受限网络带宽下遥操作机器人的视频传输控制

上海交通大学学报（自然版） ›› 2014, Vol. 48 ›› Issue (12): 1700-1707.

• 自动化技术、计算机技术 • 上一篇下一篇

受限网络带宽下遥操作机器人的视频传输控制

李梁，王贺升，陈卫东

(上海交通大学自动化系，系统控制与信息处理教育部重点实验室，上海 200240)

收稿日期:2014-03-25
基金资助:
国际热核聚变实验堆(ITER)计划专项(国内研究) (2012GB102001)

Video Transmission Control Under Limited Network Bandwidth for Robot Teleoperation

LI Liang,WANG Hesheng,CHEN Weidong

(Department of Automation, Key Laboratory of System Control and Information Processing of the Ministry of Education, Shanghai Jiaotong University, Shanghai 200240, China)

Received:2014-03-25

摘要/Abstract

摘要：

摘要：针对搭载多个视像传感器的遥操作机器人系统，提出一套适用于遥操作系统网络应用层的视像传输带宽分配算法.根据遥操作机器人当前执行的任务计算得到各视像的传输权重，采用多目标优化方法，在总传输数据量不超过系统传输带宽的前提下，依据权重公平将传输带宽分配给各个视像传感器.该算法对于带宽受限的传输网络，通过修改视像采集分辨率与帧率达到控制传输带宽的目的，避免了因网络拥堵导致的传输丢帧现象，从而保障传输视像的实时性和完整性，使系统可以依赖于视觉图像质量完成遥操作任务.设计的算法已运用于实际变电站环境中的巡检机器人，为系统提供流畅完整的视频传输服务，验证了算法的实用性.

关键词: 遥操作机器人, 流媒体传输, 带宽分配

Abstract:

Abstract： This paper presented a bandwidth allocation algorithm for video transmission in robot remote control system. There are multiple video sensors equipped on the robot. The transmission weight of each video was calculated according to the current tasks being executed by the robot. In multiobjective optimization, the algorithm distributeed the transmission bandwidth fairly to each video sensor based on their weight, and could guarantee that the total transmission bandwidth never exceeds the transmission bandwidth provided by the network. The transmission bandwidth was controlled by modifying the resolution and frame rate of the video acquisition. The algorithm reduced the lose rate of frames caused by network congestion, thus protects the integrity of realtime video, makes the teleoperation tasks of the system complete which depend on the visual image quality. The algorithm is tested by inspection tasks in an actual power plant environment. Smooth video transmission service has been provided and the practicability of the algorithm is also verified.

Key words: streaming media transmission, bandwidth allocation, teleoperation robot

中图分类号:

TP 249

李梁，王贺升，陈卫东. 受限网络带宽下遥操作机器人的视频传输控制[J]. 上海交通大学学报（自然版）, 2014, 48(12): 1700-1707.

LI Liang,WANG Hesheng,CHEN Weidong. Video Transmission Control Under Limited Network Bandwidth for Robot Teleoperation[J]. Journal of Shanghai Jiaotong University, 2014, 48(12): 1700-1707.

参考文献

［1］Braden R, Zhang L, Berson S. Resource reservation protocol (RSVP) ［EP/OL］. (199709) ［20140220］. http:∥www.hjp.at/doc/rfc/rfc2205.html.

［2］Pan P, Schulzrinne H. A simple reservation mechanism for the internet［J］.ACM SIGCOMM Computer Communication Review, 1999, 29(2):89101.

［3］Asokan R, Natarajan A M.An approach for reducing the endtoend delay and increasing network lifetime in mobile adhoc networks［J］. International Journal of Information Technology, 2008, 2(1): 1226.

［4］Kunniyur S, Srikant R. Endtoend congestion control schemes: Utility functions, random losses and ECN Marks［J］. IEEE/ACM Transactions on Networking,200310 11(5): 689702.

［5］Paskalis S, Merakos L, Kaloxylos A. A survey of internet QoS signaling［J］. IEEE Communications Surveys & Tutorials, 2004, 6(4): 3243.

［6］Katabi D, Handley M, Rohrs C. Congestion control for high bandwidthdelay product networks［J］.ACM SIGCOMM Computer Communication Review, 2002, 32(4):89102.

［7］Wang Xiaokai, Du Wenzhuo, Zheng Dongmei. A class of the wireless sensor networks QoS description and evaluation［C］∥Third International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). Shanghai, China: IEEE, 2011: 1619.

［8］李方敏，李恒，刘新华.无线多媒体传感器网络体系结构及QoS保障机制［J］. 计算机科学, 2009, 36(6): 1925.

LI Fangmin, LI Heng, LIU Xinhua. Survey on architecture and QoS for wireless multimedia sensor networks［J］.Computer Science, 2009,36(6):1925.

［9］Rafael C G, Richard E W. Digital image processing［M］. 3rd ed. Beijing: Electronic Industry Press, 2011: 4445.

［10］Low S H, Lapsley D E. Optimization flow controlI: Basic algorithm and convergence［J］. IEEE/ACM Transactions on Networking,1999, 7(6): 861874.

［11］Sawaragi Y. Nakayama H, Tanino T. Theory of multiobjective optimization［M］. 1st ed. Orlando, FL: Academic Press Inc, 1985.