Vehicle IoT Data Transmission with Duplicate Elimination
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Solution Overview
Problem
Current data transmission methods in IoT-based transportation systems are inefficient due to the lack of effective methods for reducing data size, leading to increased overhead and potential data loss, especially when dealing with duplicated data across vehicles.
Innovation Solution
A method for transmitting data in vehicles that senses and reduces the size of data by identifying and omitting duplicated information based on current, previous, and other vehicle data, using techniques such as data compression and replacement, and considering network environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If data transmission is performed without reducing data size, then data completeness is maintained, but communication overhead increases and network efficiency deteriorates
Solution Approach 1:
The patent extracts and removes duplicated data from the transmission stream by comparing current sensed data with previously transmitted data and data from other vehicles. Only unique or changed portions of data are transmitted, thereby reducing communication overhead while maintaining data completeness.
Solution Approach 2:
The patent performs preliminary data processing by identifying and marking duplicated data before transmission. The system prepares compression indicators and data difference information in advance, allowing the receiver to reconstruct complete information without transmitting redundant data.
2Productivity
If data size is reduced by removing duplicated information, then communication efficiency is improved, but data reconstruction complexity increases
Solution Approach 1:
The patent introduces an intermediary data structure that includes compression indicators, data difference information, and location markers. These intermediaries facilitate the reconstruction process by providing structured guidance on how to assemble the transmitted data with previously stored data, reducing the complexity of the reconstruction operation.
Solution Approach 2:
The patent changes the parameter representation of data by transmitting only the differences or unique portions rather than complete data sets. The system uses parameter-based identification (such as location information and compression flags) to enable efficient reconstruction without transmitting full data redundancy.
3Quantity of substance
If duplicated data identification is performed across multiple vehicles, then data redundancy is reduced, but system complexity and processing requirements increase
Solution Approach 1:
The patent merges data from multiple vehicles by identifying and eliminating cross-vehicle duplications. The system combines sensed data with data from other vehicles and previously transmitted data, using unified comparison mechanisms to identify redundancies across the entire network rather than treating each vehicle independently.
Solution Approach 2:
The patent implements a universal data comparison and identification mechanism that works across all vehicles in the network. The same data structure, comparison algorithm, and compression approach are applied universally, enabling consistent multi-vehicle data reduction without requiring vehicle-specific processing logic.
Data Source
AI summary
The present disclosure may provide a method of transmitting, by a vehicle, data in a system using IoT. Herein, a method transmitting, by a vehicle, data may include: sensing data; and transmitting sensed data. Herein, when duplicated data is included in the sensed data, the sensed data may be transmitted by reducing a size thereof on the basis of the duplicated data.