Time Synchronization Method for Voltage Adaptive Wireless Sensor Networks

A wireless sensor and network time technology, applied in synchronization devices, wireless communications, electrical components, etc., can solve the problems of not considering the impact of the working environment, high energy consumption support, environmental restrictions, etc., to reduce communication overhead, improve synchronization accuracy, The effect of reducing energy consumption
CN104837196BActive Publication Date: 2018-03-20NORTHWEST UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
NORTHWEST UNIV
Publication Date
2018-03-20

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Abstract

The invention discloses a voltage sensing-based wireless sensor network time synchronization method. The method includes the following steps: external clock synchronization and local time self-correction. This algorithm takes into account the impact of changes in the node's current operating voltage on the node frequency offset when estimating frequency offset, thereby improving the accuracy of frequency offset estimation. At the same time, because this algorithm mainly relies on local information during the time synchronization process, it greatly reduces the number of information transmissions, thereby greatly reducing energy consumption and reducing the accumulation of errors caused by layer-by-layer transmission of information. Finally, since this algorithm relies less on information transmission, it solves the problem of unstable communication caused by dynamic changes in voltage and node location.
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Description

technical field

[0001] The invention relates to the technical field of wireless networks, in particular to a voltage adaptive wireless sensor network time synchronization method, which is suitable for large-scale regional monitoring wireless sensor network applications such as wild animal monitoring and earthen site monitoring. Background technique

[0002] As an important supporting technology of wireless sensor networks, time synchronization has been widely used, such as data fusion technology, sleep scheduling technology, TOA-based positioning technology and target tracking, all of which require the nodes of the entire network to maintain time synchronization. In a large-scale sensor network, there are many network nodes, and the energy, processing power, and bandwidth of the nodes are relatively limited, and the network environment is relatively harsh. Therefore, this requires the sensor network time synchronization algorithm to have low communication overhead, low comput...

Claims

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