Vehicle-Relevant Data Subscription Filtering for Context-Aware Communication
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing communication systems in vehicles transmit data inefficiently, often sending irrelevant information, leading to increased signaling overhead and costs due to bulk data transmissions without consideration of relevance to recipients.
Innovation Solution
A context-based intelligent decision-making system that determines data relevance based on context-based criteria, using a publish-subscribe framework to provide filtered data only to subscribed clients, reducing unnecessary data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If bulk data transmissions are used to ensure all possible data is delivered, then data completeness is improved, but communication efficiency deteriorates due to increased signaling overhead and transmission of irrelevant data
Solution Approach 1:
The patent segments the bulk data transmission into multiple targeted transmissions based on data classifications. Each classification is transmitted only to client devices that have subscribed to receive that specific type of data, thereby eliminating irrelevant data transmission while ensuring completeness of relevant data.
Solution Approach 2:
The patent applies local quality by customizing the data transmission for each client device based on its subscription preferences and context-based criteria. Each client receives a tailored subset of data that is locally relevant to its specific needs, rather than a uniform bulk transmission to all devices.
2Loss of time
If periodic data transmission is used to ensure timely delivery, then data freshness is improved, but resource consumption deteriorates due to unnecessary transmissions when data is not relevant
Solution Approach 1:
The patent makes the data transmission dynamic by using a context processing model that evaluates context-based criteria before each transmission. The system adapts transmission decisions in real-time based on current vehicle context data, client subscriptions, and relevance assessments, rather than following a fixed periodic schedule.
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously monitors vehicle context data and client device states, then uses this feedback to determine whether data transmission is currently relevant and necessary. This feedback loop prevents unnecessary transmissions while ensuring timely delivery when data is actually needed.
3Loss of information
If all data classifications are transmitted to all clients to ensure comprehensive coverage, then data availability is improved, but network bandwidth consumption deteriorates
Solution Approach 1:
The patent extracts and transmits only the specific data classifications that are relevant to each client device based on its subscriptions. The system separates the comprehensive data set into discrete classifications and selectively transmits only the necessary portions to each client, thereby reducing overall network bandwidth consumption while maintaining data availability for relevant information.
4Productivity
If context-based filtering is applied to transmit only relevant data, then communication efficiency is improved, but system complexity deteriorates due to the context processing model
Solution Approach 1:
The patent introduces a context processing model as an intermediary component that handles the complex task of evaluating context-based criteria and determining data relevance. This intermediary layer separates the complexity of context analysis from both the data source and client devices, allowing efficient communication by pre-processing and filtering data before transmission based on contextual relevance.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Embodiments of the present disclosure provide systems and methods subscription-based communication of vehicle-relevant data. In one embodiment, vehicle-relevant data associated with a particular data classification of a plurality of data classifications is received from at least one data source system. A determination may be made that at least one client device is subscribed to the particular data classification. A determination may be made, based on vehicle context data, that at least one context-based criterion associated with the at least one client device is satisfied using a context processing model configured to learn the at least one context-based criterion. At least the vehicle-relevant data may be transmitted to the at least one client device in response to the determination that the at least one context-based criterion is satisfied.