Vehicle Data Source Self-Nomination for Network Congestion
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Solution Overview
Problem
Commercial aircraft operations face a heavy burden on communication datalinks due to the increasing demand for crowd-sourced weather and other data, which can lead to network congestion and increased costs.
Innovation Solution
A method where vehicles self-nominate as data sources within defined data regions, reducing redundant information transmission by designating one representative vehicle to transmit data to the data aggregation system, thereby minimizing communication burden and costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If crowd sourced data collection is implemented with all vehicles transmitting data, then data availability and diversity are improved, but communication network burden and costs increase
Solution Approach 1:
The system segments the fleet of vehicles into multiple data groups based on geographic data regions. Each data group is further segmented to identify a single lead vehicle that will transmit data on behalf of the entire group. This segmentation reduces the total number of transmitting vehicles from potentially thousands to a manageable few, directly addressing the communication burden while preserving data coverage.
Solution Approach 2:
Instead of having all vehicles transmit data directly to the central server (traditional approach), the system inverts the transmission hierarchy by having lead vehicles aggregate and transmit data for their respective groups. This inversion reduces redundant transmissions and optimizes network utilization while maintaining comprehensive data collection.
2Reliability
If centralized system selects data sources for all vehicles, then data collection coordination is improved, but system complexity and intervention requirements increase
Solution Approach 1:
The system implements self-service by enabling vehicles to autonomously determine their data group membership and identify lead vehicles based on predefined selection criteria (such as vehicle capability, location, or operational status). This self-organizing mechanism eliminates the need for centralized vehicle selection, reducing system complexity while maintaining reliable data collection coordination through automated peer-to-peer communication.
3Productivity
If redundant data transmissions are eliminated by selecting lead vehicles, then communication efficiency is improved, but data representation accuracy may deteriorate
Solution Approach 1:
The system ensures that lead vehicles are selected based on multi-functional criteria that guarantee their ability to represent diverse data types from their group members. Lead vehicles are chosen not just for any single attribute but for their综合能力 to collect and transmit multiple types of data (weather, traffic, operational data) accurately, thus maintaining data representation accuracy while achieving communication efficiency.
Solution Approach 2:
The system implements feedback mechanisms where the central server monitors the quality and completeness of data received from lead vehicles. This feedback loop allows the system to verify that data representation accuracy is maintained, and if needed, adjust lead vehicle selection criteria or request additional data from non-lead vehicles, ensuring both communication efficiency and data accuracy are achieved.
Data Source
AI summary
Systems and methods of crowd sourcing data are provided. In one embodiment, a method of crowd sourcing data comprises: receiving data region boundary information from an aggregation system, the data region boundary information defines boundaries of data regions; determining membership in a data group for a vehicle based on position of the vehicle within a region; determining whether another member of the data group has been selected as data source; determining whether the vehicle can provide information to the data aggregation system; broadcasting a self-nomination message for the information to members of the data group, wherein the self-nomination message self-selects the vehicle as data source for the information; wherein the self-nomination message identifies the type of information; and transmitting the information from the data source to the data aggregation system via a communication link, wherein only the data source transmits the information to the data aggregation system for the data group.