Abstract
Maritime search and rescue (MSR), as the last defense line for the life at sea, plays a great role in shipping industry and ocean environment protection. MSR is attracting more and more attention from technical and scientific aspects which are expected to help locate the victim goals quickly, precisely, and efficiently. So far, there have been some new techniques applied to MSR, such as computer vision. However, these techniques have a common drawback that they are too dependent on the effort of the search and rescue party, so that the victim goals can only passively wait for their search. To change this kind of passive status, wireless sensor network (WSN) is the deficiencies of the current maritime search and rescue. To make WSN localization suitable for the MSR, an improved microelectromechanical systems MEMS aided algorithm on the basis of triangle and centroid algorithm is proposed to locate and track the search targets in real time and more precisely. Finally, the simulation results show that the proposed method and algorithm are feasible and efficient.
Highlights
With the continuous development of the entire world shipping industry and the increasing number of ships at sea, it becomes a bigger challenge for the ships to be kept safe at sea, so the accidents often happen
Many techniques like radar and computer vision have been applied to maritime search and rescue, it still cannot change the situation that the victim goals can only passively wait for the searching of the search and rescue party
In order to make the localization more accurate, we introduce a microelectromechanical systems (MEMS) aided method to optimize the original position of the unknown node
Summary
With the continuous development of the entire world shipping industry and the increasing number of ships at sea, it becomes a bigger challenge for the ships to be kept safe at sea, so the accidents often happen. The first thing is to search and rescue the floating staff to protect their lives and properties. Search and rescue consists of two parts: searching and rescuing, and searching and determining the position of the floating staff is the key to success. The use of WSN localization can adapt to the complex environment well at sea. For the environment at sea and the target of low cost and low power, this paper merges the advantages of range based localization and nonrange localization. We take RSSI measures to achieve the distances and propose an improved triangle and centroid algorithm, and when we get the original positions of floating staff, we can use MEMS technique to optimize the position information.
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