A Maritime Search and Rescue Wireless Sensor Network Node Location Method

Abstract

The present invention provides a node positioning method for maritime search and rescue wireless sensor network, which uses the maximum likelihood estimation positioning algorithm to calculate the initial positioning position information of the selected beacon node that is closest to the target node and has the same motion state; according to the acquired The movement trajectory of the selected beacon node is first corrected for the initial positioning position information of the selected beacon node to obtain the first corrected position information of the selected beacon node; after the first corrected position information of the selected beacon node Based on the coordinate error correction of the position information of the selected beacon node, the final position of the selected beacon node is obtained; according to the final position of the selected beacon node and the results of the first correction and coordinate error correction, the maximum likelihood estimation positioning algorithm is used to calculate The initial positioning position information of the target node is corrected to obtain the final position of the target node. The invention can adapt to the highly dynamic maritime wireless sensor network and provide more real-time and more accurate node position information.

Description

technical field [0001] The invention relates to a wireless search and rescue technology in the field of maritime security and wireless sensor network technology, in particular to a wireless sensor network for maritime search and rescue and a positioning technology for a target node thereof. Background technique [0002] The existing maritime search and rescue technology mainly relies on the unilateral search of the search and rescue party. The target to be searched can hardly provide the search and rescue party with useful information related to the search work, which is relatively passive. With the advent of the Internet of Things era, the development of MEMS technology, and the wireless sensor network (Wireless Sensor Networks, WSN) technology is becoming more and more mature. A large number of nodes set up in the WSN, through real-time monitoring of targets in the monitoring area and multi-hop wireless communication, collect information such as the position of the search ...

AI Technical Summary

Problems solved by technology

[0006] The existing positioning algorithms are mainly divided into static node positioning algorithms and dynamic node positioning algorithms, and preliminary progress has been made. However, due to factors such as funds and equipment conditions, most topology control methods are still in the theoretical research stage. The experiments carried out are also limited to observing the advantages and disadvantages of the method in the simulation environment, and do not fully pay attention to the many challenges to be faced in the actual environment application

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