MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641122876 A) filed by Mrs. M. Pravarsha Reddy; Mrs. J. Ashwini Reddy; Mrs. Cherukupally Saritha; and Mrs. Errabelli Radhika on October 14, 2026, for Iot-Driven Mobile Network Anomaly Detection And Automated Complaint Registration System With Predictive Analytics.
Inventors include Mrs. M. Pravarsha Reddy; Mrs. J. Ashwini Reddy; Mrs. Cherukupally Saritha; and Mrs. Errabelli Radhika.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: 11. ABSTRACT A system and method for automatically detecting and reporting mobile network service degradation is disclosed. An IoT sensing module continuously captures network parameters such as signal strength, call drops, and latency, tagged with location and time, without requiring action from the user. A predictive analytics engine compares this data against a trained historical baseline and regulatory benchmarks to compute a confidence score distinguishing genuine, sustained degradation from ordinary fluctuation. When a genuine fault is identified, a decision engine automatically assembles a structured complaint record and submits it, via API, to the telecom operator and/or regulator, without manual drafting. A BLE mesh relay and an SMS-based fallback channel keep the pipeline functional without direct cellular or internet connectivity, and an AI-driven clustering module correlates reports from nearby devices to distinguish a shared outage from an isolated fault. A coverage database built from aggregated readings and a user-facing notification and status dashboard complete an automated pipeline running from raw signal data to a filed, evidence-backed complaint.
Disclaimer: Curated by HT Syndication.
