MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202511122302 A) filed by K. R. Mangalam University, Gurugram, Haryana, on Dec. 5, 2025, for 'method for ultra-low-power iot sensor transmission using dynamic encoding.'
Inventor(s) include Dr. Rupesh Kumar Tipu; Dr. Digvijay Singh; and Dr Neeraj Kumari.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a method for ultra-low-power IoT sensor transmission using dynamic encoding that adaptively restructures sensor data prior to wireless communication in order to minimize energy consumption in constrained devices. The method includes continuously sensing physical parameters, evaluating the temporal variability and contextual relevance of the sensed data, and dynamically selecting an encoding mode based on real-time assessment of data stability, predictive trends, anomalies, channel conditions, and device energy status. The method integrates lightweight differential encoding, quantization, and predictive encoding pathways that reduce payload size when the sensed data exhibits low informational variance, while switching to full-fidelity encoding during high-importance events. Transmission intervals are adaptively modified according to encoding outcomes to further conserve power. Channel-aware and energy-aware decision layers reduce retransmissions, lower congestion, and improve reliability across large-scale IoT networks. The method is computationally efficient, hardware-agnostic, and capable of significantly extending battery life in distributed IoT sensor deployments."
Disclaimer: Curated by HT Syndication.
