计算机应用 ›› 2013, Vol. 33 ›› Issue (07): 1798-1801.DOI: 10.11772/j.issn.1001-9081.2013.07.1798

• 网络与通信 • 上一篇    下一篇

基于概率传输的无线传感网数据汇聚方案

郭江鸿1,罗予东1,刘志宏2   

  1. 1. 嘉应学院 计算机学院,广东 梅州514015
    2. 西安电子科技大学 计算机学院,西安 710071
  • 收稿日期:2013-01-05 修回日期:2013-02-14 出版日期:2013-07-01 发布日期:2013-07-06
  • 通讯作者: 郭江鸿
  • 作者简介:郭江鸿 (1975-),男,山西长治人,讲师,博士,主要研究方向:无线移动安全、网络与信息安全、无线传感器网络;罗予东(1967-),男,广东兴宁人,高级实验师,硕士,主要研究方向:网络与信息安全;刘志宏(1967-),男,湖南长沙人,副教授,博士,主要研究方向:网络与信息安全、无线传感器网络。
  • 基金资助:

    国家自然科学基金资助项目(61100041);国家自然科学基金资助项目(61100041)

Probabilistic transmittingbased data aggregation scheme for wireless sensor networks

GUO Jianghong1,LUO Yudong1,LIU Zhihong2   

  1. 1. School of Computer Science, Jiaying University, Meizhou Guangdong 514015, China
    2. School of Computer Science and Technology, Xidian University, Xian Shaanxi 710071, China
  • Received:2013-01-05 Revised:2013-02-14 Online:2013-07-06 Published:2013-07-01
  • Contact: GUO Jianghong

摘要: 针对传统无线传感网数据汇聚中通信开销较大的问题,提出了基于概率传输的无线传感网数据汇聚方案。由于簇内节点有限,汇聚误差难以避免,在可容忍汇聚误差下,簇内节点按概率进行数据发送,可有效减少簇内消息传输量,降低通信开销。同时,采取狄克逊准则对小样本中的粗大误差进行剔除提供高的簇内汇聚可靠性。实验结果表明,在可容忍误差下进行概率发送可有效降低簇内消息传输量,所提方案的簇内数据汇聚通信开销约为传统方案的27.5%;概率发送的汇聚误差与所有节点进行数据发送的汇聚误差基本在同一水平,都是传感器网络可接受的。

关键词: 传感器网络, 数据汇聚, 小样本, 可容忍误差, 粗差检测

Abstract: For reducing the communication overhead of traditional data aggregation method in wireless sensor networks, the authors proposed a probabilistic transmissionbased data aggregation scheme for Wireless Sensor Network (WSN). Due to limited number of nodes in the cluster and the fact that aggregation error is unavoidable, probabilistic transmission was adopted to reduce the number of innercluster transmissions and lower the communication overhead with tolerable error. Besides, Dixon criterion was adopted to eliminate the gross error in the small sample to provide high reliability of innercluster aggregation. The experimental results show that the probabilistic transmission can lower the innercluster transmissions effectively with tolerable error, the communication overhead of proposed scheme is about 27.5% that of traditional data aggregation schemes. The aggregation error of probabilistic transmission and all nodes transmission are at the same level and both are acceptable for wireless sensor networks.

Key words: sensor network, data aggregation, small sample, tolerable error, gross error detection

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