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| 分布式无线传感器网络故障检测算法综述 | |
| 引用本文： | 徐小龙,耿卫建,杨 庚,李玲娟,杨 震.分布式无线传感器网络故障检测算法综述[J].计算机应用研究,2012,29(12):4420-4425. |
| 作者姓名： | 徐小龙 耿卫建 杨 庚 李玲娟 杨 震 |
| 作者单位： | 1. 1. 南京邮电大学 计算机学院, 南京 210003; 2. 中国科学院软件研究所 信息安全国家重点实验室, 北京 100190 2. 南京邮电大学 计算机学院,南京,210003 3. 宽带无线通信与传感网技术教育部重点实验室,南京,210003 |
| 基金项目： | 国家“973”重点计划资助项目，国家自然科学基金资助项目，国家教育部高等学校博士学科点专项科研基金资助课题，中国博士后科学基金资助项目，江苏省博士后科研资助计划项目，江苏省自然科学基金资助项目，信息安全国家重点实验室开放课题 |
| 摘 要： | 阐述了传感器网络中节点发生故障的原因并建立了故障模型。将当前主要的分布式节点故障检测算法分成了基于多数投票策略、基于中值策略、基于决策扩散策略、基于加权和基于分簇的算法五大类,详细阐述了分布式无线传感器网络故障检测算法的原理和步骤,并指出了各个算法的优势与不足。最后,对各个算法的性能进行了分析与比较,讨论了算法存在的问题,并指出了进一步的研究方向。 |
| 关 键 词： | 分布式 无线传感器网络 故障检测 |
Survey of distributed fault detection algorithms for wireless sensor networks |
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| XU Xiao-long,GENG Wei-jian,YANG Geng,LI Ling-juan,YANG Zhen.Survey of distributed fault detection algorithms for wireless sensor networks[J].Application Research of Computers,2012,29(12):4420-4425. | |
| Authors: | XU Xiao-long GENG Wei-jian YANG Geng LI Ling-juan YANG Zhen |
| Affiliation: | 1. College of Computer, Nanjing University of Posts & Telecommunications, Nanjing 210003, China; 2. State Key Laboratory of Information Security, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; 3. Key Laboratory of Broadband Wireless Communication & Sensor Network Technology of Ministry of Education, Nanjing 210003, China |
| Abstract: | This paper introduced the reasons of WSN node faults, established the fault models and divided the existing popular distributed fault detection algorithms into five types:the majority voting based algorithm, the middle value based algorithm, the decision diffused based algorithm, the weight based algorithm and the cluster based algorithm. It described the basic principle and steps of the algorithms in detail and pointed out the advantages and disadvantages of each algorithm. In the end, it analyzed and compared the performance of each algorithm, discussed the existing algorithms' problems, and specified the further research direction. |
| Keywords: | distributed wireless sensor network fault detection |
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