Distributed underwater network localization method based on mobile beacon

Abstract

The invention discloses a distributed underwater network localization method based on a mobile beacon, and belongs to the technical field of an underwater wireless sensor network. The method comprises the steps that 1), an autonomous underwater vehicle AUV moves layer by layer and broadcasts and sends beacon signals at intervals of same time, and an unknown node encodes the signals according to the sequence of receiving the signals transmitted by the AUV; and 2), geometric models which are received by the unknown node in the signal coverage on adjacent paths are intersected to generate an innermost intersection body, and the mass center of the innermost intersection body is estimated as the location of the unknown node. The method is a three-dimensional distributed location method. The location of the unknown node is determined by calculating the mass center of the innermost intersection body. The experiment shows that the method has the advantages of relatively high node location accuracy and node location coverage.

Description

technical field [0001] The invention belongs to the technical field of underwater sensor networks, in particular to a mobile beacon-based distributed underwater network positioning method. Background technique [0002] As the development and utilization of marine resources has become the focus of attention of all countries in the world, underwater sensor networks have also become a research hotspot in various countries, and have been applied in various aspects such as environmental monitoring, disaster forecasting, and resource development. At the end of the 20th century, the Seaweb annual experiment carried out by the United States demonstrated the concept of underwater sensor networks and explored its practical application value. Today, more and more schools and research institutes have joined the research, such as: American Computing Machinery Association, Massachusetts Institute of Technology, University of Connecticut, Woods Hole Oceanographic Institution (WHOI), Georgi...

AI Technical Summary

Problems solved by technology

This algorithm uses two-way TOA ranging to avoid time synchronization, but the communication overhead is high and the positioning delay is large

[0005] Hanjiang Luo et al. proposed the Localization with Directional Beacons (LDB) positioning algorithm, which is a distributed three-dimensional positioning algorithm that uses AUV as a mobile anchor node to help unknown nodes locate, which can effectively overcome unknown nodes. Failure problem, but when the interval between AUV transmission signals becomes larger, the node coverage rate decreases rapidly, and the average positioning error becomes larger rapidly

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