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基于马尔可夫链的IEEE802.15.4网络防丢包信道访问机制研究
引用本文:程宏斌,乐德广,王晓喃,王海军,孙霞.基于马尔可夫链的IEEE802.15.4网络防丢包信道访问机制研究[J].计算机应用研究,2019,36(3).
作者姓名:程宏斌  乐德广  王晓喃  王海军  孙霞
作者单位:常熟理工学院计算机科学与工程学院,江苏常熟,215500;湖北第二师范学院计算机学院,武汉,430205
基金项目:江苏省产学研前瞻性联合研究项目(BY2016050-01);湖北省自然科学基金资助项目(2017CFC819);江苏省自然科学基金资助项目(BK20141230)
摘    要:为了降低802.15.4MAC层数据帧丢包率,在分析丢包率的原因基础上,提出了一种基于Markov链的信道竞争机制模型。通过对网络发送、退避和信道检测状态的稳态概率进行数学推导,研究了信道碰撞和数据帧的丢包率分析式;最后研究了参数数据包到达速率、节点数量、误码率、后退指数、后退等待次数对碰撞概率和丢包率的影响。实验结果表明,与节点无休眠态的802.15.4网络相比,节点丢包率平均降低了23.7%,模型较好地描述了提出的MAC层信道访问机制,合理的网络参数设置能够优化数据帧丢包率,研究结果对无线传感网的应用提供可靠传输优化参考。

关 键 词:IEEE  802.15.4媒体接入控制  马尔可夫链  碰撞概率  丢包率
收稿时间:2017/10/16 0:00:00
修稿时间:2019/1/27 0:00:00

Research on channel access mechanism of anti packet loss for 802.15.4 network based on Markov chain
CHENG Hong-bin,LE De-guang,WANG Xiao-nan,WANG Hai-jun and SUN Xia.Research on channel access mechanism of anti packet loss for 802.15.4 network based on Markov chain[J].Application Research of Computers,2019,36(3).
Authors:CHENG Hong-bin  LE De-guang  WANG Xiao-nan  WANG Hai-jun and SUN Xia
Affiliation:School of Computer Science and Engineering,Changshu Institute of Technology,,,,
Abstract:In order to reduce the packet lost rate in 802.15.4MAC layer, this paper raised a model of channel competition mechanism based on Markov chain by analyzing the reason of packet loss rate. Then, throught the mathematical derivations of the steady-state probability on the network transmission, backoff and the channel detection state based on the model of channel access, this paper?discussed the formulas of channel collision and the frame packet lost rate. Finally, this paper studied the impact of protocol parameters such as packet arrival rate, the number of nodes, bit error rate, backoff exponent, and number of backoffs on the collision probability and the packet lost rate. Experimental results show that, compared with 802.15.4 network without node sleep state, the packet lost rate was reduced by 23.7%. And the model describes the MAC layer channel access mechanism very well, and reasonable settings for parameters could optimize the frame packet lost rate. The research outcome could provide reference for the reliable transmission optimization in the practical application of wireless sensor network.
Keywords:802  15  4 MAC  Markov chain  collision probability  packet lost rate
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