MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541133134 A) filed by Madhankumar C; and Dr Rajesh Singh Shekhawat, Pollachi, Tamil Nadu, on Dec. 29, 2025, for 'ultra-low-power nano-sensor network with self-healing mesh topology for smart biomedical implants.'
Inventor(s) include Dr Rajesh Singh Shekhawat.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "Ultra-Low-Power Nano-Sensor Network with Self-Healing Mesh Topology for Smart Biomedical Implants Abstract The present invention proposes an Ultra-Low-Power Nano-Sensor Network with a Self-Healing Mesh Topology designed specifically for smart biomedical implant applications requiring continuous, reliable, and long-term physiological monitoring. The system comprises a plurality of nano-scale sensor nodes implanted within or attached to biological tissues, each node being equipped with a sensing unit, an ultra-low-power processing module, a short-range wireless communication interface, and an integrated energy harvesting and power management unit. The nano-sensor nodes autonomously form a distributed self organizing mesh network that dynamically adapts to physiological movements, tissue deformation, and node failures by enabling automatic path reconfiguration and data rerouting without external intervention. The invention incorporates energy-aware adaptive routing, intelligent duty cycling, and local event-driven data processing to minimize energy consumption while ensuring uninterrupted data transmission. Multi-modal energy harvesting techniques, including thermoelectric and piezoelectric harvesting from body heat and motion, are employed to extend operational lifetime and reduce dependence on conventional batteries. A central implant gateway aggregates sensor data and securely communicates with external medical monitoring devices using medically safe wireless technologies such as ultra-wideband or magnetic induction communication. Additionally, lightweight on-node intelligence filters redundant or non-critical data, transmitting only clinically relevant information, thereby reducing communication overhead and enhancing system efficiency. The proposed architecture significantly improves reliability, scalability, and longevity compared to existing implantable sensing systems, making it suitable for advanced biomedical implants such as cardiac monitors, neural interfaces, metabolic monitoring systems, and post-operative care devices. The invention ensures robust performance in dynamic biological environments while maintaining strict energy and safety constraints required for implantable medical technologies."
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