Wireless sensor network data acquisition method and system based on broadcast synchronization

Abstract

The invention discloses a wireless sensor network data acquisition method and system based on broadcast synchronization, and the method specifically comprises: a host node broadcasting synchronizationheaders to all network sensor nodes, and the network sensor nodes carrying out the calibration of respective sampling timers according to the time calibration information; determining or updating therespective sampling rate according to the query period and the respective sampling rate; according to the time slot distribution information, packaging the sampling data according to a sampling timesequence and sending the sampling data to a host node in a datagram form; and the host node analyzing the content of each datagram, reproducing the data of each network sensor node, and transmitting the data to a comprehensive control computer or a remote measurement system. Whole network management and data collection are realized by adopting the host broadcast message, the method is simple and reliable, the data synchronization precision is high, the data reported in each period are equal in length, the hardware processing is convenient, the sampling rate can be dynamically changed, and theproblems in the prior art are solved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, relates to wireless sensor network data collection technology, in particular to a wireless sensor network data collection method and system based on broadcast synchronization. Background technique [0002] With the development of sensor technology and communication technology, sensor network technology has been applied in many fields such as environmental monitoring and condition monitoring. In the process of actual deployment and application, in order to complete the comprehensive detection of the target environment / state, a typical sensor network often has the following characteristics: [0003] 1. There are various types of sensors. Specific sensors often can only measure one of many environmental parameters, such as temperature, pressure, etc. In order to obtain multiple parameters of the target environment at the same time, sensor networks often need to deploy many different ...

AI Technical Summary

Problems solved by technology

Due to the different properties of the physical quantities measured by different sensors, the required sampling rate, sampling accuracy and other parameters are also different, resulting in different output rates of different sensors.

[0005] 3. The network needs time alignment

[0007] 1. It is difficult to realize fixed-length packet switching

Since the sampling period of multiple sensor nodes and the network data collection period are difficult to synchronize, the data reported by the sensor nodes in each period is not equal in length, and fixed-length messages cannot be used for exchange. A cache management mechanism is required to ensure that all data is in order Processing, which increases the complexity of datagram processing

[0008] 2. Requires complex time stamping system

Since each sensor node independently samples according to the local clock and time stamps the obtained data, the long-term accumulation of clock drift and other errors will make the sampled data invalid. Clock calibration system to ensure the synchronization of sampled data

[0009] 3. It is difficult to dynamically change the sampling rate

Sensor networks often perform data communication through pre-allocated time slots. For sensor nodes with burst data or urgent data, it is difficult to dynamically adjust the time slot (bandwidth)

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