Master Station Data Transmission Scheduling
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Solution Overview
Problem
Existing systems for tracking movements and performance metrics face challenges in facilitating fast data transmission between sensors and processing entities, particularly in real-time environments, due to inefficiencies in transmission scheduling and communication protocols.
Innovation Solution
The system separates the master station from the master station controller, allowing the master station to independently manage transmission intervals and schedules, enabling faster data reporting by reducing the need for additional communication with the controller and optimizing polling processes through techniques like shortening or lengthening transmission windows and skipping devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the master station communicates with the master station controller for each transmission interval adjustment, then the system maintains centralized control, but data transmission speed decreases due to additional communication overhead
Solution Approach 1:
The system separates the master station into two functional components: a controller that manages transmission schedules and stores polling intervals, and a communication interface that executes transmissions. This segmentation allows the communication interface to operate independently using pre-stored parameters, eliminating the need for real-time controller communication during data transmission and reducing communication overhead.
Solution Approach 2:
The master station controller pre-determines and stores optimal polling intervals and transmission schedules before actual data collection begins. By performing this configuration in advance, the system eliminates the need for real-time negotiation or adjustment during data transmission, thereby improving transmission speed while maintaining centralized control over the parameters.
2Productivity
If the system uses fixed transmission intervals for all sensors, then the communication protocol remains simple, but real-time data collection efficiency decreases when some sensors are unavailable
Solution Approach 1:
The system implements dynamic transmission scheduling where the master station controller adjusts polling intervals and transmission windows based on sensor availability and data priority. The controller can lengthen intervals for low-priority sensors or shorten them for high-priority sensors, optimizing data collection efficiency without requiring complex real-time negotiations during transmission.
Solution Approach 2:
The system varies transmission parameters such as polling intervals and transmission window sizes based on sensor characteristics, data priority, and availability. By changing these parameters dynamically during the data collection phase (while maintaining pre-established rules), the system improves productivity without adding significant complexity to the communication protocol itself.
3Loss of time
If the master station waits for all sensors to be ready before transmitting data, then data consistency is maintained, but transmission latency increases
Solution Approach 1:
The system uses periodic polling with predetermined intervals to collect data from sensors asynchronously. Each sensor transmits data at its scheduled interval without waiting for others, reducing latency. The master station controller maintains data consistency through structured data buffering and timestamping, allowing real-time processing while preserving data integrity.
Data Source
AI summary
A fast data method is contemplated to speed data processing and/or transmission times associated with sensor devices desiring to report or otherwise communicate electronic data over wireless or wireline communications mediums to a processing entity. The fast data method may be achieved by scheduling transmission windows/intervals for the sensor devices and adjusting the scheduled intervals in a manner aimed at increasing processing/polling speeds and/or in a manner aimed at facilitating transmission of data built-up over time due to a prior inability to transmit the data.