An on-demand data transmission mechanism for LEO remote sensing satellite

被引:0
|
作者
Bi, Mengge [1 ]
Xu, Weilin [2 ]
Hou, Ronghui [3 ]
机构
[1] School of Telecommunications Engineering, Xidian University, Xi'an,710071, China
[2] China Academy of Space Technology (Xi'an), Xi'an,710000, China
[3] School of Cyber Engineering, Xidian University, Xi'an,710071, China
基金
中国国家自然科学基金;
关键词
Communication satellites - Routing algorithms - Data transfer - Satellite ground stations - Remote sensing - Simulation platform;
D O I
10.13700/j.bh.1001-5965.2018.0609
中图分类号
学科分类号
摘要
Aimed at the shortcomings of the existing data downlink mechanisms for low earth orbit (LEO) remote sensing satellite, such as low effiency, high delay and vulnerable transmission path, a new remote sensing data transmission mechanism was proposed. In the proposed mechanism, earth stations were supported to locate remote sensing image resources in real time on demand, and in the process, the transmission path from the positioning satellite to earth station was established. Taking into account the limited visual time between the cooperative satellite and the earth station, when transmission path is established, a routing algorithm was proposed based on the maximization of the path persistent service time to reduce the transmission delay caused by the change of the cooperative satellite. The designed data transmission mechanism was implemented based on the NS3 simulation platform. The experimental results show that the proposed mechanism can reduce the data transmission delay and data loss compared with the existing data transmission mechanism. © 2019, Editorial Board of JBUAA. All right reserved.
引用
收藏
页码:1467 / 1473
相关论文
共 50 条
  • [1] On-demand routing in LEO satellite systems
    Karapantazis, Stylianos
    Papapetrou, Evangelos
    Pavlidou, Fotini-Niovi
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-14, 2007, : 26 - +
  • [2] On-Demand Processing for Remote Sensing Big Data Analysis
    Huang, Zhenchun
    Zhong, Anrun
    Li, Guoqing
    [J]. 2017 15TH IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED PROCESSING WITH APPLICATIONS AND 2017 16TH IEEE INTERNATIONAL CONFERENCE ON UBIQUITOUS COMPUTING AND COMMUNICATIONS (ISPA/IUCC 2017), 2017, : 1241 - 1245
  • [3] Multiservice On-Demand Routing in LEO Satellite Networks
    Karapantazis, S.
    Papapetrou, E.
    Pavlidou, F. -N.
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2009, 8 (01) : 107 - 112
  • [4] Distributed on-demand routing for LEO satellite systems
    Papapetrou, E.
    Karapantazis, S.
    Pavlidou, F. -N.
    [J]. COMPUTER NETWORKS, 2007, 51 (15) : 4356 - 4376
  • [5] A secure channel coding scheme for efficient transmission of remote sensing data over the LEO satellite channels
    Payandeh, Ali
    Ahmadian, Mahmoud
    Aref, Mohammad Reza
    [J]. 2007 3RD INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SPACE TECHNOLOGIES, VOLS 1 AND 2, 2007, : 510 - +
  • [6] Accelerating Remote Sensing Data Analysis Workflows by On-demand Processing
    Huang, Zhen-chun
    Tian, Zhuo-jing
    [J]. 2018 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL MODELING, SIMULATION AND APPLIED MATHEMATICS (CMSAM 2018), 2018, 310 : 146 - 151
  • [7] Data Infrastructure for Remote Sensing Big Data: Integration, Management and On-Demand Service
    Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing
    100094, China
    不详
    100084, China
    [J]. Jisuanji Yanjiu yu Fazhan, 2 (267-283):
  • [8] An Anti-Interference On-Demand Routing Algorithm for LEO Satellite Networks
    Peng, Siqi
    Liu, Jing
    Weng, Hengyu
    [J]. 2022 IEEE 95TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-SPRING), 2022,
  • [9] An agent infrastructure for on-demand processing of remote-sensing archives
    Yang, Yanyan
    Rana, Omer F.
    Walker, David W.
    Williams, Roy
    Georgousopoulos, Christos
    Caffaro, Massimo
    Aloisio, Giovanni
    [J]. INTERNATIONAL JOURNAL ON DIGITAL LIBRARIES, 2005, 5 (02) : 120 - 132
  • [10] A robust lossless data hidden transmission method for satellite remote sensing image
    National Key Laboratory of Science and Technology on Space Microwave Technology, Xi'an Institute of Space Radio Technology, Xi'an
    710100, China
    [J]. Yuhang Xuebao, 3 (315-323):