MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611027418 A) filed by Jk Lakshmipat University, Jaipur, Rajasthan, on March 9, for 'bio-inspired adaptive task offloading system for energy-efficient iot-edge-cloud healthcare continuum.'
Inventor(s) include Dr. Amit Kumar Sinhal; Dr. Arpana Sinhal; Mr. Anay Sinhal; and Dr. Ashish Jain.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a bio-inspired adaptive task offloading system for Internet of Medical Things (IoMT) enabled healthcare networks operating across wearable devices, edge gateways, optional fog nodes, and cloud servers. The system comprises an IoMT perception layer for acquiring patient physiological data, an intelligent edge gateway configured to manage task scheduling, and a cloud analysis layer for long-term analytics and storage. The intelligent edge gateway includes a Criticality Index (CI) module for determining clinical urgency, a cost estimation module for predicting energy consumption, end-to-end latency, and privacy risk for multiple candidate execution nodes, and a bio-inspired metaheuristic scheduler configured to select an execution node using a multi-objective cost function with weights dynamically adjusted based on the CI. A privacy guard applies data protection mechanisms when tasks are executed outside a defined local trust boundary."
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