Dynamic Multi-Network OBU for Moving Things Connectivity
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Solution Overview
Problem
Current communication networks are inadequate in supporting environments with both moving and static nodes, failing to provide reliable and efficient connectivity and data management for complex arrays of mobile and static communication nodes, such as the Internet of Moving Things.
Innovation Solution
A communication network architecture that is dynamically configurable, utilizing a combination of fixed and mobile nodes, with a multi-network on-board unit (OBU) capable of long-range communication and geo-location, power management, and data processing, to establish a robust, scalable, and energy-efficient platform for connectivity and data collection from various environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current communication networks are used to support moving and static nodes, then basic connectivity is provided, but reliability and efficiency of data management deteriorate in complex environments
Solution Approach 1:
The network is segmented into multiple layers including access points, gateways, and core network components. Each layer handles specific functions independently, allowing the system to manage complex environments while maintaining reliable connectivity through modular architecture
Solution Approach 2:
The network architecture implements dynamic configuration capabilities where nodes can adapt their roles and connectivity parameters based on environmental conditions. This dynamic behavior enables the system to maintain reliability as network complexity increases by automatically adjusting to changing conditions
2Reliability
If a robust platform for data collection is established in complex environments, then data integrity is enhanced, but power consumption increases
Solution Approach 1:
The system implements periodic data collection and transmission cycles rather than continuous operation. Sensors collect data locally and transmit in periodic batches, maintaining data integrity through scheduled updates while significantly reducing power consumption compared to continuous transmission
Solution Approach 2:
The network implements self-organizing capabilities where nodes automatically manage their own power consumption based on data priority and network conditions. This self-service approach maintains data integrity by allowing critical data to be transmitted with higher power while non-critical data uses lower power modes
3Adaptability or versatility
If connectivity is extended to complex arrays of mobile and static nodes, then network coverage is improved, but energy efficiency deteriorates
Solution Approach 1:
The network implements local quality optimization where different regions and nodes use different communication strategies based on their specific requirements. Mobile nodes use energy-efficient modes when stationary, while static nodes with power supplies maintain continuous connectivity, optimizing overall energy efficiency while extending coverage
Data Source
AI summary
Systems and methods for collecting data in a network of moving things. As non-limiting examples, various aspects of this disclosure provide systems and methods for operating sensor systems and collecting data from sensor systems in a power-efficient and network-efficient manner.