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基于流量的自适应退避算法
引用本文:褚好迎,苏胜君,孙亚容.基于流量的自适应退避算法[J].电子测量技术,2016,39(10):188-191.
作者姓名:褚好迎  苏胜君  孙亚容
作者单位:上海理工大学光电信息与计算机工程学院上海200093,上海理工大学光电信息与计算机工程学院上海200093,上海理工大学光电信息与计算机工程学院上海200093
摘    要:通过对SMAC协议仿真分析,得到节点队列长度与网络流量以及占空比[3]之间的关系,并对此关系进行理论分析,在理论验证的基础上,针对SMAC协议固定竞争窗口的缺陷提出了一种基于流量的自适应退避算法,根据流量变化改变竞争窗口的大小,从而缓解网络流量高时激烈的信道竞争,减小网络流量低时空闲侦听时间,信道利用率显著提高。并通过NS2.35[10]仿真平台进行验证分析,结果表明在网络延迟、能耗和吞吐量等方面优于采用随机退避机制的SMAC协议[5]。

关 键 词:无线传感器网络  自适应  退避机制

Adaptive backoff algorithm based on traffic
Chu Haoying,Su Shengjun and Sun Yarong.Adaptive backoff algorithm based on traffic[J].Electronic Measurement Technology,2016,39(10):188-191.
Authors:Chu Haoying  Su Shengjun and Sun Yarong
Abstract:This paper presents the design, analysis and performance evaluation of a algorithm, called Adaptive backoff mechanism. This algorithm is based on the relationship of length of queue and network traffic and the duty cycle. The basic idea of this algorithm is changing the size of the contention window according to the flow, thus relieving network traffic in high contention level and reducing the time of overhead in low contention level. Finally, analyzed through the NS2.35. The results showed that it is better than using a random backoff mechanism of SMAC protocol in the network delay, energy consumption and throughput.
Keywords:wireless sensor network  adaptation  duty cycle  backoffmechanism
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