Dynamic Network Architecture for Moving Things Scheduling
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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 dynamically configures a complex array of both static and moving nodes, utilizing mobile and fixed access points to create a robust, scalable, and adaptable platform for connectivity, services, and Internet access, with features like self-healing, self-configuration, and adaptive power management, enabling seamless handovers and efficient data routing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current communication networks are used to support networks with moving and static nodes, then connectivity is provided, but reliability and scalability are insufficient
Solution Approach 1:
The patent implements dynamic network configuration where access points can be manually or automatically added, moved, or removed from the network. The system dynamically adjusts routing paths based on node mobility and network conditions, enabling reliable connectivity in dynamic environments with mixed mobile and static nodes
Solution Approach 2:
The system changes network parameters such as routing paths, priority levels, and connectivity parameters based on real-time conditions. Priority values and routing decisions are adjusted dynamically to maintain reliable connections as nodes move or network conditions change
2Reliability
If data scheduling is managed in networks with moving nodes, then connectivity is maintained, but data loss and transmission delays occur
Solution Approach 1:
The system continuously monitors network conditions and uses feedback to adjust scheduling decisions. Priority values are updated based on real-time network state, and routing paths are modified in response to congestion or availability conditions, reducing delays and data loss
Solution Approach 2:
The system performs preliminary actions by pre-establishing routing paths and priority levels before data transmission begins. When nodes move or network conditions change, pre-configured fallback paths and priority adjustments are activated to minimize transmission delays
3Reliability
If network resources are allocated without optimization, then connectivity is provided, but energy consumption increases
Solution Approach 1:
The system optimizes energy consumption by dynamically changing power management parameters. Access points and nodes can adjust their operational state, transmission power, and activity levels based on network conditions and service requirements, reducing overall energy consumption while maintaining service continuity
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 scheduling and prioritizing of data in a network of moving things.