期刊文献+

一种无线传感器网络拥塞控制机制 被引量:4

A Congestion Control Scheme in Wireless Sensor Networks
下载PDF
导出
摘要 无线传感器网络的拥塞会增加网络延迟、降低网络吞吐量、尤其不利于传感器网络的节能。该文提出了一种能量有效的无线传感器网络拥塞控制机制,主要包括逐跳拥塞反馈和速率调节两部分。节点周期性地计算其上游节点发送速率和本地缓冲队列可用空间,并根据一定策略来推测在当前周期内发生拥塞的可能性;拥塞节点的上游节点收到拥塞反馈后根据自身缓冲队列的使用情况来降低速率,此拥塞节点同时向其下游节点申请提高发送速率;基站根据应用要求以闭环方式调节源速率。仿真实验表明,该文的拥塞控制机制不仅能有效地缓解网络拥塞,还保持了网络吞吐量的稳定并具有良好的能源有效性。 Wireless sensor networks congestion often leads to increasing network latency, decreasing througnput and wasting the limited sensor node energy. In this paper, an energy-efficient congestion control scheme, which can alleviate congestion in wireless sensor networks, is proposed. The scheme includes hop-by-hop congestion message feedback and rate adjustment. Node periodically samples its queue occupancy and the packet rates of its upstream neighbors, and infers whether congestion will occur in the current time interval. Upon receiving the congestion feedback, these upstream nodes decrease their rate according to their local queue occupancies. Furthermore, sink adjusts the source rate related to some event which is beyond or below the application fidelity. The simulation results show that the proposed scheme is more effective and energy-efficient in congestion alleviation than CODA.
出处 《电子与信息学报》 EI CSCD 北大核心 2008年第10期2494-2498,共5页 Journal of Electronics & Information Technology
基金 国家自然科学基金重点项目(60533110)资助课题
关键词 无线传感器网络 拥塞控制 速率调节 Wireless sensor networks Congestion control Data rate adjustment
  • 相关文献

参考文献13

  • 1Chong C, Kumar S, and Hamilton B. Sensor networks: Evolution, opportunities and challenges. Proc. IEEE, 2003, 9(18): 247-256.
  • 2任丰原,黄海宁,林闯.无线传感器网络[J].软件学报,2003,14(7):1282-1291. 被引量:1709
  • 3崔莉,鞠海玲,苗勇,李天璞,刘巍,赵泽.无线传感器网络研究进展[J].计算机研究与发展,2005,42(1):163-174. 被引量:730
  • 4Tilak S, Abu-Ghazaleh N, and Heinzelman W. Infrastructure tradeoffs for sensor networks. Proceedings of first international workshop on Wireless Sensor Networks and Applications, Atanta, USA, 2002: 49-59.
  • 5Wang C, Sohraby K, and Li B, et al.. A survey of transport protocols for wireless sensor networks. IEEE Network, 2006, 20(3): 34-40.
  • 6李凌,周兴社,李士宁,李志刚,郑勇.基于无线传感器网络的拥塞控制算法的研究与比较[J].计算机应用研究,2006,23(3):11-13. 被引量:16
  • 7Sankaasubramanianm Y, Akan O, and Akyildiz I. Event-to-Sink reliable transport in wireless sensor networks. IEEE/ACM Transactions on Networking, 2005, 13(5): 1003-1016.
  • 8Wan C Y, Eisenman S, and Campbell A. CODA: Congestion detection and avoidance in sensor network. Proceedings of ACM first conference on Sensor System, Los Angeles, USA, 2003: 266-278.
  • 9Hull B, Jamieson K, and Balakrishnan H. Mitigating congestion in wireless sensor networks. Proceedings of ACM second conference on Sensor System, Baltimore, USA, 2004: 134-147.
  • 10Cheng Tien Ee and Ruzena Bajcsy. Congestion control and fairness for many-to-one routing in sensor networks. Proceedings of ACM second conference on Sensor System, Baltimore, USA, 2004: 148-161.

二级参考文献126

  • 1ALERT. http://www.altersystem.org.
  • 2Bonnet P, Gehrke J, Seshadri P. Querying the physical world. IEEE Personal Communication, 2000,7(5):10-15.
  • 3Noury N, Herve T, Rialle V, Virone G, Mercier E. Monitoring behavior in home using a smart fall sensor. In: Proceedings of the IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology. Lyon: IEEE Computer Society, 2000.607~610.
  • 4Sensor Webs. http://sensorwebs.jpl.nasa.gov/.
  • 5Shill E, Cho S, Ickes N, Min R, Sinha A, Wang A, Chandrakasan A. Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks. In: Proceedings of the ACM MobiCom 2001. Rome: ACM Press, 2001. 272-286.
  • 6Akyildiz I.F, Su W, Sankarasubramaniam Y, Cayirci E. Wireless sensor network: A survey. Computer Networks, 2002,38(4):393~422.
  • 7Asada G, Dong M, Lin TS, Newberg F, Pottle .G, Kaiser WJ, Marcy HO. Wireless integrated network sensors (WINS) for tactical information systems. In: Proceedings of the 1998 European Solid State Circuits Conference. New York: ACM Press, 1998. 15-20.
  • 8Sohrabi K, Pottie GJ. Performance of a novel self-organization protocol for wireless Ad hoc sensor networks. In: Proceedings of the IEEE 50th Vehicular Technology Conference. Amsterdam, 1999. 1222~1226.
  • 9Sinhua A, Chandrakasan A. Dynamic power management in wireless sensor network. IEEE Design and Test of Computer, 2001,18(2):62~74.
  • 10Lm C, Kim H, Ha S. Dynamic voltage scheduling technique for low-power multimedia application using buffers. In: Proceedings of the International Symposium on Low Power Electronics and Design. California: ACM Portal Press, 2001. 34~39.http://eeserver.korea.ac.kr/-bk21/arch/bk21 conf/26.pdf.

共引文献2288

同被引文献39

  • 1李志,纪震.无线TCP环境中的ECN标记策略算法研究[J].深圳大学学报(理工版),2007,24(2):144-148. 被引量:2
  • 2李锐,史杏荣.基于ECN与ELN提高无线网络TCP性能的方法[J].计算机工程与应用,2007,43(16):159-161. 被引量:2
  • 3SANKARASUBRAMANIAM Y, AKAN O B, AKYILDIZ I. ESRT: Event-to-sink reliable transport in wireless sensor networks [ C]// Proceedings of the 4th ACM Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc). New York: ACM Press, 2003: 177 - 188.
  • 4WAN C, EISENMAN S, CAMPBELL A. CODA: Congestion detection and avoidance in sensor networks[ C]// Proceedings of the 1 st International Conference on Embedded Networked Sensor Systems. New York: ACM Press, 2003:266 -279.
  • 5EE C T, BAJCSY R. Congestion control and fairness for many-to- one routing in sensor networks[ C]// Proceedings of the 2nd ACM Conference on Embedded Networked Sensor Systems ( SenSys). New York: ACM Press, 2004: 148- 161.
  • 6WANG C, SOHRABY M K, DANESHMAND M, et al. Upstream congestion control in wireless sensor networks through cross-layer optimization[ J]. IEEE Journal on Selected Areas in Communications, 2007, 25(4) : 786 -795.
  • 7AKYILDIZ I F, TOMMASO M, CHOWDHURY K R. A survey on wireless multimedia sensor networks[ J]. Computer Networks, 2007, 51(4): 921 -960.
  • 8I F Akyildiz. W Su. Y Sankarasubrarnaniam. et al.A survey on sensor networks [J] IEEE Communications Magazine,2002,40 (8).
  • 9Y. Sankarasubramaniam ,. O. B. Akan., I. F. Akyildiz. ESRT: Event-to-Sink Reliable Transport in Wireless Sensor Networks [M].Proc of the 4th ACM Intl Symp on Mobile Ad Hoc Net- working and Computing.2003.
  • 10C Y wan ,.S B Eisenman ,. A T Campbell. CODA: congestion detection and avoidance in sensor networks[M]. Proc of the 1st ACM Conf on Embedded Networked Sensor Systems.2003.

引证文献4

二级引证文献6

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