Dynamic Network Architecture for Mobile Node Connectivity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current communication networks are inadequate for supporting complex environments with both moving and static nodes, such as the Internet of Moving Things and autonomous vehicle networks, as they fail to provide reliable connectivity, scalability, and energy efficiency.
Innovation Solution
A communication network architecture that is dynamically configurable, comprising a combination of fixed and mobile nodes, with a multi-network on-board unit (OBU) that uses long-range communication protocols and adaptable power management to ensure robust, scalable, and secure connectivity, leveraging cloud-based services for management and data processing.
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 reliability and scalability are insufficient
Solution Approach 1:
The patent implements dynamic network architecture where network nodes can transition between mobile and fixed states. The system dynamically configures network topology, routing protocols, and communication parameters based on real-time node mobility status, thereby achieving both high reliability for moving nodes and scalability for static infrastructure.
Solution Approach 2:
The patent creates a universal communication framework that handles both mobile and fixed nodes through unified protocols and architectures. The network infrastructure serves multiple functions simultaneously: supporting vehicular communication, pedestrian devices, and stationary infrastructure, thereby improving reliability across diverse node types while maintaining adaptability.
2Productivity
If network complexity increases to support more nodes, then scalability improves, but energy consumption increases
Solution Approach 1:
The patent dynamically adjusts communication parameters such as transmission power, data rate, and protocol selection based on network conditions and node mobility. This allows the network to scale to support more nodes while optimizing energy consumption by using lower-power modes when appropriate and higher-performance modes when needed.
Solution Approach 2:
The patent implements periodic monitoring and adjustment of network parameters rather than continuous operation at maximum capacity. Nodes periodically assess network conditions and adjust their communication behavior, enabling scalable network operation with reduced average power consumption compared to continuous high-state operation.
3Use of energy by moving object
If communication protocols are simplified for mobile nodes, then energy efficiency improves, but connectivity reliability deteriorates
Solution Approach 1:
The patent incorporates feedback mechanisms where nodes continuously monitor connection quality, packet loss, and network conditions. Based on this feedback, the system dynamically selects appropriate protocol complexity levels - using simplified protocols when conditions permit (saving energy) and more robust protocols when reliability is compromised (maintaining connection stability).
Solution Approach 2:
The patent implements dynamic protocol selection that adapts to real-time network conditions. The communication protocol complexity is not fixed but changes dynamically based on node mobility, signal quality, and network load, thereby achieving both energy efficiency and reliability through context-aware protocol adaptation.
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). Aspects of the disclosure disclose systems and methods for reliable software update in a network of moving things including, for example, autonomous vehicles.