A Novel Traffic Prediction Method for Wireless Sensor Network

CHEN Ke; ZOU Quan; PENG Zhiping; KE Wende

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A Novel Traffic Prediction Method for Wireless Sensor Network

更新时间：2026-09-04

- A Novel Traffic Prediction Method for Wireless Sensor Network
- Vol. 30, Issue 10, Pages: 21-24(2013)
- 作者机构：
  
  1. 广东石油化工学院机构计算机与电子信息学院,广东,茂名,525000
  2. 厦门大学信息科学与技术学院,福建,厦门,361005
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2013
- 稿件说明：
移动端阅览
陈珂, 邹权, 彭志平, 柯文德. 一种新的无线传感器网络业务流预测方法[J]. 微电子学与计算机, 2013, 30(10): 21-24.

CHEN Ke, ZOU Quan, PENG Zhiping, et al. A Novel Traffic Prediction Method for Wireless Sensor Network[J]. 2013, 30(10): 21-24.
陈珂, 邹权, 彭志平, 柯文德. 一种新的无线传感器网络业务流预测方法[J]. 微电子学与计算机, 2013, 30(10): 21-24. DOI：

CHEN Ke, ZOU Quan, PENG Zhiping, et al. A Novel Traffic Prediction Method for Wireless Sensor Network[J]. 2013, 30(10): 21-24. DOI：

摘要

针对无线传感器网络容易受噪音干扰的问题

在以往的工作基础上提出了一种新的业务流预测算法CAWP (Cellular Annealing-based Wavelet Prediction)。该算法首先利用小波变换对业务流进行分解

并将其小波系数作为抗体群。同时

采用定义的元胞演化规则代替免疫克隆退火中的交叉和变异操作

以获得下一时刻最优的小波系数。最后

通过仿真实验对比分析了该算法与其他算法之间的性能状况

结果表明CAWP具有较好的适应性。

Abstract

In order to mitigate the interference problem by noise in wireless sensor network

a novel traffic prediction algorithm CAWP (Cellular Annealing-based Wavelet Prediction) is proposed. In this algorithm

traffic is decomposed by wavelet transform

which wavelet coefficients are seen as antibody group.Then

the crossover and mutation operation are replaced with cellular evolution rules

and the optimal wavelet transform in the next moment is got.Finally

a simulation was conducted to study the performance in those algorithms.The results show that CAWP has good suitability.

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