Analysis and research of unslotted CSMA/CA for IEEE802.15.4

doi:10.3778/j.issn.1002-8331.2009.07.034

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (7): 108-110.DOI: 10.3778/j.issn.1002-8331.2009.07.034

• 网络、通信、安全 • Previous Articles Next Articles

Analysis and research of unslotted CSMA/CA for IEEE802.15.4

HUANG Ren,GAO Hui,REN Jun-hua

Department of Applied Computer Science and Technology，College of Computer Science，Chongqing University，Chongqing 400030，China

Received:2008-01-17 Revised:2008-03-31 Online:2009-03-01 Published:2009-03-01
Contact: HUANG Ren

非时隙CSMA/CA性能分析与研究

黄仁,郜辉,任军华

重庆大学计算机学院计算机系，重庆 400030

通讯作者: 黄仁

Abstract

Abstract: On the analysis of the unslotted CSMA/CA of WSN by IEEE802.15.4，this paper establishes a distributed Markov chain model，which is of one-step transition probabilities and suitable for most WSN application.Moreover，this paper puts forward the calculation formula under this model for two main net property indexes，packet delay，and number of backoff.Finally，the influence of three net parameters of CSMA/CA algorithm on system property is analyzed by emulation experiments.

Key words: unslotted CSMA/CA, WSN, Markov chain

摘要： 通过对基于IEEE802.15.4的无线传感网络的非时隙CSMA/CA的算法进行分析，建立了适合于大部分无线传感网络实际应用的具有单步转移概率分布的离散马尔可夫链模型。并给出了在该模型下数据包延时、退避次数两个主要的网络性能评价指标的计算公式。最后通过仿真实验分析了CSMA/CA 算法的三个网络参数对系统性能的影响。

关键词: 非时隙CSMA/CA, 无线传感网络, 马尔可夫链

HUANG Ren,GAO Hui,REN Jun-hua. Analysis and research of unslotted CSMA/CA for IEEE802.15.4[J]. Computer Engineering and Applications, 2009, 45(7): 108-110.

黄仁,郜辉,任军华. 非时隙CSMA/CA性能分析与研究[J]. 计算机工程与应用, 2009, 45(7): 108-110.

[1]	SHENG Jianhui, FAN Yinting, XIA Minjie. Physical Layer Security Performance Analysis for Wireless Sensor Network [J]. Computer Engineering and Applications, 2021, 57(8): 91-95.
[2]	CUI Caixia, BI Chaochao, FAN Qinqin. Self-Adaptive MODE Based on Hidden Markov Chain and Application [J]. Computer Engineering and Applications, 2021, 57(14): 83-94.
[3]	GONG Junhui, HU Xiaohui, DU Yongwen. Research on Selection of Optimal Defense Strategy Based on Evolutionary Game [J]. Computer Engineering and Applications, 2021, 57(13): 116-123.
[4]	WANG Haoyan, WANG Yumei. Research on Cognitive Wireless Networks with Two Kinds of Cognitive Users and Channel Aggregation [J]. Computer Engineering and Applications, 2020, 56(22): 100-108.
[5]	ZHENG Zupeng, WANG Zumin, PENG Yang, JI Changqing, QIN Jing. Survey of MAC Protocols for Energy Harvesting Sensor Networks [J]. Computer Engineering and Applications, 2020, 56(15): 24-29.
[6]	YANG Feiyue, TAO Yang. Node Anomaly Detection Algorithm Based on Spatial-Temporal Cooperation in WSNs [J]. Computer Engineering and Applications, 2019, 55(7): 127-131.
[7]	ZHAO Ying1, PAN Hua2, SUN Jinyan2, MO Qi3, DAI Fei4. Random Behavior Analysis Method of Collaborative Business Process [J]. Computer Engineering and Applications, 2019, 55(3): 245-251.
[8]	ZHANG Yuanyuan, WU Huafeng, XIAN Jiangfeng, MEI Xiaojun. Adaptive Clustering Algorithm in Ocean Wireless Sensor Network Under Double Constraints [J]. Computer Engineering and Applications, 2019, 55(19): 128-133.
[9]	YAN Zhi, ZHANG Peng, XIE Chuan. Research on Bayesian Network Structure Learning Algorithm Based on Jaya [J]. Computer Engineering and Applications, 2019, 55(19): 173-177.
[10]	ZHAN Jiacheng1, WANG Qiuhua2, OUYANG Xiaoqin1. Source-Location Privacy Protection Routing Protocol in Wireless Sensor Networks by Avoiding Attackers [J]. Computer Engineering and Applications, 2019, 55(12): 103-109.
[11]	LI Hong, ZHU Xuan, LIU Yunfei, LI Junhui. Improved TORA Protocol with Low Overhead and Load Balancing [J]. Computer Engineering and Applications, 2019, 55(11): 67-73.
[12]	DU Yongwen, WANG Zhangmin, HU Xiaohui, XU Ning. A Survey on Software-Defined Wireless Sensor Network [J]. Computer Engineering and Applications, 2019, 55(1): 1-8.
[13]	CHEN Yehai, ZHENG Rirong, XU Liang. Improved Localization Algorithm of Multiple Communication Radius DV-Hop Based on Evolutionary Algorithm [J]. Computer Engineering and Applications, 2019, 55(1): 89-95.
[14]	JING Tiancai, FANG Jinglong, WEI Dan. Research for Markov chain modeling based on UML [J]. Computer Engineering and Applications, 2018, 54(4): 60-65.
[15]	WEI Yu, SONG Tian. Lightweight and robust data reduction algorithms for Wireless Sensor Network [J]. Computer Engineering and Applications, 2018, 54(3): 100-108.

Analysis and research of unslotted CSMA/CA for IEEE802.15.4

非时隙CSMA/CA性能分析与研究

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics