Sensor Connection Determination Using Time Stamp Deviation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In IoT sensor systems, determining the connection status between sensor terminals and accommodating terminals is challenging due to unstable communication environments, leading to packet loss and potential buffer overflow, especially since RSSI values are not directly accessible from the application side and specific header information may not be available.
Innovation Solution
A communication connection determination method that calculates mean deviation reference and evaluation values from time stamp intervals to assess the connection status, using a Wilcoxon signed-rank test to identify significant differences and determine communication abnormalities, thereby preventing buffer overflow without relying on specific header information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If packet loss continuously occurs in unstable communication environment, then data accumulation speed exceeds transmission speed, but buffer overflow and system failure occur
Solution Approach 1:
The patent performs preliminary actions by calculating mean deviation reference values during normal communication phases before packet loss occurs. This allows the system to establish a baseline for comparison, enabling early detection of connection abnormalities before buffer overflow happens. The reference value calculation is done in advance during stable communication periods.
Solution Approach 2:
The patent implements feedback by continuously monitoring time stamp intervals and comparing them against the pre-calculated mean deviation reference values. When the deviation exceeds the threshold, the system provides feedback to disconnect the connection, preventing buffer overflow. This closed-loop feedback mechanism dynamically adjusts connection status based on real-time communication quality.
2Measurement precision
If RSSI or header information is used for connection determination, then connection status can be ascertained, but application side accessibility is limited or specific header information must be available
Solution Approach 1:
The patent extracts only the necessary time stamp information from communication packets, ignoring other detailed header information. By focusing solely on time stamp intervals between consecutive packets, the system achieves connection status detection without requiring access to specific header fields or RSSI values, making it universally applicable across different communication protocols and accessible from the application layer.
Solution Approach 2:
The patent creates a universal connection determination method that works across different communication protocols and terminal types. The time stamp interval-based approach is protocol-agnostic and can be implemented at the application layer without requiring protocol-specific modifications, making it universally applicable to various sensor terminals and communication standards.
3Adaptability or versatility
If connection control is performed in individual sensor terminals, then each terminal can manage its own connection, but firmware updates are required for each terminal deployment
Solution Approach 1:
The patent merges the connection determination logic into the sensor accommodating terminal rather than keeping it distributed in individual sensor terminals. The accommodating terminal collects time stamp information from multiple sensor terminals and performs centralized connection status determination using mean deviation calculations. This consolidation eliminates the need for firmware updates in deployed sensor terminals while maintaining adaptability.
Data Source
AI summary
An embodiment communication connection determination method is a communication connection determination method between a sensor terminal and a sensor accommodating terminal, the method including a step of receiving first data and storing a first time stamp, a step of determining the reception number of pieces of the first data, a step of calculating a mean deviation reference value using a first time stamp interval obtained from the first time stamp, a step of receiving second data and storing a second time stamp, a step of determining the reception number of pieces of the second data, a step of calculating a mean deviation evaluation value using a second time stamp interval obtained from the second time stamp, and a step of testing whether there is a significant difference between the mean deviation reference value and the mean deviation evaluation value.