Adaptive Network Switching for Mobile Devices via Scenario Detection
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Solution Overview
Problem
Current mobile devices do not consider scenario factors when selecting a network connection, leading to inefficient power consumption in scenarios like high-speed trains, elevators, or basements.
Innovation Solution
Implementing a system that allows slave mobile devices to monitor sensor inputs and high-layer configurations, generating a scenario indication based on a scenario matrix, and dynamically switching between wide area wireless networks and local connection networks based on detected scenarios and lower-layer reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If slave devices maintain cellular connection for broad coverage, then network reachability is improved, but power consumption increases in specific scenarios
Solution Approach 1:
The system dynamically switches between cellular and local connection networks based on detected scenarios. The slave device monitors sensor inputs (accelerometer, barometer, GNSS) and scenario matrices to determine when to switch from cellular to local network mode, making the network connection adaptive rather than static, thus reducing power consumption in scenarios like high-speed trains or elevators while maintaining broad coverage capability when needed.
2Use of energy by moving object
If slave devices use local connection networks, then power consumption is reduced, but network coverage is limited
Solution Approach 1:
The master device serves as an intermediary that bridges the local connection network to the wide area network. The slave device connects locally to the master device, which in turn maintains cellular connectivity, allowing the slave to benefit from reduced power consumption while the master provides broad network coverage, effectively combining both advantages.
3Reliability
If network switching is based on signal strength, then connection quality is maintained, but scenario-specific power optimization is lost
Solution Approach 1:
The system changes the decision parameter for network switching from purely signal strength-based metrics to scenario-based detection using sensor inputs and scenario matrices. This allows the system to identify specific scenarios (high-speed train, elevator, basement) and make informed network switching decisions that optimize power consumption while maintaining adequate connection quality for each scenario.
Data Source
AI summary
Apparatus and methods are provided for adaptively switching network connections based on scenario detection for slave mobile devices. In one embodiment, the slave mobile device monitors a plurality of sensor inputs and one or more high-layer configuration in a wide area wireless network, wherein the mobile device is configured with capabilities to keep communication to the wide area wireless network through a master device of a corresponding local connection network, generates a scenario indication based on a scenario matrix of the plurality of sensor inputs and the one or more high-layer configuration, and between the wide area wireless network and the local connection network upon determining a switch trigger based on the scenario indication and one or more lower-layer reports. In one embodiment, each indicated scenario is determined based on one or more factors including the one or more sensor inputs and the one or more high-layer configuration.