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IJSTR >> Volume 7 - Issue 3, March 2018 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Fault Detection Mechanisms In Wireless Sensor Networks-A Review

[Full Text]

 

AUTHOR(S)

Harshitha, Dr. K N Shreenath

 

KEYWORDS

Wireless Sensor Networks, Fault Detection, Fault tolerance.

 

ABSTRACT

Wireless Sensor Networks (WSNs) are vital apparatus for checking the discrete remote situations. As one of the key innovations engaged with WSNs, fault recognition is a basic in most WSN applications. Wireless sensor networks are self-organized networks that regularly comprise of an expansive number of sensing devices with severely restricted processing, storage and communication capabilities and limited energy supply. Wireless Sensor Networks are normally fault- prone and the reliability of WSN is influenced by faults that may occur, because of different reasons such as malfunctioning hardware and software glitches, separation or natural reasons. The primary point of this paper is to consider a variety of approaches of fault detection techniques in WSNs and its impending predictions. To accomplish this point, we reviewed many existing approaches and providing a broad outline of fault detection and fault tolerance in WSNs. At last, in this paper, the summary of existing fault detection techniques is given and furthermore examination is made to help sensor applications.

 

REFERENCES

[1] Haibin Zhang, Jiajia Liu, Nei Kato, “Threshold Tuning- Based Wearable Sensor Fault Detection for Reliable Medical Monitoring Using Bayesian Network Model”, member IEEE, 2016.

[2] Sandeep Saurav Singh, Y.Bevish Jinila, “Sensor Node Failure Detection using Check-Point Recovery Algorithm”, Department of IT, Sathyabama University, Chennai, India, 2016.

[3] Hao Yuan, Xiaoxio Zhao, Liyang Yu, “A Distributed Bayesian Algorithm for data fault Detection in Wireless Sensor Networks”, Department of Computer Science and Technology, East China Normal University, Shanghai, China, 2015.

[4] Hsung-Pin Chang, Tsung-Yu Yeh, “A Software-Based Fault Detection Scheme for Wireless Sensor Networks”, Department of Computer Science and Engineering, National Chang Hsing University, Taichung, Taiwan, 2016.

[5] Xie Yingxin, Chen Xiangguang, Zhao Jun, “Adaptive and Online Fault Detection using RPCA Algorithm in wireless Sensor Network Nodes”, School of Chemical Engineering and Environment, Beijing Institute of Technology, Beijing, China, 2012.

[6] Amna Zafar, Bilal Wajd, Beenish Ayesha Akram, “A Hybrid Fault Diagnosis Architecture for Wireless Sensor Networks”, Dept. of Computer Science and Engineering, UET, Lahore, 2015.

[7] Rakesh Ranjan Swain, Pabitra Mohan Khilar, “A Fuzzy MLP Approach for fault Diagnosis in Wireless Sensor Networks", Department of Computer Science and Engineering, National Institute of technology, Hamirpur, India, 2015.

[8] Yingya Zhou, Moncef Chioua, Weidon Ni, “Data Driven Multi-unit Monitoring Scheme with hierarchical Fault Detection and Diagnosis”, 2016.

[9] Meenakshi Panda, PM Khilar, “Distributed Fault Detection Technique in WSNs based on Hypothesis Testing”, Computer and Electrical Engineering, 2015.

[10] M. Panda, PM Khilar, “Distributed Self Fault Diagnosis for WSNs Using Modified Three Sigma Edit Test”, Parallel Distributed and Grid Computing (PDGC), 2015.

[11] Marwa SAIHI, Boussaid BOUMEDYEN, Ahmed ZOUINKHI, Mohamed, Naceur ABDLKRIM, “A Real Time Centralized Fault Detection Application in Wireless Sensor Networks”, MACS, National School of Engineers of Gabes, Gabes, Tunisia, 2014.

[12] Arunanshu Mahapatros, Pabitra Mohan Khilar, “Online Fault Diagnosis of Wireless Sensor Networks”, Central European Journal of Computer Science, 2014.

[13] Quran Liu, Yang Yang, Qin Xue-Song, “A Metric- Correlation-Based Fault Detection Approach Using Clustering Analysis in Wireless Sensor Networks”, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China, 2015.

[14] Peng Tang, Tommy W.S. Chow, “Wireless Sensor Networks Conditions Monitoring and fault Diagnosis using Neighborhood Hidden Conditional Random Field”, Senior Member, IEEE, 2015.

[15] Yang Yang, Zhipeng Gao, Hang Zhou, and Xuesong Qiu, “An Uncertainity based Distributed Fault detection mechanism for Wireless Sensor Networks”, 2014.

[16] Krishna P.Sharma, T.P. Sharma, “A Throughput Descent and Energy Efficient Mechanism for Fault Detection in WSNs”, Department of Computer Science and Engineering, National Institute of Technology, Hamirpur, India, 2015.

[17] Mingbo Zhao, Tommy W.S.Chow, “Wireless Sensor Network Fault Detection Via Semi-Supervised Local Kernel Density estimation”, IEEE Member, City University of Hong Kong, 2015.

[18] Mohsen Mosallaei, Karim Salahshoor, Mohammadreza Bayat “Centralized and decentralized process and sensor fault monitoring using data fusion based on adaptive extended Kalman filter algorithm”, Department of Automation and Instrumentation, Petroleum University of Technology, Tehran, Iran Institute for Systems and Robotics (ISR), Instituto Superior Tecnico (IST), Universidade Tecnica de Lisboa (UTL), Lisbon, Portugal, 2012.