Vehicle-to-Cloud Data Upload Scheduling for Network Disruptions
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Solution Overview
Problem
Existing systems for uploading data from vehicles to cloud servers face challenges in maintaining data validity due to unreliable mobile network communication, leading to potential loss of timely data transmission.
Innovation Solution
A system with sensors for geo-localization and network monitoring, combined with an electronic control unit that adjusts transmission intervals based on network and location data to anticipate communication loss and buffer data for timely delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data transmission is performed at fixed periodic intervals, then the system operation is simple, but data validity is lost when communication signal quality deteriorates
Solution Approach 1:
The transmission interval is changed from a fixed periodic value to a dynamic value that adjusts based on predicted communication signal quality. The electronic control unit modifies the transmission interval according to the difference between predicted and actual signal quality, enabling the system to adapt transmission timing to communication conditions while maintaining operational simplicity through automated adjustment.
2Loss of energy
If transmission intervals are extended to reduce communication frequency, then energy consumption decreases, but data timeliness deteriorates
Solution Approach 1:
The system performs preliminary action by predicting communication signal quality in advance before actual data transmission occurs. The electronic control unit uses the predicted signal quality to proactively adjust transmission intervals, allowing the system to schedule transmissions during periods of expected good signal quality, thereby reducing the frequency of transmissions (saving energy) while ensuring data is sent timely when communication conditions are favorable.
3Reliability
If transmission intervals are shortened to improve data timeliness, then data validity is maintained, but energy consumption increases
Solution Approach 1:
The system changes the transmission interval parameter dynamically based on predicted communication signal quality. Instead of using a fixed short interval that consumes excessive energy, the electronic control unit adjusts the interval length according to signal quality predictions, maintaining short intervals only when necessary to preserve data validity while extending intervals during periods of poor predicted signal quality or stable good conditions, thereby optimizing energy consumption.
4Reliability
If the system anticipates communication loss and pulls forward transmission, then data validity is maintained, but transmission scheduling complexity increases
Solution Approach 1:
The system implements feedback by comparing predicted communication signal quality with actual signal quality after transmission. The electronic control unit uses this feedback to continuously refine transmission interval adjustments, enabling the system to learn from past performance and improve its prediction accuracy over time, thereby maintaining data validity while managing scheduling complexity through adaptive learning rather than complex predetermined rules.
Data Source
AI summary
The disclosure relates to system for uploading data from a main vehicle to a cloud server, comprising: a first sensor configured to obtain geo localization information of the main vehicle; a second sensor configured to monitor at least one predetermined characteristic of the main vehicle and/or of the environment of the man vehicle; a communication unit configured to transmit a report to an external cloud server and configured to receive network information from the external cloud server via a wireless communications network, said network information comprising at least one locally varying characteristic of the wireless communications network across a geographic region, and an electronic control unit configured to: repeatedly generate reports by collecting the at least one monitored characteristic and transmit them in predetermined time intervals via the communication unit, modify the predetermined time intervals as a function of the received network information and the obtained geo localization information.