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基于IEEE 802.15.4 CSMA/CA机制的无线传感网络实时性能改进 被引量:3

Delay analysis for IEEE 802.15.4 scheme adopting a modified LIB model
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摘要 自从IEEE802.15.4标准发布以来,低功耗、低速率传输的无线传感器网络的应用几乎涉及到现实生活的方方面面,而对这个标准的CSMA/CA机制实时性分析大部分都是基于BEB退避机制的分析。针对非饱和的CSMA/CA机制,提出了1种改进实时性能的退避机制LIB,采用马尔可夫链详细分析节点的访问过程和信道状态,并且基于这个模型,分析了不饱和、无ACK的IEEE 802.15.4信标使能访问机制的数据包传送时间,得到描述实时性能表达参数,包括数据包到达率、节点数量等参数对系统实时性的影响,从而定量改进实时性。本文的特点是采用线性增长而不是指数增长的退避机制,从而大大提高了数据包访问信道的时间性能;不饱和性是取决于数据包达到率而不是事先预定的idle长度。我们得到的分析结果与我们采用NS-2工具仿真的结果十分吻合。 Since the successful release of the IEEE 802.15.4 standard,advances in low-power and low-cost sensor networks have led to solutions mature enough to use in a broad range of applications.For time-critical applications,we use a modified Carrier Sense Multiple Access with Collision Avoidance(CSMA/CA) mechanism called Linear Increase Backoff(LIB) to enhance the performance of packet delay.An accurate and comprehensive Markov model is used to analyze packet delay of our LIB scheme,predicting it of unsaturated,unacknowledged IEEE 802.15.4 networks in which unsaturated states are dependent on the traffic condition rather than the depiction by a predetermined length.Simulation results are consistent with the predictions of this model.We also compare the performance of LIB with that of several mechanisms according to the optimal parameters selected from operating point,and find that packet delay is obviously superior to that of other schemes.
出处 《电子测量技术》 2011年第3期90-94,共5页 Electronic Measurement Technology
关键词 无线传感器网络 实时性分析 马尔可夫链 CSMA/CA机制 LIB机制 NS-2 wireless sensor networks(WSN) delay analysis markov chain CSMA/CA scheme LIB scheme NS-2
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参考文献12

  • 1IEEE Std. 802.15.4-2006 Part 15.4: Wireless medium access control (MAC) and physical layer (PHY) specifications for low-rate wireless personal area networks(WPANs) I-S]. IEEE, 2006.
  • 2MISIC J,SHAFI S,MISIC V B. Access delay for nodes with finite buffers in ieee 802. 15. 4 beacon enabled pan with uplink transmission[-J]. Computer Communications, 2005,28 (10) : 1152-1166.
  • 3RAMACHANDRAN I,DAS K A, ROY S. Analysis of the contention access period of IEEE 802.15.4 MAC [J]. ACM Transaction on Sensor Networks, 2007,3 (1) :1-29.
  • 4MALONE D,DUFFY K,LEITH D J. Modeling the 802. 11 distributed coordination function in non- saturated heterogeneous conditions I-J~. IEEE/ACM Transaction Network, 2007,15 (1) : 159-172.
  • 5ZHENG J,LEE J M. A comprehensive performance study of IEEE 802. 15. 4 [J]. Sensor Network Operations, 2006 : 218-237.
  • 6PARK P,DI MARCO P,FISCHIONE C,et al. Delay analysis of slotted IEEE 802.15.4 with a finite retrylimit and unsaturated traffic [J3. IEEE Global Communications Conference, 2009 : 1-8.
  • 7SAHOO P K,SHEU J P. Modeling IEEE 802. 15. 4 based wireless sensor network with packet retry limitsl-C]. Canada: Proceedings of the 5th ACM symposium on Performance evaluation of wireless ad hoe, sensor, and ubiquitous networks, 2008 : 63-70.
  • 8POLLIN S, ERGEN M, ERGEN S C, et al. Performance analysis of slotted carrier sense IEEE 802. 15. 4 medium access layer [-J ]. IEEE Transactions on Wireless Communications, 2008,9 (7) : 3359-3371.
  • 9李战明,李泉,殷培峰.基于ZigBee的环境监测无线传感器网络节点设计[J].电子测量技术,2010,33(6):118-122. 被引量:34
  • 10文凡,李思敏,唐志灵.无线传感器网络路由协议的形式化方法研究[J].国外电子测量技术,2009,28(4):20-23. 被引量:8

二级参考文献46

  • 1段战胜,韩崇昭,陶唐飞.基于最近统计距离的多传感器一致性数据融合[J].仪器仪表学报,2005,26(5):478-481. 被引量:17
  • 2洪龙,肖奚安,朱梧槚.中介真值程度的度量及其应用(I)[J].计算机学报,2006,29(12):2186-2193. 被引量:78
  • 3胡静.基于OPNET的无线传感器网络仿真[J].电气电子教学学报,2006,28(6):46-49. 被引量:7
  • 4Z. 100 CCITT Specification and description language (SDL) [S]. ITU, 1999.
  • 5ZHU P Y, XU B L, XU B G. Research on multisensor state fusion estimation based on weighted least squares[C]. Shanghai: Second International Symposium on Intelligent Information Technology Application, 2008 746-750.
  • 6ZHANG LY, LI D, ZHANG L, et al. A weighted fusion algorithm of multi-sensor based on optimized grouping[C]. Dalian: The Sixth World Congress on Intelligent Control and Automation, 2006, 2: 5350-5353.
  • 7KHALEGHI B, RAZAVI S N, KHAMIS A, et al. Multisensor data fusion: Antecedents and directions[C]. Meden: The third International Conference on Signals, Circuits and Systems(SCS), 2009: 1-6.
  • 8FANG J, LI H. Power constrained distributed estimation with correlated sensor data[J]. IEEE Transactions on Signal Processing, 2009, 57(8): 3292-3297.
  • 9ZHU W J, XIAO X A. A system of medium axiomatic set theory[J]. Science in China (A), 1988, 11(2): 1320-1335.
  • 10LIAO P K, CHANG M K, JAY C C. A Statistical approach to contour line estimation in wireless sensor networks[J]. IEEE Transactions on Vehicular Technology, 2009, 58(7): 3579-3595.

共引文献66

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  • 1AKYILDIZ I F, KASIMOGLU I H. Wireless sensor and actor network: research challenges [ J ]. Ad Hoc Net- works Journal, 2004, 2(4) : 351-367.
  • 2REINISCH C, KASTNER W, NEUGSCHWANDTNER G, et al. Wireless technologies in home and building automation [ C ]. IEEE Proceedings of the IEEE Interna- tional Conference on Industrial Informatics, Piscataway, NJ, USA, 2007: 93-98.
  • 3XIA F, TIAN Y C, LI Y, et al. Wireless sensor/actua- tor network design for mobile control applications [ J ]. Sensors, 2007, (7):2157-2173.
  • 4SHNAYDER V, HEMPSTEAD M, CHEN B, et al. Simulating the power consumption of large--scale sen- sor network applications [ C ]. Proceedings of the 2nd International Conference on Embedded Networked Sen- sor Systems, Baltimore MD, USA, 2004: 188-200.
  • 5OZAKI K, WATANABE K, ENOKIDO T. A fault-tol- erant model of wireless sensor-actuator network [ J ]. In- ternational Journal of Distributed Sensor Networks, 2008, 4(2) : 39-45.
  • 6SUN Y J, SUN Y G, FANG ZH H. Connectivity and coverage of wireless sensor network [ J ]. Journal of Tianjin University, 2005, 38(1 ) : 14-17.
  • 7ZHOU Z D, XU W J, LI F M, et al, Directed diffusion based on link-stabilizing clustering for wireless sensor networks[ C]. The International Conference on Ubiqui- tous Intelligence and Computing, Hong Kong, 2007.
  • 8STOJMENOVIC I, LIN X. Power-aware localized rou- ting in wireless networks [ J ]. IEEE Transactions on Parallel and Distributed Systems, 2001, 12 ( 11 ) :1122-1133.
  • 9KYUNGHWI K, WONJUN L. MBAL: a mobile beacon assisted localization scheme for wireless sensor networks [C ]. Proceedings of 16th International Conference, 2007 : 57-62.
  • 10HEINZELMAN W, CHANDRAKASAN A, BAL- AKRISHNAN H. Energy-efficient communication proto- col for wireless micro sensor Network [ C ]. Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, Hawaii, USA, 2000: 4-7.

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