Timestamp-free interaction implicit node clock frequency offset estimation method

Abstract

The invention relates to a timestamp-free interaction implicit node clock frequency offset estimation method, and belongs to the technical field of wireless sensor networks. According to the method, atimestamp-free interaction mechanism and a monitoring mechanism are fused, clock relations among a master node M, a slave node S and an implicit node F are unified to the same reference scale, maximum likelihood estimation or a low-complexity estimation method is formed, and clock frequency offset of the implicit node F relative to the slave node S and the master node M is estimated. According tothe method, the timestamp-free interaction mechanism is applied to the implicit synchronization scene, a special synchronization protocol is not depended on, the relative frequency offset of the implicit node can be estimated without sending any data packet, the communication overhead is further reduced, and the energy consumption is reduced. In addition to giving out the maximum likelihood estimation of the implicit node frequency offset parameter, the invention also provides another low-complexity estimation method, and the complexity of the estimation algorithm is effectively reduced on the basis of not causing too large loss of 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

Images