Cloud Network Platform for Moving Things Monitoring
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Solution Overview
Problem
Current communication networks are inadequate for supporting complex networks involving both moving and static nodes, such as the Internet of moving things, as they fail to monitor and manage connectivity effectively.
Innovation Solution
A communication network platform that provides always-on, robust, scalable, and secure connectivity to both mobile and static devices, utilizing mobile access points and a Cloud-based service-oriented architecture to monitor and manage network behavior, adapt to environmental conditions, and ensure reliable data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current communication networks are used to support moving and static nodes, then basic connectivity is provided, but monitoring and management of network behavior is inadequate
Solution Approach 1:
The patent introduces cloud-based service-oriented architecture as an intermediary layer between mobile access points and end devices. This intermediary provides centralized monitoring, management, and coordination capabilities without requiring complex modifications to individual network components, thereby improving reliability while managing complexity through abstraction.
Solution Approach 2:
The system implements continuous monitoring of network behavior with feedback loops that enable dynamic adaptation. Mobile access points and cloud services exchange information about network conditions, device locations, and connectivity status, allowing the system to self-optimize and maintain reliable monitoring capabilities.
2Reliability
If mobile access points are deployed to support moving nodes, then connectivity is improved, but energy consumption increases
Solution Approach 1:
The patent implements dynamic operation of mobile access points where devices can transition between active and dormant states based on real-time network conditions, device density, and mobility patterns. This dynamic behavior allows the system to maintain connectivity reliability while minimizing energy consumption during periods of low activity or when fixed infrastructure suffices.
Solution Approach 2:
The system dynamically adjusts operational parameters of mobile access points including transmission power, sampling rates for monitoring, and data transmission frequencies based on environmental conditions, device density, and network load. These parameter changes enable the system to adapt energy consumption to actual needs rather than operating at constant high power.
3Measurement precision
If comprehensive network monitoring is implemented, then network behavior detection is improved, but data processing requirements increase
Solution Approach 1:
The patent divides network monitoring functions into segmented components distributed across mobile access points, edge devices, and cloud services. Different monitoring tasks (location tracking, connectivity monitoring, behavior analysis) are performed at appropriate levels of the hierarchy, with raw data collected locally and processed progressively as it moves through the system, reducing the processing burden at any single point.
Solution Approach 2:
The system performs preliminary data processing and filtering at mobile access points and edge devices before data reaches cloud-based analysis systems. Basic validation, aggregation, and preprocessing of monitoring data occur locally, eliminating redundant data transmission and reducing the complexity of processing required at centralized locations.
Data Source
AI summary
Systems and methods for monitoring a network of moving things. As non-limiting examples, various aspects of this disclosure provide configurable systems and methods for monitoring various operational characteristics of a network of moving things, determining a reporting strategy for the monitored characteristics, and/or implementing the determined reporting strategy.