无线多媒体传感器网络拥塞感知的流控制机制

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南京大学学报(自然科学版) ›› 2014, Vol. 50 ›› Issue (2) : 173.

曹磊1,3，韩涛2，张婧2，沈航3，白光伟3

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Congestion-ware flow control strategy in wireless multimedia sensor networks

Cao Lei1, 3, Han Tao2, Zhang Jing2, Sheng Hang3, Bai Guangwei3

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摘要

研究和改进无线多媒体传感器网络实时传输视频数据的性能首先深入分析和研究在无线传感器网络环境下实时传输MPEG视频流存在的主要问题，在此基础上，提出一种基于跨层设计的拥塞感知通信流量控制机制其基本思路是根据MPEG编码视频序列的特点，当无线链路质量变差，通信拥塞可能出现时，发送节点主动丢弃部分对接收方播放质量不太重要的低优先级视频帧数据，以降低通信负载，增加高优先级视频帧的成功传送概率。这一策略可以改进视频流在接收方的播放质量，同时减少不必要的能耗。仿真实验结果表明该策略有效克服了性能瓶颈，提高了无线多媒体传感器网络实时多媒体传输的服务质量。

Abstract

The purpose of this paper is to study and improve the performance of real-time media streaming in wireless multimedia sensor networks (WMSNs). This work begins with thorough investigation and understanding of the performance bottleneck of real-time MPEG video transmission over WMSNs. By analyzing the relationship between end-to-end throughput and video frame rate, we choose IFQ queue length as an important indicator of network congestion. On this basis, an adaptive flow control strategy based on cross-layer design is proposed for performance improvement of wireless media streaming. Our strategy works as follows when the wireless link condition is getting poor, a sensor node discards partial low-priority video frames actively so as to increase the probability that high-priority video frames are delivered successfully. This strategy could contribute to improve video playing quality, while reducing unnecessary energy consumption. To verify the effectiveness of this strategy, this paper set up two groups of experiments, a simple one without background traffic flow and a complex scenario with interference from other nodes. A series of key parameters, such as average end-to-end delay, packet loss rate, decodable frame ratio are considered with different video frame rates. Our simulation results demonstrate that the proposed strategy alleviates the performance bottleneck and achieves significant performance improvement for real-time media streaming over WMSNs.

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曹磊1,3，韩涛2，张婧2，沈航3，白光伟3. 无线多媒体传感器网络拥塞感知的流控制机制[J]. 南京大学学报(自然科学版), 2014, 50(2): 173

Cao Lei1, 3, Han Tao2, Zhang Jing2, Sheng Hang3, Bai Guangwei3. Congestion-ware flow control strategy in wireless multimedia sensor networks[J]. Journal of Nanjing University(Natural Sciences), 2014, 50(2): 173

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