Open Access

ARTICLE

An Edge Computing Algorithm Based on Multi-Level Star Sensor Cloud

Siyu Ren¹, Shi Qiu^2,*, Keyang Cheng³

1 The Open University of Chengdu, Major in Computer Application, Chengdu, 610000, China
2 Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences. Xi’an, 710119, China
3 School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, 212013, China

* Corresponding Author: Shi Qiu. Email:

(This article belongs to the Special Issue: Advances in Edge Intelligence for Internet of Things)

Computer Modeling in Engineering & Sciences 2023, 136(2), 1643-1659. https://doi.org/10.32604/cmes.2023.025248

Received 30 June 2022; Accepted 14 October 2022; Issue published 06 February 2023

Abstract

Star sensors are an important means of autonomous navigation and access to space information for satellites. They have been widely deployed in the aerospace field. To satisfy the requirements for high resolution, timeliness, and confidentiality of star images, we propose an edge computing algorithm based on the star sensor cloud. Multiple sensors cooperate with each other to form a sensor cloud, which in turn extends the performance of a single sensor. The research on the data obtained by the star sensor has very important research and application values. First, a star point extraction model is proposed based on the fuzzy set model by analyzing the star image composition, which can reduce the amount of data computation. Then, a mapping model between content and space is constructed to achieve low-rank image representation and efficient computation. Finally, the data collected by the wireless sensor is delivered to the edge server, and a different method is used to achieve privacy protection. Only a small amount of core data is stored in edge servers and local servers, and other data is transmitted to the cloud. Experiments show that the proposed algorithm can effectively reduce the cost of communication and storage, and has strong privacy.

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Keywords

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