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三维水声传感器网络中数据流的突发检测算法
引用本文:徐明,刘广钟.三维水声传感器网络中数据流的突发检测算法[J].计算机应用,2012,32(12):3544-3547.
作者姓名:徐明  刘广钟
作者单位:1. 复旦大学 上海市智能信息处理重点实验室,上海 2004332. 上海海事大学 信息工程学院,上海 201306
基金项目:上海市科学技术委员会浦江人才计划项目(11PJ1404300);上海市教委科研创新重点项目(12ZZ151);上海市智能信息处理重点实验室开放课题(IIPL-2011-008);上海海事大学科研基金资助项目(20110049)
摘    要:针对三维水声传感器网络中数据流突发检测的多源性和异质性,对描述突发异常的特征和属性进行形式化定义和建模;然后,提出一种基于进化博弈论的突发检测算法,通过滑动窗口大小的优化选择与配置提高突发检测模型的处理速度与检测性能。仿真实验结果表明,基于进化博弈论的突发检测算法在数据分布、突发概率或者最大滑动窗口大小相同的情况下,处理时间少于传统的突发检测算法。

关 键 词:水声传感器网络    三维    进化博弈论    突发检测
收稿时间:2012-05-16
修稿时间:2012-06-26

Burst detection algorithm for data streams in three dimensional under water acoustic sensor networks
XU Ming,LIU Guang-zhong.Burst detection algorithm for data streams in three dimensional under water acoustic sensor networks[J].journal of Computer Applications,2012,32(12):3544-3547.
Authors:XU Ming  LIU Guang-zhong
Affiliation:1. College of Information Engineering, Shanghai Maritime University,Shanghai 201306, China2. Shanghai Key Laboratory of Intelligent Information Processing, Fudan University,Shanghai 200433, China
Abstract:Considering the multi-sourcing and heterogeneous data streams in three dimensional underwater acoustic sensor networks (3D UWASNs), this paper gives formalized definition and modeling for describing the characters and attributes of burst and presents an evolutionary game theory based burst detection algorithm for reducing processing time and improving detection performance through optimized choosing the size of slide window. We demonstrate through simulations that our burst detection algorithm consumes less processing time than traditional algorithms in the same condition of data distribution, burst probability or maximum slide window size.
Keywords:Underwater acoustic sensor networks                                                                                                                          three-dimensional                                                                                                                          evolutionary game theory                                                                                                                          burst detection
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