CRSN中基于随机网络演算的拥塞控制协议QoS边界分析

doi:10.11959/j.issn.1000-0801.2016130

Abstract

Abstract:

In order to guarantee the quality of service（QoS）of the cognitive radio sensor network（CRSN），the performance boundary of protocol used in CRSN is required to be accurately calculated. Therefore，a new QoS performance boundary analysis method based on stochastic network calculus （SNC）was proposed. The additive increase and multiplicative decrease（AIMD）congestion control mechanism in CRSN was used as evaluation object，and the communication delay and data backlog were used as QoS performance index. According to the sending rate distribution of the CR source sensor，the delay and backlog boundary were modeled based on stochastic network calculus with moment generating function. The experimental results show that calculated values of the model in different CRSN scenarios are within the theoretical bounds，which proves that the model has good performance.

Key words: cognitive radio sensor network, quality of service, stochastic network calculus, delay and backlog boundary

Zhengjiang SONG,Xiaochen LI,Jiang CHEN. QoS boundary analysis of congestion control protocol based on stochastic network calculus in CRSN[J]. Telecommunications Science, 2016, 32(4): 44-51.

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References 15

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参数	值/类型
网络区域	500 m×500 m
节点空间分布	H=4，N_O=6，N₁=N₂=N₃=N₄=3
无线信道数量/个	6
无线信道宽带/（Mbit·s^-1）	1
主用户的活动参数（α，β）	不同实验中不同
CR节点的传感时间（t_s）	不同实验中不同
CR节点的操作时间（t_o）/s	1
速率调整因子（INC，DEC）	不同实验中不同
AIMD机制的时间单位/s	1
积压和时延违反预期范围的允许概率（∈）	0.01
数据分组大小/bit	120
最大允许发送速率（R）	200数据分组/s
节点的队列长度	100个数据分组
拥塞检测的队列长度阈值	90个数据分组
应用层的通信速率R_a	40个数据分组/s

场景	t_s/s	（α，β）	（INC，DEC）
1	｛0.02，0.1，0.2，0.3，0.4，0.5｝	（3，1）	（1，3）
2	0.1	｛（5，1），（3，1），（1，1），（1，3），（1，5）｝	（1，3）
3	0.1	（3，1）	｛（1，4），（1，3），（1，2），（2，2），（3，2），（4，2）｝

QoS boundary analysis of congestion control protocol based on stochastic network calculus in CRSN

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