low-Complexity Whale Optimization Algorithm (LC-WOA) for final task scheduling. By integrating these components with a closed-loop feedback mechanism, the invention dynamically adapts to workload variations, significantly reducing energy consumption while optimizing execution time, throughput, and scalability in heterogeneous MEC environments."
Disclaimer: Curated by HT Syndication.
