.png){kind=icon}
返回
Probabilistic fault detector for Wireless Sensor Network
.png){kind=icon}
PRE
AI
DOI：10.1016/j.eswa.2013.11.034.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper proposed a novel centralized hardware fault detection approach for a structured Wireless Sensor Network (WSN) based on Naive Bayes framework. For most WSNs, power supply is the main constraint of the network because most applications are in severe situation and the sensors are equipped with battery only. In other words, the battery's life is the network's life. To maximize the network's life, the proposed method, Centralized Naive Bayes Detector (CNBD) analyzes the end-to-end transmission time collected at the sink. Thus all the computation will not be performed in individual sensor node that poses no additional power burden to the battery of each sensor node. We have conducted thorough performance evaluation. The obtained results showed better performance can be obtained under a network size of 100-node WSN simulations at various network traffic conditions and different number of faulty nodes. (C) 2013 Elsevier Ltd. All rights reserved.
Keyword:
Fault detection
Wireless Sensor Network
Naive Bayes
Maximum Likelihood Estimation
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.5
论文数:
3.0W
被引数:
10.2W
机构
引用论文
Application of fuzzy inference systems to detection of faults in wireless sensor networks.png)
NEUROCOMPUTING
NEUROCOMPUTINGIF6.5
PREAI
分享收藏
查看更多内容