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

Abstract

The invention discloses a wireless sensor network data collection method and system based on broadcast synchronization. The collection method specifically includes: a host node broadcasts a synchronization header to all network sensor nodes, and the network sensor nodes perform a set-up on their respective sampling timers according to time calibration information. Proofreading; determine or update the respective sampling rates according to the query period and respective sampling magnifications; according to the time slot allocation information, package the sampled data in the order of sampling time and send them to the host node in the form of datagrams; the host node parses the contents of each datagram , reproduce the data of each network sensor node, and send it to the integrated control machine or telemetry system. The present invention adopts the host broadcast message to realize the whole network management and data collection, which is simple and reliable, has high data synchronization precision, and the data reported in each cycle is equal in length, which is convenient for hardware processing, and can dynamically change the sampling rate, which solves the problems in the prior art .

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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