Location-Predicted Message Transmission for Wireless Traffic Reduction
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Solution Overview
Problem
Existing wireless communication systems, particularly in intelligent transport systems, lack efficient methods for adjusting message transmission based on predicted device positions, leading to unnecessary data traffic and potential message loss due to position prediction errors.
Innovation Solution
A method and apparatus for generating and transmitting messages based on predicted state information, where a difference between predicted and actual device states exceeds a threshold, optimizing message generation and reducing unnecessary data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If messages are transmitted periodically without position prediction, then message transmission reliability is maintained, but data traffic increases and power consumption rises
Solution Approach 1:
The message transmission system transitions from static periodic transmission to dynamic event-triggered transmission. The transmission decision is dynamically adjusted based on position prediction results and threshold comparisons, allowing the system to adapt transmission behavior to actual movement conditions rather than following a fixed schedule
Solution Approach 2:
The system changes the transmission parameter (message sending decision) based on the calculated position difference parameter. When the predicted position difference exceeds a threshold, transmission is triggered; otherwise, transmission is suppressed. This parameter-based control optimizes the balance between reliability and energy consumption
2Measurement precision
If messages are transmitted frequently to ensure accurate position information, then position accuracy is improved, but data traffic increases
Solution Approach 1:
Instead of transmitting messages at every possible opportunity or according to a frequent schedule, the system applies partial action by selectively transmitting only when the position difference exceeds the threshold. This prevents excessive transmission while maintaining sufficient position accuracy for the application needs
Solution Approach 2:
The system uses feedback from position prediction and threshold comparison to control message transmission. The predicted future position is continuously compared with the last reported position, and this feedback loop determines whether a new message should be generated, optimizing the balance between accuracy and traffic
3Loss of energy
If position prediction is used to reduce message transmission, then power consumption decreases, but message loss may occur due to prediction errors
Solution Approach 1:
The system performs preliminary position prediction before deciding whether to transmit messages. By calculating the future position in advance and comparing it with the last reported position, the system can proactively determine transmission needs, preventing potential message loss while avoiding unnecessary transmissions that would consume power
4Quantity of substance
If message transmission is optimized based on position prediction, then data traffic is reduced, but system complexity increases
Solution Approach 1:
The system segments the message transmission function into distinct components: position prediction module, difference calculation module, threshold comparison module, and message generation module. This segmentation allows each component to perform its specific function independently, making the overall complex system manageable and maintainable while achieving traffic reduction
Data Source
AI summary
A method for performing wireless communication by a first device, and an apparatus supporting same are provided. The method may comprise the steps of: generating a first message comprising first state information of the first device; transmitting the first message to a second device; acquiring prediction state information of the first device; generating a second message comprising second state information of the first device on the basis of a difference between future state information of the first device, predicted on the basis of the first state information, and the prediction state information, the difference being equal to or greater than a first threshold value; and transmitting the second message to the second device.


