期刊文献+

退避算法多负载状况下的退避窗口最优设定 被引量:1

Optimal setting of collision window in back-off algorithm in WSN
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摘要 为了实现无线传感器网络节点在不同忙碌状态(忙碌状态:节点一段时间内的忙碌状态时间与对应时间段的比值)的区域中均达到网络吞吐量的最优,对退避算法中退避窗口大小取值做了一定工作。基于节点忙碌状态的讨论,依据节点的吞吐量模型,通过分析不同网络负载区域影响节点吞吐量的因素,为使网络中节点的吞吐量更接近理论最大值,给出了基于不同忙碌状态的退避窗口设定算法MNLBA(multi—node—loadingback—off algorithm,多节点负载条件下退避机制)。在最后的仿真结果中可以看出,与不考虑区域网络负载不同的SBA协议相比,MNLBA算法针对不同的区域状态设定退避窗口值,约能提升网络吞吐量5%-10%,起到了均衡负载、提升网络性能的作用。 To achieve the goal of the optimal throughout in different loading region which meant the ratio of busy time, the au- thors worked on the setting of collision window in back-off algorithm. Based on the discussion of busy condition and throughout model of node, this paper provided the MNLBA ( multi-node-loading back-off algorithm ) , which used the optimization algo- rithm to control the optimal length of the collision window to try to reach the maximum throughput value. The simulation provi- ded the compare performance result with SBA algorithm on the throughput and the delay in wireless sensor network. The simu- lation result shows that the MNLBA can achieve more throughout about 5% ~ 10% than SBA and have an good effect to balance load and improve network performance.
出处 《计算机应用研究》 CSCD 北大核心 2015年第1期175-178,共4页 Application Research of Computers
基金 国家科技支撑计划资助项目(2013BAK01B02) 国家自然科学基金资助项目(61070176 61170218 61202393) 国家教育部科学技术研究重点项目(211181) 高等学校博士学科点专项科研基金资助项目(20106101110018) 中国博士后基金资助项目(2012M521797) 陕西省教育厅自然科学专项基金资助项目(12JK0936) 陕西省科技攻关计划项目(2012K06-17 2011K06-07 2011K06-09) 陕西省科技厅国际合作项目(2013KW01-02) 陕西省教育厅产业化项目(2011JG06) 陕西省自然科学基础研究计划资助项目(2012JQ8049)
关键词 无线传感网 退避算法 退避窗口 吞吐量 wireless sensor network back-off algorithm collision window throughput
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参考文献10

  • 1SILVA D A, CARVAEHO M. Reversing the IEEE 802.11 backoff al- gorithm for receiver-initiated MAC protocols [ C ]//Proc of the 8th In- ternational Conference on Wireless Communications and Mobile Com- puting.[S. 1. ] :IEEE Press, 2012.
  • 2TAKAHASHI K, TSUBOI T. A backoff algorithm for improving satu-ration throughput in IEEE 802. 11 DCF[ C]//Proc of the 14th IST Mobile & Wireless Communications Summit. 2005.
  • 3SUN Y, YANG D, TIAN W, et al. Optimized backoff algorithm of IEEE 802.11 DCF for collision resolution [ C ]//Proc of International Conference on Wireless Communications & Signal Processing. 2013.
  • 4ALASMARY W, ZHUANG W. Mobility impact in IEEE 802.11 p in- frastrnctureless vehicular networks [ J]. Ad hoc Networks, 2012, 10(2) : 222-230.
  • 5SINGH D, PANDEY B, TOMAR G S, et al. Perfbrnlance evaluation of backoff method:effect of backoff factor on exponential backoff algo- rithm [ C ]//Proc of the 5th International Conference on Computational Intelligence and Communication Networks. 2013:82-86.
  • 6XU Y, HUANG M, L1N M, et al. A self-adaptive minimum conten- tion window adjusting hackoff algorithm in 1EEE 802. 11 DCF[ C ]// Proc of the 2nd International Conference on Consumer Electronics, Communications and Networks. 2012.
  • 7KANG S W, CHA J R, KIM J H. A novel estimation-based backoff algorithm in the IEEE 802. 11 based wireless network[ C]//Proc of the 7th Consumer Communications and Networking Conference. 2010.
  • 8XU S, SAADAWI T. Does the IEEE 802.11 MAC protocol work well in multi-hop wireless Ad hoc networks [ J ]. IEEE Communications Magazine, 2001, 39(6): 130-137.
  • 9BIANCHI G. Performance analysis of the IEEE 802. 11 distributed coordination function [ J ]. IEEE Journal on Selected Areas in Communications, 2000, 18(3): 535-547.
  • 10柯熙政,何华,陈祥.一种新的紫外光自组织通信网络MAC层避退算法[J].光电子.激光,2010,21(7):1002-1006. 被引量:8

二级参考文献8

  • 1YU Hong-yi. Wireless mobile self-organised network[M]. Beijing : People' Post and Telecom Press, 2005 : 3-15. ( in chinese).
  • 2IEEE Std 802.11. Wireless LAN medium access control (MAC) and physical layer (PHY) specifications[S].1999.
  • 3Foster I, Kesselman C,Tuecke S. The anatomy of the grid: enabling scalable virtual organizations[J]. International Journal of Supercomputer Applications, 2001,15 (3) : 1-10.
  • 4QIAO Da-ji, SHIN K G. Achieving efficient channel utilization and weighted fairness for data communications in IEEE 802.11 WLAN under the DCF[A]. 16^th International Workshop, Quality of Service[C]. USA, IWQoS 2008,2002,227-236.
  • 5XU Zheng-yuan, DING Hai-peng, CHEN Gang, et al. Analytical performance study of solar blind non-line-of-sight ultraviolet short-range communication links[J]. Optics Letters, 2008,33 (16) : 1860-1862.
  • 6Jain R, Chiu D, Hawe W. A quantitative measure of fairness and discrimination for resource allocation in shared computer systems[R]. DEC Research Report, TR-301. Hudson, USA: Digital Equipment Corporation, 1984.
  • 7杨华军,胡渝,谢康.光通信中高精度激光束准直系统优化设计[J].光电子.激光,2008,19(6):724-727. 被引量:5
  • 8孙烨辉,江立新,许长喜,秦世才,耿新华.现代光通信中的CMOS时钟数据恢复[J].光电子.激光,2008,19(6):856-859. 被引量:3

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