A time sequence underwater acoustic channel quality prediction algorithm and system based on nearest neighbor regression

Abstract

The invention relates to a nearest neighbor regression-based time sequence underwater acoustic channel quality prediction method, which comprises the following steps of: initializing: receiving an initial data packet by an underwater sensor network node to obtain an identifier, residual energy consumption and a signal-to-noise ratio of a neighbor node, and establishing a channel quality matrix comprising the identifier, residual energy consumption and the signal-to-noise ratio of the neighbor node; in the active packet sending step, the node entering the active packet sending state adopts a time sequence underwater acoustic channel quality evaluation algorithm based on nearest neighbor regression to obtain a neighbor channel quality evaluation value of the node, confirms a forwarding nodeof the next hop according to the evaluation value, adds an identifier of the forwarding node into a data packet, and broadcasts the evaluation data packet; and a passive receiving step: after receiving the data packet, the node in the passive receiving state updates the channel quality matrix and judges whether the node itself is the forwarding node or not through the comparison identifier.

Description

technical field [0001] The invention belongs to the field of information technology, and is particularly suitable for predicting the quality of time-series underwater acoustic channels. Background technique [0002] Since 1950, long-term continuous marine data acquisition technology has been widely valued and researched by various countries. It can provide basic data for marine science and forecast marine natural disasters; it can also provide support for military needs such as offshore defense and early warning of maritime military threats. However, traditional single-sensing devices cannot meet the application requirements in terms of working life cycle and acquisition scale. In the past ten years, the development of terrestrial wireless sensor networks based on short-distance wireless communication is very rapid. Underwater wireless sensor network (UWSN) is an extension of the concept of terrestrial sensor networks to underwater applications. The underwater sensor netwo...

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Problems solved by technology

[0004] (1) The signal propagation delay is large. The average speed of sound waves in seawater is about 1500 meters per second, which is several orders of magnitude lower than the propagation speed of radio, and the propagation speed of sound waves is affected by temperature, salinity, pressure, water currents and ocean currents. influence of environmental factors

[0005] (2) The communication bandwidth is low, and the bandwidth is only tens of Kbps in the common communication distance

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