基于α-稳定分布和小波变换的实际流量预测算法
为了有效提高无线传感器网络流量预测精度,结合α-稳定分布和小波变换,提出了一种新的预测算法（state prediction algorithm based onα-stable distribution,SP-α）。该算法定义了α-稳定分布特征,并给出服从该分布的判断依据。同时,通过融合α-稳定分布和小波变换的预测结果,减少实际流量的预测误差。以OPNET和MATLAB进行联合仿真,深入研究了影响该算法的关键因素,并对比FARIMA模型性能,结果发现SP-α算法具有较好的适应性。...
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| Published in | 计算机应用研究 Vol. 31; no. 8; pp. 2457 - 2460 |
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| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
中国科学院计算机科学国家重点实验室,北京100080
2014
重庆工商大学融智学院,重庆,400033%苏州大学计算机科学与技术学院,江苏苏州215006 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1001-3695 |
| DOI | 10.3969/j.issn.1001-3695.2014.08.053 |
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| Summary: | 为了有效提高无线传感器网络流量预测精度,结合α-稳定分布和小波变换,提出了一种新的预测算法（state prediction algorithm based onα-stable distribution,SP-α）。该算法定义了α-稳定分布特征,并给出服从该分布的判断依据。同时,通过融合α-稳定分布和小波变换的预测结果,减少实际流量的预测误差。以OPNET和MATLAB进行联合仿真,深入研究了影响该算法的关键因素,并对比FARIMA模型性能,结果发现SP-α算法具有较好的适应性。 |
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| Bibliography: | 51-1196/TP CHEN Guo-bin, ZHANG Guang-quan （ 1. Rongzhi College, Chongqing Technology ＆ Business University, Chongqing 400033, China; 2. School of Computer Science ＆ Technology, Soochow University, Suzhou Jiangsu 215006, China; 3. State Key Laboratory of Computer Science, Chinese Academy of Sciences, Beijing 100080, China） wireless sensor network;prediction;α-stable distribution;wavelet;error In order to improve the prediction accuracy of wireless sensor network,this paper proposed a novel prediction algorithm（ state prediction algorithm based on α-stable distribution,SP-α） by α-stable distribution and wavelet transform. This algorithm defined the characteristic of α-stable distribution,and gave the judgment of obeying distribution. Then,it decreased the prediction error of actual traffic by fusion the results of α-stable distribution and wavelet transform. Finally it conducted a simulation to study the key influence factor of algorithm with OPNET and MATLAB. The results show that,compared to FARIMA model,SP-α ha |
| ISSN: | 1001-3695 |
| DOI: | 10.3969/j.issn.1001-3695.2014.08.053 |