Dynamic Data Routing and Replication for Mobile Networks
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Solution Overview
Problem
Current communication networks are inadequate in 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 architecture that includes a platform capable of being dynamically configurable, with mobile and static nodes, utilizing multi-network on-board units (OBUs) and fixed access points to provide always-on, robust, and energy-efficient connectivity, enabling flexible operation across various environments and use cases, including vehicular networks that utilize vehicles as Wi-Fi hotspots.
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 maintained, but reliable and efficient connectivity cannot be achieved
Solution Approach 1:
The patent implements dynamic routing and replication mechanisms that adapt to the mobility of nodes. The system continuously monitors node positions and network conditions, dynamically adjusting data paths and replication strategies to maintain reliable connectivity as nodes move between static and mobile states
Solution Approach 2:
The communication network architecture is designed to universally support both static and mobile nodes through a unified platform. The system provides multi-functional capabilities including routing, replication, and data management that work across heterogeneous node types, enabling the same infrastructure to serve diverse connectivity requirements
2Reliability
If data is replicated across multiple nodes in a mobile network, then data availability is improved, but network complexity increases
Solution Approach 1:
The patent implements selective data replication where critical data is copied to multiple nodes including both static infrastructure and mobile units. This copying strategy ensures data availability while using intelligent selection of which data to replicate, avoiding unnecessary duplication that would increase complexity
Solution Approach 2:
The system introduces a mobility management entity that acts as an intermediary to coordinate replication and routing decisions. This mediator simplifies complexity by centralizing the logic for determining when and where to replicate data, rather than requiring each node to independently make complex decisions
3Area of stationary object
If mobile nodes are used to provide connectivity, then network coverage is expanded, but energy consumption increases
Solution Approach 1:
Mobile nodes operate in periodic cycles, alternating between active transmission states and low-power sleep states. The system schedules mobile units to provide connectivity coverage periodically rather than continuously, expanding coverage area while significantly reducing overall energy consumption through these periodic on-off cycles
Solution Approach 2:
The network system automatically manages mobile node activation and deactivation based on real-time coverage requirements. Mobile nodes self-regulate their operation, activating only when needed to provide coverage and entering sleep mode when sufficient coverage already exists, thereby minimizing energy consumption while maintaining adequate coverage area
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). More specifically, systems and methods for managing the routing and replication of data in the download direction in a network of moving things.