Dynamic Network Architecture for Mobile and Fixed Nodes
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Solution Overview
Problem
Current communication networks are inadequate in supporting complex arrays of both moving and static nodes, such as those found in the Internet of Moving Things and autonomous vehicle networks, due to limitations in flexibility and adaptability.
Innovation Solution
A communication network architecture that is dynamically configurable, comprising a combination of fixed and mobile nodes, which can adapt to various environments by selecting different system goals such as increased throughput, reduced latency, and enhanced security, using a multi-network on-board unit (OBU) that connects vehicles to wired infrastructure and other vehicles, forming a mesh of communication links.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current communication networks are used to support complex arrays of moving and static nodes, then basic connectivity is maintained, but flexibility and adaptability are insufficient
Solution Approach 1:
The patent implements dynamic operation modes that allow network nodes to switch between different operational states (fixed mode, mobile mode, mesh mode, star mode) based on real-time network conditions and requirements. This dynamic adaptability enables the network to optimize performance for different scenarios while maintaining manageable complexity through standardized mode transitions.
Solution Approach 2:
The patent creates a universal communication architecture where nodes can perform multiple functions by adopting different operation modes. The same hardware infrastructure supports fixed and mobile operations, mesh and star topologies, enabling a single system to serve diverse communication needs without requiring separate specialized networks.
2Adaptability or versatility
If the network supports both fixed and mobile nodes with dynamic configuration, then adaptability improves, but system complexity increases
Solution Approach 1:
The system dynamically adjusts operation modes based on environmental conditions, node mobility status, and network requirements. Nodes can transition between fixed and mobile modes, and between mesh and star topologies, allowing the network to adapt to changing environments without manual reconfiguration, thus managing complexity through automation.
Solution Approach 2:
The patent changes key operational parameters such as node mobility status, communication topology, and data transmission protocols based on environmental conditions. By adjusting these parameters dynamically, the system achieves environmental adaptability while keeping the underlying hardware architecture relatively simple and standardized.
3Productivity
If dynamic mode selection is implemented for different system goals, then performance optimization improves, but control complexity increases
Solution Approach 1:
The system implements dynamic mode selection where nodes can switch between operation modes (fixed/mobile) and topologies (mesh/star) based on real-time performance requirements. This dynamic control enables optimization of throughput and latency for different applications while using standardized mode transition protocols to manage control complexity.
Solution Approach 2:
The patent optimizes performance by changing operational parameters such as data transmission protocols, node roles, and communication paths based on system goals. For example, switching to mesh mode for high throughput requirements or star mode for low latency scenarios, with automated parameter adjustment to keep control mechanisms manageable.
4Reliability
If robust connectivity is provided to all mobile and static things, then network reliability improves, but power consumption increases
Solution Approach 1:
The system dynamically adjusts connectivity maintenance based on node mobility status and network requirements. Fixed nodes maintain continuous robust connections, while mobile nodes adjust their connection frequency and strength based on movement patterns and criticality of communication, optimizing the balance between reliability and power consumption.
Solution Approach 2:
The patent changes connectivity parameters such as transmission power, connection frequency, and data sampling rates based on whether nodes are mobile or static and their current network role. This parameter adjustment ensures reliable connectivity when needed while reducing power consumption during periods of lower criticality or when nodes are mobile and continuous connection is less feasible.
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 dynamically re-configurable and adaptable network devices in a communication network comprising a complex array of both static and moving communication nodes (e.g., the Internet of moving things).