Onboard Router Network for Dynamic Client Balancing
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Solution Overview
Problem
Existing wireless communication systems for moving vehicles, such as trains, face challenges in maintaining high Quality of Service (QoS) due to uneven client sharing, system overloads, and the need for manual reconfigurations, especially in vehicles with reconfigurable layouts.
Innovation Solution
A wireless communication system that utilizes a plurality of routers with each router analyzing the Media Access Control (MAC) address of connected clients to automatically balance client distribution. This system forms an onboard router network, allowing routers to communicate with each other and dynamically adjust client assignment based on predefined MAC address representations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If multiple routers are used to increase network capacity, then the computer processing capability and cellular bandwidth are improved, but the client distribution becomes unbalanced causing system overloads and degraded QoS
Solution Approach 1:
The system implements automatic client balancing where each router monitors the number of connected clients and dynamically adjusts client assignment. When a router detects an imbalance, it automatically redirects clients to other routers in the network, creating a closed-loop feedback system that maintains balanced load distribution and prevents system overloads while preserving high QoS
Solution Approach 2:
The client balancing system is dynamically adaptive, continuously monitoring network conditions and automatically reconfiguring client assignments in real-time. This dynamic approach allows the system to respond to changing traffic patterns and client distributions without manual intervention, maintaining optimal performance as network conditions evolve
2Reliability
If manual monitoring and control is used to balance data traffic between routers, then even user sharing can be achieved, but the system becomes cumbersome and requires repeated reconfigurations
Solution Approach 1:
The system implements self-service automatic client balancing where routers autonomously monitor their own client loads and perform self-adjustment by redirecting clients to appropriately loaded routers. This eliminates the need for manual monitoring and reconfiguration, as the system automatically maintains balanced client distribution across all routers without human intervention
3Device complexity
If static network configuration is used, then the network structure is simple, but it cannot adapt to reconfigurable vehicle layouts causing isolated sub-networks
Solution Approach 1:
The network configuration is dynamically adaptive, automatically adjusting to changes in vehicle layout and router positions. The system continuously discovers available routers and reconfigures client assignments based on current network topology, allowing seamless adaptation to reconfigurable vehicle layouts without requiring manual network reconfiguration or creating isolated sub-networks
Data Source
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AI summary
A wireless communication system for a moving vehicle, said wireless communication system comprising: a plurality of routers, each router being configured to receive and transmit wireless data communication to and from a stationary communication server outside the moving vehicle through at least one exterior mobile network via at least one antenna; receive and transmit data packets to and from at least one client onboard the moving vehicle; and communicate with every other router in said moving vehicle in order to receive and transmit data packets to and from said every other router, thereby forming an onboard router network. Each router is arranged to receive a media access control address (MAC address) from any client connecting to the onboard router network, and wherein each router is provided with a set of MAC address representations, representing MAC addresses to accept or to ignore, and wherein each router is arranged to analyze said received MAC address and compare it to its set of MAC address representations, and to determine, based on said analysis whether to accept or ignore said client. Hereby, a very efficient and scalable client balancing is obtained, which also provides redundancy.