Data collection method based on AUV position prediction in underwater sensor network

Abstract

The invention discloses a data collection method based on AUV position prediction in an underwater sensor network. The data collection method comprises the following steps: the AUV cruises in the network according to a pre-determined helical orbit to perform data collection and adjusts the orbit, wherein the helical orbit can be decomposed into circling motion on the horizontal direction and a uniform linear motion on the vertical direction, a node calculates whether itself is within the collection area of the AUV according to its own position and the orbit of the AUV, the node within the collection area waits for the AUV to arrive at vicinity of the node and performs with the AUV, and the node beyond the collection area forwards data to the collection area through multiple hops. The data collection method supports the AUV to cruise in the network to perform data collection, thereby reducing the energy consumption of the node, and the AUV does not need to broadcast a data packet while cruising in the network, thereby reducing the communication cost.

Description

technical field [0001] The invention relates to a data collection method based on AUV position prediction in an underwater sensor network, and belongs to the technical field of wireless sensor network data collection. Background technique [0002] As countries around the world turn their attention to the ocean for economic development, underwater sensor networks (UWSN, underwater wireless sensor networks) have become a new research hotspot. Underwater sensor networks play an important role in marine data collection, pollution monitoring, marine exploration, disaster early warning, auxiliary navigation, battlefield surveillance, and mineral detection. Data acquisition is one of the basic applications of underwater sensor networks. By deploying a large number of sensor nodes in the environment of interest, people collect various data of interest, such as temperature, humidity, sound, image, video, etc., and the collection of large amounts of data, such as the collection of im...

AI Technical Summary

Problems solved by technology

[0009] 1. The selection of the gateway node needs to exchange control packets with the node and the AUV, and the communication brings a large energy cost

[0010] 2. The fixed trajectory of AUV causes the energy consumption of nodes near the trajectory to be faster, which will cause hot spot problems and affect the performance of the network

[0011] 3. The AUV cruise path is too long, resulting in a large end-to-end delay in the network

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