Mobility Management in Moving Things Networks
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Solution Overview
Problem
Current communication networks are inadequate in supporting complex arrays of both moving and static nodes, such as those found in the Internet of Moving Things and autonomous vehicle networks, due to limitations in flexibility, scalability, and mobility management.
Innovation Solution
A communication network architecture that provides a dynamically configurable platform capable of connecting mobile and static nodes, utilizing mobile access points and network controllers to manage mobility, ensure seamless handovers, and adapt to varying environments, while maintaining robustness and energy efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current communication networks are used to support moving and static nodes, then basic connectivity is provided, but flexibility, scalability, and mobility management are inadequate
Solution Approach 1:
The system implements dynamic mobility management through real-time tracking of mobile nodes and adaptive route optimization. The network continuously adjusts routing paths, handover parameters, and resource allocation based on node mobility patterns, ensuring reliable connectivity despite movement. This dynamic adaptation resolves the contradiction by making the network both flexible to mobility changes and reliable in maintaining connections.
Solution Approach 2:
The system dynamically changes network parameters such as transmission power, modulation schemes, and routing metrics based on mobility conditions. When nodes move or connectivity degrades, the system adjusts these parameters to maintain reliable communication while adapting to the changing environment, thus achieving both flexibility and reliability.
2Area of stationary object
If a network supports complex arrays of moving and static nodes, then connectivity coverage is improved, but system complexity increases
Solution Approach 1:
The network is segmented into multiple coordinated access points and controllers that independently manage local node segments. Each access point handles a specific geographic area or node group, reducing the complexity any single component must manage while collectively providing extensive coverage. This segmentation allows the system to scale to complex arrays of nodes without proportionally increasing overall system complexity.
Solution Approach 2:
The system introduces intermediary components such as mobility controllers and gateway nodes that mediate between mobile nodes and the core network. These intermediaries simplify connectivity management by handling handovers, route optimization, and protocol translation, thereby reducing the complexity burden on the overall system while enabling support for numerous moving and static nodes across large areas.
3Reliability
If mobile access points are used to support high mobility scenarios, then connectivity for moving nodes is improved, but energy consumption increases
Solution Approach 1:
The system uses periodic wake-up schedules and duty-cycled communication where mobile access points and nodes alternate between active and sleep states. During periods of stable connectivity, devices enter low-power mode, waking only when handovers are anticipated or connectivity degradation is detected. This periodic operation maintains reliable connectivity for mobile nodes while significantly reducing average energy consumption compared to continuous operation.
Solution Approach 2:
The system dynamically changes transmission parameters such as power level, data rate, and polling intervals based on mobility speed and connectivity requirements. When nodes move slowly or remain stable, the system reduces transmission power and increases sleep intervals, maintaining connectivity while minimizing energy use. During high-mobility periods, parameters are adjusted to ensure reliable connection at the cost of increased energy consumption only when necessary.
Data Source
AI summary
Systems and methods are provided for supporting mobility of users with seamless connectivity in a network of moving things. A controller may be used to manage mobility of a plurality of end-user devices in a network of moving things. A request to establish a wireless connection with a network of moving things may be received from an end-user device, via a first access point of the network. A communication parameter for the end-user device may be determined, with the communication parameter configured for use in enabling wireless communication via the network. The determining includes assigning the communication parameter to the end-user device if the end-user device is not known to the controller, and retrieving the communication parameter if the end-user device is known to the controller. The communication parameter is then sent to the end-user device that transmitted the request.