A method for estimating implicit node clock frequency offset without timestamp interaction

Abstract

The invention relates to a hidden node clock frequency offset estimation method without time stamp interaction, which belongs to the technical field of wireless sensor networks. This method integrates the time-stamp-free interaction mechanism and the monitoring mechanism, and unifies the clock relationship between the master node M, the slave node S and the hidden node F to the same reference scale, forming a maximum likelihood estimation or a low-complexity estimation method , to estimate the clock frequency offset of hidden node F relative to slave node S and master node M. The invention applies the time stamp-free interaction mechanism to the implicit synchronization scenario, does not rely on a special synchronization protocol, and can estimate the relative frequency offset of the implicit node without sending any data packets, further reducing communication overhead and energy consumption . In addition to providing the maximum likelihood estimation of hidden node frequency offset parameters, the present invention also provides another low-complexity estimation method, which effectively reduces the complexity of the estimation algorithm without causing too much loss in estimation performance.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor networks, and relates to a hidden node clock frequency offset estimation method without time stamp interaction. Background technique [0002] With the continuous improvement of the manufacturing process, the sensor node equipment has gradually developed from the past simplification to the direction of integration, miniaturization and networking. The wireless sensor network composed of these spatially distributed sensor nodes is also due to its low power consumption, low Advantages such as cost and autonomy have become research hotspots in the industry. Wireless sensor networks are widely used in data fusion, target location and tracking, deterministic scheduling, and power management. These applications require all sensor nodes to be synchronized to a unified time reference. Therefore, time synchronization is an indispensable key technology in wireless sensor networks. [0003] In fact, ...

AI Technical Summary

Problems solved by technology

However, the cost and size constraints of sensor node devices also impose corresponding constraints on their energy, storage, and bandwidth, which makes traditional time synchronization protocols such as NTP no longer suitable for wireless sensor networks, and must be researched to meet the low power consumption of wireless sensor networks. , proprietary synchronization protocol with low-cost features

[0004] At present, there are two main challenges facing the research of time synchronization algorithms for wireless sensor networks: 1) how to reduce or eliminate the impact of random delay on synchronization accuracy; 2) how to reduce the energy consumption caused by the synchronization process as much as possible

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