18315210. ENVIRONMENT-BASED DEVICE CONDITION INDICATOR FOR PRIORITIZED DEVICE-CLOUD INTERACTIONS simplified abstract (Microsoft Technology Licensing, LLC)
ENVIRONMENT-BASED DEVICE CONDITION INDICATOR FOR PRIORITIZED DEVICE-CLOUD INTERACTIONS
Organization Name
Microsoft Technology Licensing, LLC
Inventor(s)
Hanumantha Rao Kommalapati of Kirkland WA (US)
Atulya Beheray of Sammamish WA (US)
Arun Mannengal of Sammamish WA (US)
ENVIRONMENT-BASED DEVICE CONDITION INDICATOR FOR PRIORITIZED DEVICE-CLOUD INTERACTIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18315210 titled 'ENVIRONMENT-BASED DEVICE CONDITION INDICATOR FOR PRIORITIZED DEVICE-CLOUD INTERACTIONS
Simplified Explanation
The patent application describes a method to reduce delays in detecting and responding to anomalies in an IoT device.
- Analyzing sensor data collected by the IoT device to evaluate predefined anomaly criteria.
- Dynamically assigning a condition indicator to the IoT device based on the evaluation of the predefined anomaly criteria.
- The condition indicator indicates whether one or more potential anomalies have been detected or not.
- Selectively implementing an IoT event prioritization scheme based on the dynamically-assigned condition indicator.
Potential Applications
- Anomaly detection and response in IoT devices.
- Improving the efficiency and effectiveness of IoT device monitoring and maintenance.
- Enhancing the security and reliability of IoT systems.
Problems Solved
- Reducing latencies in detecting and responding to anomalies in IoT devices.
- Streamlining the process of analyzing sensor data and evaluating anomaly criteria.
- Prioritizing IoT events based on the severity of potential anomalies.
Benefits
- Faster detection and response to anomalies in IoT devices.
- More efficient allocation of resources for monitoring and maintaining IoT systems.
- Enhanced security and reliability of IoT networks.
Original Abstract Submitted
A method for reducing latencies associated with anomaly detection and response in an internet-of-things (IoT) device includes analyzing sensor data collected by the IoT device to evaluate various predefined anomaly criteria and dynamically assigning the IoT device a condition indicator based on the evaluation of the predefined anomaly criteria, where the condition indicator is indicative of detection or non-detection one or more potential anomalies. The method further provides for selectively implementing an IoT event prioritization scheme based on the dynamically-assigned condition indicator.
