Anomaly Detection in Moving Things Networks
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Solution Overview
Problem
Current communication networks are inadequate for supporting communication environments involving moving networks, particularly in detecting and correcting anomalies in complex arrays of both moving and static nodes, such as the Internet of Moving Things.
Innovation Solution
A fully-operable, always-on, responsive, and secure communication platform that provides connectivity and Internet access to mobile and static things, featuring adaptable systems for anomaly detection, classification, and reporting, with built-in redundancies and self-healing capabilities, utilizing vehicles as Wi-Fi hotspots and a multi-network on-board unit (OBU) with long-range communication protocols and sensors for data collection and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current communication networks are used to support moving networks, then basic connectivity is provided, but anomaly detection and correction capabilities are inadequate
Solution Approach 1:
The system implements self-service through autonomous anomaly detection and classification mechanisms where network nodes automatically monitor themselves and report anomalies without external intervention. The multi-network OBU autonomously detects communication anomalies, classifies them by severity, and triggers appropriate responses, enabling the network to self-diagnose and self-correct issues.
Solution Approach 2:
The patent establishes feedback loops where anomaly detection results are continuously monitored and used to adjust network operations. Classification information about detected anomalies feeds back into the system to improve future detection accuracy and trigger corrective actions, creating a closed-loop control mechanism that enhances reliability through iterative improvement.
2Area of stationary object
If vehicles are used as Wi-Fi hotspots with multi-network OBU, then wireless coverage is expanded, but energy consumption increases
Solution Approach 1:
The system employs periodic action by enabling vehicles to act as Wi-Fi hotspots only during specific periods or conditions when coverage is most needed. The multi-network OBU alternates between active hotspot mode and power-saving mode, providing wireless coverage periodically rather than continuously, thus expanding overall coverage while managing energy consumption through time-based activation patterns.
Solution Approach 2:
The multi-network OBU implements multi-functionality by serving multiple roles: primary communication device, Wi-Fi hotspot, sensor array, and anomaly detection system. This universal design allows a single device to perform diverse functions, reducing the need for separate dedicated components that would increase overall energy consumption while maintaining expanded wireless coverage capabilities.
3Reliability
If anomaly classification and reporting systems are implemented, then network reliability is improved, but processing time increases
Solution Approach 1:
The system applies preliminary action by pre-defining anomaly classification categories and response protocols before anomalies occur. The multi-network OBU is pre-configured with classification schemas and reporting procedures, enabling rapid categorization of detected anomalies without requiring complex real-time analysis, thus improving monitoring accuracy while minimizing processing time through advance preparation.
Solution Approach 2:
The patent segments the anomaly detection and classification process into distinct modular components: detection module, classification module, and reporting module. This segmentation allows each component to operate independently and efficiently, processing anomalies through specialized sub-functions rather than a monolithic system, thereby improving overall accuracy while reducing total processing time through parallelized operations.
Data Source
AI summary
Systems and methods for detecting and classifying anomalies in a network of moving things. As non-limiting examples, various aspects of this disclosure provide configurable and adaptable systems and methods, for example in a network of moving things, for detecting various operational anomalies, classifying such anomalies, and/or reporting such anomalies.