期刊文献+

无线多媒体传感器网络中一种自适应的报头压缩机制 被引量:14

An Adaptive Header Compression Scheme in Wireless Multimedia Sensor Networks
下载PDF
导出
摘要 无线多媒体传感器网络传输大数据量的音频、视频、图像等数据,需要高效地利用宝贵的无线信道资源.报头压缩技术能够减小传输的数据量,提高信道利用效率.提出一种自适应的报头压缩机制AAHC,基于对信道状态的准确估计,动态调整压缩算法的参数,并使用UDP(user datagram protocol)Lite协议作为传输层协议.AAHC机制在获得较高压缩效率的同时,可保证报头压缩的抗差错鲁棒性.仿真结果表明,AAHC机制的性能优于传统的ROHC(robust header compression)机制和CRTP(compressed RTP)机制. Wireless multimedia sensor networks (WMSNs) transfer information-intensive data (e.g. audio, video, image), so it is necessary to utilize wireless channel efficiently. Header compression is a useful mechanism which can reduce the amount of data transferred and can characteristics of WMSNs, an advanced adaptive header improve channel utilization efficiency. Based on the compression (AAHC) scheme is proposed, which adjusts the parameters of compression algorithm according to the exact estimation of wireless channel state and adopts UDP (user datagram protocol) Lite as its transport layer protocol. This scheme can get high compression ratio and error-resistant robustness at the same time. The simulation results show that AAHC scheme outperforms the traditional ROHC (robust header compression) scheme and CRTP (compressed RTP) scheme.
出处 《软件学报》 EI CSCD 北大核心 2007年第5期1122-1129,共8页 Journal of Software
基金 Supported by the National Natural Science Foundation of China under Grant Nos.60472076 60673178 60434030(国家自然科学基金) the National Grand Fundamental Research973Program of China under Grant No.2006CB303007(国家重点基础研究发展规划(973)) the National High-Tech Research and Development Plan of China under Grant.Nos.2006AA01Z218 2006AA01Z215(国家高技术研究发展计划(863))
关键词 无线多媒体传感器网络 报头压缩 W-LSB(window-based least significant bits)编码 UDP(user DATAGRAM protocol)Lite wireless multimedia sensor network header compression W-LSB (window-based least significant bits) encoding UDP (user datagram protocol) Lite
  • 相关文献

参考文献2

二级参考文献56

  • 1Ganesan D, Govindan R, Shenker S, Estrin D. Highly-Resilient, energy-efficient multipath muting in wireless sensor networks.Mobile Computing and Communications Review, 2002,1(2):295-298.
  • 2Braginsky D, Estrin D. Rumor routing algorithm for sensor networks. In: Raghavendra CS, ed. Proceedings of the 1st Workshop on Sensor Networks and Applications. New York: ACM Press, 2002.
  • 3Girod L, Bychkovskiy V, Elson J, Estrin D. Locating tiny sensors in time and space: A case study. In: Manoli Y, Kim KS, eds.Proceedings of the International Conference on Computer Design. Piscataway: IEEE Press, 2002. 195-204.
  • 4Bulusu N, Estrin D, Girod L, Heidemann J. Scalable coordination for wireless sensor networks: Self-Configuring localization systems. 2001. http://lecs.cs.ucla.edu/-bulusu/papers/Bulusu01c.html.
  • 5Cerpa A, Estrin D. ASCENT: Adaptive self-configuring sensor networks topologies. In: Kermani P, ed. Proceedings of the 21st International Annual Joint Conference of the IEEE Computer and Communications Societies. Piscataway: IEEE Press, 2002.101-111
  • 6Elson J. Time synchronization services for wireless sensor networks. In: Kumar V, ed. Proceedings of the 15th International Parallel & Distributed Processing Symposium. 2001. Los Alamitos: IEEE Computer Press, 2001. 1965-1970.
  • 7Ye W, Heidemann J, Estrin D. An energy-efficient MAC protocol for wireless sensor networks. In: Kermani P, ed. Proceedings of the 21st International Annual Joint Conference of the IEEE Computer and Communications Societies. Piscataway: IEEE Press,2002.91-100.
  • 8Heidemann J, Silva F, Intanagonwiwat C. Building efficient wireless sensor networks with low level naming. In: Marzullo K, ed.Proceedings of the 18th ACM Symposium on Operating System Principles. New York: ACM Press, 2001. 146-159.
  • 9Intanagonwiwat C, Govindan R, Estrin D, Heidemann J, Silva F. Directed diffusion for wireless sensor networking. ACM/IEEE Transactions on Networking, 2002, 11(1):2-16.
  • 10Liu J, Cheung P, Ouibas L, Zhao F. A dual-space approach to tracking and sensor management in wireless sensor networks. In:Reghavendrv CS, ed. Proceedings of the ACM International Workshop on Wireless Sensor Networks and Applications. New York:ACM Press, 2002. 162-173.

共引文献628

同被引文献177

引证文献14

二级引证文献123

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部