Timing Response Clock Offset Estimation for Wireless Sensor Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for estimating clock frequency offsets in industrial wireless sensor networks require dedicated synchronization messages and timestamp information exchange, leading to high synchronization overhead and potential security vulnerabilities.
Innovation Solution
A method that estimates clock frequency offsets using a timing response mechanism integrated into ordinary data packet transmissions and ACK processes, eliminating the need for special synchronization messages and timestamp exchange, and utilizing statistical signal processing to calculate frequency offsets and fixed delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated synchronization messages and timestamp information exchange are used to estimate clock frequency offsets, then measurement precision of clock frequency offset estimation is improved, but communication overhead increases and network security is compromised
Solution Approach 1:
The patent merges clock synchronization functionality with ordinary data packet transmission. Instead of using separate synchronization messages, the system embeds timing information extraction within the normal data communication process, specifically using the timing response between data packets and their ACKs. This integration eliminates the need for dedicated synchronization channels while maintaining estimation accuracy.
Solution Approach 2:
The patent makes ordinary data packets serve multiple functions: both data transmission and clock frequency offset estimation. The timing information extracted from the transmission cycle of data packets and their acknowledgments is utilized for synchronization purposes, making the communication protocol universal rather than requiring separate specialized messages.
2Measurement precision
If timestamp information exchange is implemented for time synchronization, then measurement precision of synchronization is improved, but vulnerability to timestamp attacks increases
Solution Approach 1:
The patent extracts timing information from the transmission cycle characteristics of data packets and ACKs rather than using explicit timestamp fields. By measuring the time intervals between data packet transmission and acknowledgment receipt, the system obtains synchronization information without exchanging vulnerable timestamp data, thereby eliminating the attack surface associated with timestamp manipulation.
3Measurement precision
If dedicated synchronization messages are transmitted to estimate frequency offsets, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The patent combines frequency offset estimation with existing data communication operations. Since sensor nodes must transmit data anyway, the timing information extraction is performed during normal data transmission cycles, utilizing already-transmitted signals rather than requiring additional dedicated synchronization traffic. This approach leverages existing energy expenditure for data communication to achieve synchronization benefits.
Data Source
AI summary
The present invention relates to a method for estimating clock frequency offsets of industrial wireless sensor networks based on timing response. In the method, a data packet is sent from a node to be synchronized to a reference node. After the reference node receives the data packet, it replies an acknowledgement after a timing response interval, which is mapped according to a sequence number of the data packet. After communication and interaction for multiple times, a relative frequency offset and a fixed delay between node clocks can be estimated by the node to be synchronized without exchanging timestamp information. The present invention does not need to receive or send messages specially used for time synchronization parameter estimation, which realizes a long-term tracking of clock frequency offset with a low computation cost and reduces communication overhead and energy consumption.


