电子学报Issue(4)：679-684,6.DOI:10.3969/j.issn.0372-2112.2014.04.009
传感器网络拥塞避免与控制的模糊 AQM 算法
Fuzzy AQM for Congestion Avoidance and Control in Sensor Networks
摘要
Abstract
There is limited communication ability in sensor networks .When the data arrival rate is persistently beyond its transmission ability ,the network congestion occurs .Sensor networks are task-based ,where data packets with different prior privileges require different Quality of Service (QoS) .To address this challenge ,an algorithm for congestion avoidance and control in sensor networks ,called fuzzy active queue management(FAQM) ,is proposed .In the algorithm ,the random exponential marking probability of a packet along with its priority weight is considered to establish a fuzzy logic inference system ,and the intelligent regulation of the data stream is realized by taking the packet dropping factor as the parameter .The experimental results in network simulator ver-sion 2 show that FAQM can reduce high priority packets’ dropping rate and link delay and stabilize the queue length of the node , therefore it can avoid and control the network congestion and improve the network QoS performance at the same time .关键词
主动队列管理/指数标记/模糊逻辑推理/拥塞避免与控制Key words
active queue management/random exponential marking/fuzzy logic inference/congestion avoidance and control分类
信息技术与安全科学引用本文复制引用
罗成,谢维信..传感器网络拥塞避免与控制的模糊 AQM 算法[J].电子学报,2014,(4):679-684,6.基金项目
国家自然科学基金（No ．61271107）；国家科技支撑计划重大项目 （）
