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低功耗有损网络中节点缓存空间模型分析
引用本文:赵夙,乔甜甜,朱晓荣.低功耗有损网络中节点缓存空间模型分析[J].南京邮电大学学报(自然科学版),2014(1):82-87.
作者姓名:赵夙  乔甜甜  朱晓荣
作者单位:南京邮电大学通信与信息工程学院,江苏南京210003
基金项目:国家自然科学基金(61001078)和江苏省自然科学基金(BK2012831)资助项目
摘    要:为了节省无线传感器网络中节点的能量,节点在保证网络质量的前提下,应该能够在睡眠和唤醒两种状态间动态切换.文中为传感器节点建立了两种不同有限缓存空间的马尔可夫模型,通过分析这两种模型,可得到节点的丢包率,根据丢包率得出数据包的到达速率和服务速率以及节点状态切换对于缓存空间大小的影响,仿真结果证明,在缓存空间大小确定的情况下能适当地设定占空比,可以提高网络质量.

关 键 词:有限排队模型  无线传感器网络  丢包率  缓存管理

Analysis on Node Buffer Model in Constrained Low-Power and Lossy Network
ZHAO Su,QIAO Tian-tian,ZHU Xiao-rong.Analysis on Node Buffer Model in Constrained Low-Power and Lossy Network[J].Journal of Nanjing University of Posts and Telecommunications,2014(1):82-87.
Authors:ZHAO Su  QIAO Tian-tian  ZHU Xiao-rong
Institution:1.College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;)
Abstract:In order to save the battery capacity of sensor nodes in wireless sensor network,it is necessary for nodes to be able to switch between the states of sleep and active on the premise of meeting the requirements of network QoS.Two finite buffer Markov models are established for sensor nodes and model analysis is made to get the packet loss rate.Furthermore the packet arrival rate and service rate and the impact of node state switching on the size of buffer space are reached.Simulation results have shown that,for the case of fixed buffer size,network QoS can be improved by appropriate setting of the buffer duty cycle.
Keywords:finite queuing model  wireless sensor network  packet loss rate  buffer management
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