A survey on fault detection, diagnosis and recovery in wireless mesh networks

机译：无线网状网络中的故障检测，诊断和恢复研究

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摘要

Nowadays wireless technology is playing vital role in the communication system. Wireless Mesh Network (WMN) gives a less expensive alternative to backhauls that can be utilized to give minimal effort get to administrations. Contrasted with regular remote LANs, the advantages of a WMN incorporate more prominent range in light of bundle transferring and higher throughput as a result of shorter bounces. A WMN, be that as it may, might be liable to an assortment of shortcomings that are difficult to analyze physically. This paper presents a survey of the various algorithms used for fault detection, fault diagnosis and fault management in WMNs.

机译：如今，无线技术在通信系统中起着至关重要的作用。无线网状网络（WMN）为回程提供了一种较便宜的替代方法，该方法可用于使管理人员花费最少的精力。与常规的远程LAN相比，WMN的优点包括更广泛的范围（鉴于捆包传输）和较短的跳动，从而提高了吞吐量。 WMN可能会导致各种缺点，这些缺点很难通过物理方式进行分析。本文概述了WMN中用于故障检测，故障诊断和故障管理的各种算法。

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来源
《2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques》|2017年|7-12|共6页
会议地点 Mysuru(IN)
作者
Sunilkumar Manvi; Nirmalkumar Benni;
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作者单位

School of Computing and Information Technology, REVA University, Bengaluru-560064, India;

Department of Electronics and Communication Engineering, REVA Institute of Technology and Management, Bengaluru-560064, India;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Throughput; Routing; Fault detection; Wireless mesh networks; Circuit faults; Base stations; Fault diagnosis;

机译：吞吐量;路由;故障检测;无线网状网络;电路故障;基站;故障诊断;;

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机译：集群无线传感器网络中分布式故障检测方法及故障类型诊断
2. Fault Diagnosis in Wireless Sensor Networks: A Survey [J] . Mahapatro Arunanshu, Khilar Pabitra Mohan Communications Surveys & Tutorials, IEEE . 2013,第4期

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3. Certain Investigations on Energy-Efficient Fault Detection and Recovery Management in Underwater Wireless Sensor Networks [J] . Prasanth A. Journal of circuits, systems and computers . 2021,第8期

机译：水下无线传感器网络中节能故障检测和恢复管理的一定调查
4. A survey on fault detection, diagnosis and recovery in wireless mesh networks [C] . Sunilkumar Manvi, Nirmalkumar Benni International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques . 2017

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5. Improving data recovery from embedded networked sensing systems with fault detection and diagnosis. [D] . Ramanathan, Nithya Athreya. 2008

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6. Hybrid Continuous Density Hmm-Based Ensemble Neural Networks for Sensor Fault Detection and Classification in Wireless Sensor Network [O] . Malathy Emperuman, Srimathi Chandrasekaran 2020

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A survey on fault detection, diagnosis and recovery in wireless mesh networks

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