针对视频在网络传输过程中的时延、拥塞和丢包率高等问题,提出了一种基于非平衡多描述编码的视频网络传输质量保证算法,在检测网络链路可用带宽的基础上,通过马尔科夫模型预判网络链路的拥塞状态并据此调整视频传输路径。实验表明,与RED...针对视频在网络传输过程中的时延、拥塞和丢包率高等问题,提出了一种基于非平衡多描述编码的视频网络传输质量保证算法,在检测网络链路可用带宽的基础上,通过马尔科夫模型预判网络链路的拥塞状态并据此调整视频传输路径。实验表明,与RED(random early detection)算法相比,该算法更能有效地估计网络拥塞状况、降低视频丢包率和减少网络延迟,从而更有效地保证视频网络传输质量。展开更多
A new Network Coding mechanism in WSNs(Wireless Sensor Networks), which is named COEQ and aims at balancing coding opportunities, energy and QoS, is proposed and analyzed. Implemented on the basis of traditional AODV ...A new Network Coding mechanism in WSNs(Wireless Sensor Networks), which is named COEQ and aims at balancing coding opportunities, energy and QoS, is proposed and analyzed. Implemented on the basis of traditional AODV protocol, COEQ evaluates several metrics of paths comprehensively with TOPSIS method including minimum remaining energy, coding opportunities, QoS and so on, so as to select the optimal transmitting route. Experiments on NS[2] show that COEQ can improve throughput and save energy when the transmitting rate is low.展开更多
文摘针对视频在网络传输过程中的时延、拥塞和丢包率高等问题,提出了一种基于非平衡多描述编码的视频网络传输质量保证算法,在检测网络链路可用带宽的基础上,通过马尔科夫模型预判网络链路的拥塞状态并据此调整视频传输路径。实验表明,与RED(random early detection)算法相比,该算法更能有效地估计网络拥塞状况、降低视频丢包率和减少网络延迟,从而更有效地保证视频网络传输质量。
基金supported by the Chinese National Natural Science Foundation(No:61070204,61101108)Funding Project for Academic Human Resources Development in Institutions of Higher Learning Under the Jurisdiction of Beijing Municipality(11530500015)
文摘A new Network Coding mechanism in WSNs(Wireless Sensor Networks), which is named COEQ and aims at balancing coding opportunities, energy and QoS, is proposed and analyzed. Implemented on the basis of traditional AODV protocol, COEQ evaluates several metrics of paths comprehensively with TOPSIS method including minimum remaining energy, coding opportunities, QoS and so on, so as to select the optimal transmitting route. Experiments on NS[2] show that COEQ can improve throughput and save energy when the transmitting rate is low.