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空间通信与星际组网技术的发展 被引量:2
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作者 王静 《计算机与网络》 2014年第12期53-57,共5页
目前,人类对太空利用的不断发展对空间通信与组网技术提出了更高的要求,为了更深入地研究空间通信与组网,对深空中的通信和组网技术的研究进展进行了描述,梳理了空间通信与组网相关的技术标准和协议,列举了2个典型的空间通信开发实例;... 目前,人类对太空利用的不断发展对空间通信与组网技术提出了更高的要求,为了更深入地研究空间通信与组网,对深空中的通信和组网技术的研究进展进行了描述,梳理了空间通信与组网相关的技术标准和协议,列举了2个典型的空间通信开发实例;对深空网络、IPN和DTN技术及其研究进展进行了综述,以期对空间通信与组网技术的研究提供一定的帮助。 展开更多
关键词 空间通信 星际组网 IPN DTN
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Efficient Broadcast Retransmission Based on Network Coding for InterPlaNetary Internet 被引量:1
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作者 苟亮 边东明 +2 位作者 张更新 徐志平 申振 《China Communications》 SCIE CSCD 2013年第8期111-124,共14页
In traditional wireless broadcast networks,a corrupted packet must be retransmitted even if it has been lost by only one receiver.Obviously,this is not bandwidth-efficient for the receivers that already hold the retra... In traditional wireless broadcast networks,a corrupted packet must be retransmitted even if it has been lost by only one receiver.Obviously,this is not bandwidth-efficient for the receivers that already hold the retransmitted packet.Therefore,it is important to develop a method to realise efficient broadcast transmission.Network coding is a promising technique in this scenario.However,none of the proposed schemes achieves both high transmission efficiency and low computational complexity simultaneously so far.To address this problem,a novel Efficient Opportunistic Network Coding Retransmission(EONCR)scheme is proposed in this paper.This scheme employs a new packet scheduling algorithm which uses a Packet Distribution Matrix(PDM)directly to select the coded packets.The analysis and simulation results indicate that transmission efficiency of EONCR is over 0.1,more than the schemes proposed previously in some simulation conditions,and the computational overhead is reduced substantially.Hence,it has great application prospects in wireless broadcast networks,especially energyand bandwidth-limited systems such as satellite broadcast systems and Planetary Networks(PNs). 展开更多
关键词 wireless broadcast retransmission opportunistic network coding packet scheduling transmission efficiency computational complexity PN
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