Predictive Multi-Homed WAN Switching for Vehicle Network Continuity
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Solution Overview
Problem
Existing vehicle networks face issues with network connectivity disruptions due to network holes and inefficient routing protocols, leading to application discontinuity and downtime, especially in mobile environments where traditional solutions like BGP and NAT-based multi-homing fail to provide reliable and scalable redundancy.
Innovation Solution
Implementing a Predictive Multi-Homed WAN Switch (PMHS) with an Intelligent Vehicle Connectivity Analytics (IVCA) gateway to anticipate network holes and perform predictive flow switching, using geographic connectivity maps and real-time measurements to automatically reroute traffic through redundant paths, ensuring continuous application connectivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional routing protocols like BGP and NAT-based multi-homing are used in vehicle networks, then network redundancy is provided, but network connectivity disruptions occur due to network holes and inefficient routing, leading to application discontinuity
Solution Approach 1:
The system performs preliminary actions by pre-establishing multiple provider paths and pre-determining alternate routes before network failures occur. The PMHS maintains ready-to-use alternate paths and can switch traffic flows proactively, avoiding the need for reactive route discovery and establishment after failures, thus eliminating application discontinuity and downtime.
Solution Approach 2:
The PMHS acts as an intermediary device that sits between the vehicle's network infrastructure and multiple service provider networks. It intelligently manages traffic flows across different providers, selecting optimal paths and implementing failover mechanisms that traditional end-host-based solutions cannot provide, thereby ensuring continuous connectivity.
2Reliability
If multiple service provider paths are used for redundancy, then network reliability improves, but the complexity of managing and switching between paths increases
Solution Approach 1:
The PMHS implements self-service capabilities by automatically monitoring the status of multiple provider paths, detecting failures, and switching traffic flows without human intervention. The system autonomously manages the complexity of multi-path routing through automated path selection, health monitoring, and dynamic failover, eliminating the need for complex manual configuration and management.
Solution Approach 2:
The system simplifies path management by changing key parameters such as path selection criteria, switching thresholds, and provider priorities. These parameter adjustments enable the PMHS to adapt to different network conditions and requirements while maintaining manageable complexity through standardized control mechanisms.
3Reliability
If traditional end-host-based multi-homing is implemented, then some redundancy is achieved, but it fails to provide reliable and scalable redundancy in mobile environments
Solution Approach 1:
The PMHS serves as a dedicated intermediary network appliance that provides centralized intelligence for managing connectivity in mobile environments. Unlike end-host-based solutions, the PMHS can maintain persistent connections, manage session state, and coordinate failover across multiple providers, providing reliable and scalable redundancy specifically designed for vehicular networks.
Solution Approach 2:
The invention transitions from end-host-based multi-homing to a network-appliance-based approach, adding a new dimensional layer of network management. This architectural shift enables centralized control, stateful session management, and coordinated failover that are impossible with distributed end-host implementations, thereby achieving reliable redundancy in mobile environments.
Data Source
AI summary
The subject disclosure relates to ways to ensure vehicle network connectivity. In some aspects, a process of the technology includes steps for receiving local network measurement data including one or more connectivity metrics for at least one network provider (e.g., an ISP), and updating a geo-connectivity database using the received local network measurement data. In some aspects, the process can include additional steps for transmitting a geo-connectivity request to a remote Intelligent Vehicle Connectivity Analytics (IVCA) gateway, and for receiving a geo-connectivity reply from the remote IVCA gateway, the geo-connectivity reply including information regarding network availability for the at least one network provider along a vehicle path. Systems and machine-readable media are also provided.