Temperature perception-based wireless sensor network time synchronization method

A wireless sensor and network time technology, applied in the field of wireless networks, can solve the problem that the synchronization method cannot be applied to large-scale networks.
CN104168641AActive Publication Date: 2014-11-26NORTHWEST UNIV

Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
NORTHWEST UNIV
Publication Date
2014-11-26

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Abstract

The invention discloses a temperature perception-based wireless sensor network time synchronization method comprising steps of sensitiveness factor determination, sensitiveness factor interval determination, and local time updating. According to the method, during frequency offset estimation, the influence on the node frequency offset by the current environment temperature change of the node is taken into consideration, thereby improving precision of the frequency offset estimation. Meanwhile, because the method is mainly dependent on local information during the time synchronization process, the number of times for information transmission is substantially reduced, thereby reducing the energy consumption to the great extent and reducing error accumulation caused by information transmission in a layer-by-layer mode. Besides, because the method relies less on information transmission, a problem of unstable communication caused by the severe weather and dynamic node position changing and the like in the field environment can be solved.
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Description

technical field

[0001] The invention relates to the technical field of wireless networks, in particular to a temperature-sensing-based time synchronization method for a wireless sensor network, 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 overh...

Claims

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