Agricultural perception data sparse vector acquiring and space coupling method

Abstract

The invention provides an agricultural perception data sparse vector acquiring and space coupling method. In the method, an aggregation node can control a cluster head node to select an inner-cluster node carrying a larger amount of information to acquire farmland environment information in a network compressed sensing process by using correlation of monitoring data between adjacent perception nodes in a monitoring area while all nodes are not required to report the acquired data in each turn, so that the number of acquisition nodes in a cluster in a current turn can be reduced effectively; the volume of data submitted to the head cluster node by the inner-cluster node is reduced; and transmission energy consumption between nodes and the cluster head node is lowered. Moreover, the cluster head node compresses the received acquired data secondly, and uploads the compressed data to the aggregation node, so that a total transmission amount between the cluster head node and the aggregation node can be further lowered; the transmission energy consumption is lowered; and the transmission efficiency of the whole sensing network is increased.

Description

technical field [0001] The invention belongs to the technical field of agricultural information, and in particular relates to a method for collecting and spatially coupling agricultural perception data coefficient vectors. Background technique [0002] In recent years, with the development of information technology, people can apply more and more high-tech information technology to traditional industries, thus driving the development of traditional industries. For example, in the traditional agricultural field, people can only judge the situation of the farmland through human observation and experience, but now the wireless sensor network (Wireless SensorNetworks, WSN) technology can be used to collect the environmental data of the farmland, so as to be able to Real-time acquisition of accurate farmland environmental data to provide a strong guarantee for the next planting measures [0003] However, there are temporal correlations and spatial correlations between the agricu...

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Problems solved by technology

[0007] However, both of the above methods have their own shortcomings

The first type of method does not take advantage of the data correlation between adjacent nodes caused by the dense distribution of WSN nodes, and there is a large information redundancy between adjacent nodes in the environmental monitoring wireless sensor network; although the second type of method uses adjacent The data correlation of the nodes, but the total amount of data collected by the sensor nodes has not been reduced, or some of the collected data are discarded during the compression process, resulting in invalid collection

Sensor node data acquisition is an important aspect that affects the energy consumption of wireless sensors, resulting in energy waste

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