10th EAI International Conference on Communications and Networking in China

Research Article

An Active Distributed QoS Routing for LEO Satellite Communication Network

  • @INPROCEEDINGS{10.4108/eai.15-8-2015.2260873,
        author={Zhen-Yu Na and Zhi-An Deng and Nan Chen and Zi-He Gao and Qing Guo},
        title={An Active Distributed QoS Routing for LEO Satellite Communication Network},
        proceedings={10th EAI International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2015},
        month={9},
        keywords={leo satellite network; qos; traffic prediction; distributed routing; mobile agent},
        doi={10.4108/eai.15-8-2015.2260873}
    }
    
  • Zhen-Yu Na
    Zhi-An Deng
    Nan Chen
    Zi-He Gao
    Qing Guo
    Year: 2015
    An Active Distributed QoS Routing for LEO Satellite Communication Network
    CHINACOM
    IEEE
    DOI: 10.4108/eai.15-8-2015.2260873
Zhen-Yu Na1,*, Zhi-An Deng1, Nan Chen1, Zi-He Gao2, Qing Guo3
  • 1: School of Information Science and Technology, Dalian Maritime University
  • 2: Institute of Telecommunication Satellite, China Academy of Space Technology
  • 3: Communication Research Center, Harbin Institute of Technology
*Contact email: nazhenyu@dlmu.edu.cn

Abstract

Low earth orbit (LEO) satellite network has many advantages of global coverage and short delay, playing an important role in future global communications. To design effective routing strategy has always been a challenging task to LEO satellite network because of frequent handover, fast speed, time-varying topology and surging demands on multimedia traffic around the globe. An active distributed QoS routing strategy was proposed in this paper. First, three types of mobile agents (MAs) were used in the strategy to accomplish routing process. Second, traffic prediction was adopted to avoid congestion and make routing decision. Third, link duration was introduced into a cost function to find optimum path which simultaneously satisfy multiple QoS constraints. Simulation results show that the proposed strategy has better CBP and CDP.