A Novel Adaptive Routing Algorithm with Traffic Prediction for LEO Satellite Networks
Low Earth Orbit (LEO) satellite networks which provide global coverage and short round-trip delays are becoming more and more important in recent years. One of the challenging issues in LEO satellite networks is to develop specialized and efficient routing algorithms. An adaptive routing algorithm with traffic prediction (TPARA) is proposed in the paper. In TPARA, traffic prediction model forecasts the upcoming traffic from the terrestrial and revises the routing decision. Mobile agent traverses the whole network and collects the routing information. The routing decision strategy is not only depending on the current state of satellite networks, but also related to the future state of satellite nodes.
adaptive routing traffic prediction mobile agent satellite networks
Zihe Gao Qing Guo Zhenyu Na
Communication Research Center Harbin Institute of Technology Harbin,China
国际会议
太原
英文
67-71
2011-02-26(万方平台首次上网日期,不代表论文的发表时间)