自然科学版
陕西师范大学学报(自然科学版)
数学与计算机科学
融合流量预测和随机退避机制的ADC-SMAC协议设计
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侯梦婷, 赵作鹏*, 张娜娜, 高萌
(中国矿业大学 计算机科学与技术学院, 江苏 徐州 221116)
赵作鹏,男,副教授。E-mail:zzpeng@cumt.edu.cn
摘要:
为解决D-SMAC等协议对SMAC单一改进及算法存在缺陷的问题,提出融合流量预测和随机退避机制的ADC-SMAC协议。针对节点队列属性不能精确体现网络流量的问题,在流量预报模型的基础上根据时间序列预报算法预测节点未来工作周期的流量值,得到符合实际情况的初始占空比,并结合网络平均剩余能量因子动态改变占空比;针对单一改进问题,在占空比调整的基础上引入快速冲突解决算法并利用节点发送数据包的失败次数及网络的当前状态对该算法进行改进,动态调整竞争窗口的值。NS2仿真实验结果表明:在数据分组不同的发送间隔下,该融合协议的吞吐量相较于D-SMAC提高了约15%、传输时延相较于QDSMAC减少了约20%;在较小的数据分组发送间隔下,协议的能量消耗有较明显的优势;网络生命周期与AdcbTP算法相比,也有所延长。
关键词:
无线传感器网络; 流量预测; 能量因子; 网络生命周期; 退避机制; SMAC
收稿日期:
2015-11-19
中图分类号:
TP393.04
文献标识码:
A
文章编号:
1672-4291(2016)06-0019-07doi:10.15983/j.cnki.jsnu.2016.06.164
基金项目:
中央高校基本科研业务费专项资金(2014QNB25)
Doi:
The ADC-SMAC protocol design of fusing traffic forecasting and random backoff mechanism
HOU Mengting, ZHAO Zuopeng*, ZHANG Nana, GAO Meng
(College of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China)
Abstract:
In order to solve problems of protocols like D-SMAC making single improvement to SMAC and algorithms existing deficiencies, the ADC-SMAC protocol fusing traffic forecasting and backoff mechanism was proposed. Aiming at the problem of that it was not accurate to reflect the network traffic using attributes of node queue, on the basis of traffic forecasting model, the protocol forecast the future traffic value at work period of nodes according to the time series forecasting algorithm, then the initial duty cycle gotten from the forecasting and the network average residue energy factor were combined to change the duty cycle. Aiming at the problem of single improvement, on the basis of the adjusting of duty cycle, fast collision resolution algorithm was introduced, and improved utilizing the failing times of sending data packets and the current status of the network, adjusting the value of contention window dynamically.The simulation results of NS2 show that in the different transmission interval, throughput of this fusing protocol improves about 15% comparing with D-SMAC; transmission delay reduces about 20% comparing with QDSMAC. In the smaller transmission interval, energy consumption of the protocol have a obvious advantage.Life cycle is also extended comparing with the AdcbTP algorithm.
KeyWords:
wireless sensor network;traffic forecasting;energy factor; network life cycle;backoff mechanism;SMAC