AUV data collection method in underwater wireless sensor network based on seawater layering

Abstract

The invention discloses an AUV data collection method in an underwater wireless sensor network based on seawater layering. The AUV data collection method comprises: layering of the underwater wirelesssensor network is carried out through an oceanographic model; for different layering, different data collection strategies are adopted; an AUV cruises according to a predetermined path on a surface layer having relatively high mobility; a sensor node performs data forwarding by dynamically selecting a forwarding set at each hop through the factors, such as the forwarding probability and the residual energy, so that the data forwarding reliability of a mobile node is enhanced; simultaneously, in a lower-layer network, the node forms an AUV stop point through initialization operation includingaggregating, and then clustering; an AUV track is planned through a shortest path algorithm; data in the network is collected by utilization of the AUV used as an auxiliary tool; simultaneously, the energy consumption of the AUV is considered; therefore, the whole algorithm accords with a practical condition better; the cruising path of the AUV is reasonably planned; therefore, the data forwardinghop number is reduced; the energy consumption of the network is reduced; the problem that the energy consumption is non-uniform can be partly solved; and thus, the survival time of the network is prolonged.

Description

technical field [0001] The invention belongs to the technical field, and in particular relates to a method for collecting AUV data in an underwater sensor network based on seawater layering. Background technique [0002] In recent years, Underwater Wireless Sensor Networks (UWSNs) have attracted more and more researchers' attention. This is not only because seawater occupies 70.8% of the earth's surface, but also because underwater sensor networks are used in various underwater applications, such as underwater environment detection, underwater disaster warning, military monitoring, underwater resource detection, etc. out of its superior performance. This type of application is mainly based on sensor nodes for data collection, and the data can be in the form of simple binary data or complex big data such as audio, image, and video. Therefore, how to collect the collected data to the corresponding equipment for processing to obtain the required information is an important is...

AI Technical Summary

Problems solved by technology

This solution can balance the energy consumption of the entire network nodes, improve the network life and reduce the delay of important data; the disadvantage is that the proportion of important data is small after all, and the impact on the energy consumption and delay of the entire network is not as great as imagined

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