Mobile Access Points for Dynamic Network Connectivity
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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 and autonomous vehicle networks, as they fail to provide reliable, scalable, and efficient connectivity and data management.
Innovation Solution
A communication network architecture that includes a platform capable of operating in various modalities, such as fixed, mobile, and hybrid configurations, utilizing mobile access points (OBUs) to provide always-on, robust, and scalable connectivity, with adaptive management and routing protocols to ensure data storage, retrieval, and dissemination across a network of moving and static nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current communication networks are used to support networks with moving and static nodes, then existing infrastructure can be utilized, but reliable and efficient connectivity cannot be achieved
Solution Approach 1:
The system implements dynamic network topology adaptation where mobile access points (OBUs) automatically adjust their connectivity roles and data routing based on real-time motion states and network conditions. This allows the network to maintain reliable connectivity despite constant changes in node positions and configurations.
Solution Approach 2:
The communication network architecture is designed to universally support both moving nodes (vehicles, mobile devices) and static nodes (infrastructure elements) through a unified protocol stack and data management system, enabling seamless integration across diverse device types and motion states.
2Loss of information
If data is continuously stored in mobile access points, then data availability is improved, but storage resources are depleted
Solution Approach 1:
The system pre-establishes data caching strategies and routing paths based on predicted motion patterns and network conditions. Data is proactively stored in mobile access points along anticipated routes before actual data transfer needs arise, optimizing both availability and resource utilization.
Solution Approach 2:
The data buffering mechanism implements selective data retention and disposal based on priority levels, motion state changes, and network conditions. High-priority data is retained while lower-priority data is discarded when storage resources are constrained, with automatic recovery of essential data when resources become available.
3Measurement precision
If complex routing protocols are implemented for data management, then data delivery accuracy is improved, but system complexity increases
Solution Approach 1:
The routing protocol is segmented into modular components that operate independently at different network layers. Each module handles specific aspects of data routing (e.g., path selection, data buffering, handover management), reducing overall system complexity while maintaining delivery accuracy through coordinated operation of specialized sub-routines.
Data Source
AI summary
Communication network architectures, systems and methods for supporting a network of mobile nodes. As a non-limiting example, various aspects of this disclosure provide communication network architectures, systems, and methods for supporting a dynamically configurable communication network comprising a complex array of both static and moving communication nodes (e.g., the Internet of moving things). More specifically, systems and methods for managing the storage and dropping of data in a network of moving things.