Metadata Billing in Moving Things Networks
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Solution Overview
Problem
Current communication networks are inadequate for supporting complex arrays of both moving and static nodes, such as in autonomous vehicle networks, failing to provide reliable and efficient connectivity and data management.
Innovation Solution
A dynamically configurable communication network architecture that integrates mobile and static nodes, utilizing a multi-network on-board unit (OBU) with adaptive communication protocols and a Cloud-based service-oriented architecture for real-time management and billing of metadata, enabling flexible and resilient connectivity across various environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current communication networks are used to support complex arrays of moving and static nodes, then existing network infrastructure can be maintained, but reliable and efficient connectivity and data management cannot be achieved
Solution Approach 1:
The patent segments the communication network into multiple hierarchical layers including access network, transport network, and core network. Each layer is independently managed with specific functions, allowing complex network operations to be divided into manageable segments that can be reliably controlled and monitored separately.
Solution Approach 2:
The patent introduces intermediary components such as network controllers, gateway devices, and protocol translators that mediate between moving nodes and static infrastructure. These intermediaries manage the complexity of connectivity between diverse node types while ensuring reliable communication through standardized interfaces and protocols.
2Adaptability or versatility
If a dynamically configurable communication network architecture is implemented, then flexible and resilient connectivity is achieved, but system complexity increases
Solution Approach 1:
The patent implements dynamic network configuration where network parameters, routing paths, and resource allocation can be adjusted in real-time based on traffic conditions, node mobility, and service requirements. This dynamic adaptability allows the network to optimize performance without requiring complete reconfiguration, managing complexity through incremental adjustments.
Solution Approach 2:
The patent designs universal network components and protocols that can handle multiple functions and node types. The same infrastructure and communication protocols serve both moving nodes (vehicles, mobile devices) and static nodes (infrastructure, base stations), reducing overall system complexity through standardized multi-functional elements.
3Productivity
If real-time management and billing of metadata is implemented, then efficient data management is achieved, but processing requirements and energy consumption increase
Solution Approach 1:
The patent implements preliminary action by pre-processing and caching metadata information, billing rules, and network configuration data at edge devices and local controllers. This allows real-time management operations to execute using pre-computed information, reducing the energy required for on-the-fly processing while maintaining efficient data management.
Solution Approach 2:
The patent moves metadata processing and billing functions to a cloud-based dimension, separating real-time network operations from intensive data processing. Local devices handle time-critical functions with minimal energy consumption, while comprehensive metadata analysis and billing calculations are performed in the cloud where substantial processing power is available without constraining mobile device energy resources.
Data Source
AI summary
Systems and methods are provided for billing of metadata in a network of moving things.