基于概率传输的无线传感网数据汇聚方案  

Probabilistic transmitting-based data aggregation scheme for wireless sensor networks

作　　者：郭江鸿[1] 罗予东[1] 刘志宏[2] 

机构地区：[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

出　　处：《计算机应用》2013年第7期1798-1801,共4页journal of Computer Applications

基　　金：国家自然科学基金资助项目(61173135,41172028)

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。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.

关 键 词：传感器网络 数据汇聚 小样本 可容忍误差 粗差检测 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]