Dynamic Network Controller Assignment for Mobile Access Points
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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 platform that is always-on, responsive, and adaptable, utilizing mobile access points (OBUs) to provide connectivity and Internet access to mobile and static devices, with a cloud-based service-oriented architecture for management and data processing, and a robust vehicular networking module for long-range communication and data handling.
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 leveraged, but reliable and efficient connectivity cannot be achieved
Solution Approach 1:
The patent implements dynamic network controller assignment where mobile access points can be reassigned to different network controllers based on their movement and network conditions. The system continuously monitors the state of mobile nodes and adapts the controller assignment in real-time, transforming the static network architecture into a dynamic one that can handle both moving and static nodes effectively.
Solution Approach 2:
The system changes the assignment parameter of mobile access points between different network controllers based on monitored conditions. When a mobile access point moves into a new coverage area or when network load changes, the system modifies the controller assignment parameter to maintain optimal connectivity and performance.
2Reliability
If network controllers manage all mobile access points, then centralized control is achieved, but response time and efficiency decrease
Solution Approach 1:
The patent segments the network control function by assigning different mobile access points to different network controllers based on their location and service area. Instead of a single centralized controller managing all mobile nodes, the system divides the control responsibility across multiple controllers, reducing the management burden on each individual controller and improving response time.
Solution Approach 2:
The system introduces a mobility management entity that acts as an intermediary between mobile access points and network controllers. This intermediary handles the assignment and reassignment of mobile access points to appropriate controllers, allowing controllers to focus on their assigned nodes without the overhead of managing the entire network.
3Productivity
If mobile access points frequently switch controllers, then optimal connectivity is maintained, but network instability increases
Solution Approach 1:
The system performs preliminary monitoring and evaluation of mobile access point locations and network conditions before triggering a controller reassignment. By anticipating when a reassignment might be beneficial and preparing in advance, the system avoids reactive switching that could cause instability, and instead performs controlled transitions when conditions warrant them.
Solution Approach 2:
The system continuously monitors network conditions, mobile access point locations, and controller performance, using this feedback to make informed decisions about when to reassign mobile access points. This feedback mechanism prevents unnecessary switching while ensuring reassignments occur when they will improve network performance, thereby maintaining stability while optimizing efficiency.
Data Source
AI summary
Systems and methods for managing network controllers (or mobile controllers) and their network interactions in a network of moving things. As non-limiting examples, various aspects of this disclosure provide systems and methods for assigning and/or adapting the assignment of network controllers to mobile access points (e.g., of autonomous vehicles, manually locally controlled vehicles, remotely controlled vehicles, etc.).