将计时控制机制引入网络编码从而进一步提升它的性能。经研究发现当网络带宽充足的时候,通过等待额外的可执行网络编码的数据将增加编码数目,而同时引入的额外延迟不对系统吞吐量造成影响;当网络带宽不足时,系统延迟和吞吐量都将受到影...将计时控制机制引入网络编码从而进一步提升它的性能。经研究发现当网络带宽充足的时候,通过等待额外的可执行网络编码的数据将增加编码数目,而同时引入的额外延迟不对系统吞吐量造成影响;当网络带宽不足时,系统延迟和吞吐量都将受到影响。提出了一种能量高效的自适应计时控制机制(adaptive energy-efficient timing control in wireless networks with network coding,AEETC)。该机制通过基于网络流量的情况自动调节自身行为来增加网络编码数量,从而减少能量的消耗。实验结果表明在网络负载较轻的条件下AEETC可以显著增加网络编码的数量,同时在端到端延迟、系统吞吐量和成功编码数量等指标上有很好的性能。展开更多
The throughput gain obtained by linear network coding （LNC） grows as the generation size increases, while the decoding complexity also grows exponentially. High decoding complexity makes the decoder to be the bottle...The throughput gain obtained by linear network coding （LNC） grows as the generation size increases, while the decoding complexity also grows exponentially. High decoding complexity makes the decoder to be the bottleneck for high speed and large data transmissions. In order to reduce the decoding complexity of network coding, a segment linear network coding （SLNC） scheme is proposed. SLNC provides a general coding structure for the generation-based network coding. By dividing a generation into several segments and restraining the coding coefficients of the symbols within the same segment, SLNC splits a high-rank matrix inversion into several low-rank matrix inversions, therefore reduces the decoding complexity dramatically. In addition, two coefficient selection strategies are proposed for both centrally controlled networks and distributed networks respectively. The theoretical analysis and simulation results prove that SLNC achieves a fairly low decoding complexity at a cost of rarely few extra transmissions.展开更多
文摘将计时控制机制引入网络编码从而进一步提升它的性能。经研究发现当网络带宽充足的时候,通过等待额外的可执行网络编码的数据将增加编码数目,而同时引入的额外延迟不对系统吞吐量造成影响;当网络带宽不足时,系统延迟和吞吐量都将受到影响。提出了一种能量高效的自适应计时控制机制(adaptive energy-efficient timing control in wireless networks with network coding,AEETC)。该机制通过基于网络流量的情况自动调节自身行为来增加网络编码数量,从而减少能量的消耗。实验结果表明在网络负载较轻的条件下AEETC可以显著增加网络编码的数量,同时在端到端延迟、系统吞吐量和成功编码数量等指标上有很好的性能。
基金The National Natural Science Foundation of China(Nos.61071117,61171158,61275077)the Natural Science Foundation Project of CQ CSTC(Nos.cstc2013jcyjA40052,cstc2012jjA40060)the Projects of the Education Council of Chongqing(No.KJ130515)
基金supported by the National Great Science Specific Project of China (2012ZX03001028)
文摘The throughput gain obtained by linear network coding （LNC） grows as the generation size increases, while the decoding complexity also grows exponentially. High decoding complexity makes the decoder to be the bottleneck for high speed and large data transmissions. In order to reduce the decoding complexity of network coding, a segment linear network coding （SLNC） scheme is proposed. SLNC provides a general coding structure for the generation-based network coding. By dividing a generation into several segments and restraining the coding coefficients of the symbols within the same segment, SLNC splits a high-rank matrix inversion into several low-rank matrix inversions, therefore reduces the decoding complexity dramatically. In addition, two coefficient selection strategies are proposed for both centrally controlled networks and distributed networks respectively. The theoretical analysis and simulation results prove that SLNC achieves a fairly low decoding complexity at a cost of rarely few extra transmissions.
