Method for positioning nodes of wireless sensor network for maritime search and rescue

Abstract

The invention provides a method for positioning nodes of a wireless sensor network for maritime search and rescue. The method comprises the steps of calculating the initial positioning position information of a selected beacon node which is closest to the position of a target node and has the same movement state through maximum likelihood estimation positioning algorithm; correcting the initial positioning position information of the selected beacon node for the first time to obtain the position information of the selected beacon node after first correcting; correcting the coordinate error of the position information of the selected beacon node after first correction to obtain the final position of the selected bean node; correcting the initial positioning position information of the target node, calculated by the maximum likelihood estimation positioning algorithm according to the final position of the selected beacon node and the first correction and coordinate error correction results, so as to obtain the final position of the target node. The method is adapted to marine wireless sensor network with relatively high dynamics, and can provide real-time and 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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