Global digital transformation initiatives are accelerating, placing immense pressure on industries to extract actionable insights from vast amounts of sensor data. This technology aligns perfectly with the need for robust, scalable, and energy-efficient IoT solutions, enabling companies to reduce operational costs, enhance predictive capabilities, and meet sustainability goals by extending device lifespans. It supports the transition to fully automated and remotely managed industrial ecosystems.
Boosts network data collection efficiency by up to 2x by eliminating redundant transmissions.
Improves data reliability to over 99% by selecting optimal transmission times based on channel gain thresholds.
Decreases node battery consumption by up to 30%, significantly extending maintenance cycles.
This patent provides robust protection across sensor network systems, sinks, nodes, data communication processing methods, and programs. It successfully navigated rigorous examination against five prior art documents and a rejection notice, demonstrating clear differentiation and strong patentability, offering a stable foundation for business development.
While this patent secures efficient data collection and power management, adjacent areas for IP expansion include advanced edge computing for real-time sensor data analytics, novel sensor fusion techniques, and enhanced security protocols for data integrity and privacy within the network.
For large-scale sensor networks, this technology could halve node battery replacement frequency from four to two times annually. This translates to an estimated ~$3.5M (AI est.) in reduced maintenance staff costs (based on 0.5 full-time equivalent across 2 locations) and ~$15K (AI est.) in battery expenses ($6.50/unit for 1000 nodes, 2 replacements). Further optimization of data processing costs by ~$3.5M (AI est.) and communication bandwidth costs by ~$2M (AI est.) is also expected.
X: Data Collection Efficiency
Y: Operational Cost Reduction