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Fuzzy Logic Based Fault Detection in Distributed Sensor Networks
L. B. Bhajantri1
- Department of Information Science and Engineering, Basaveshwar Engineering College, Bagalkot, Karnataka, India.
Section:Research Paper, Product Type: Isroset-Journal
Vol.6 ,
Issue.2 , pp.27-32, Apr-2018
CrossRef-DOI: https://doi.org/10.26438/ijsrcse/v6i2.2732
Online published on Apr 30, 2018
Copyright © L. B. Bhajantri . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: L. B. Bhajantri, “Fuzzy Logic Based Fault Detection in Distributed Sensor Networks,” International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.2, pp.27-32, 2018.
MLA Style Citation: L. B. Bhajantri "Fuzzy Logic Based Fault Detection in Distributed Sensor Networks." International Journal of Scientific Research in Computer Science and Engineering 6.2 (2018): 27-32.
APA Style Citation: L. B. Bhajantri, (2018). Fuzzy Logic Based Fault Detection in Distributed Sensor Networks. International Journal of Scientific Research in Computer Science and Engineering, 6(2), 27-32.
BibTex Style Citation:
@article{Bhajantri_2018,
author = {L. B. Bhajantri},
title = {Fuzzy Logic Based Fault Detection in Distributed Sensor Networks},
journal = {International Journal of Scientific Research in Computer Science and Engineering},
issue_date = {4 2018},
volume = {6},
Issue = {2},
month = {4},
year = {2018},
issn = {2347-2693},
pages = {27-32},
url = {https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=603},
doi = {https://doi.org/10.26438/ijcse/v6i2.2732}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i2.2732}
UR - https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=603
TI - Fuzzy Logic Based Fault Detection in Distributed Sensor Networks
T2 - International Journal of Scientific Research in Computer Science and Engineering
AU - L. B. Bhajantri
PY - 2018
DA - 2018/04/30
PB - IJCSE, Indore, INDIA
SP - 27-32
IS - 2
VL - 6
SN - 2347-2693
ER -
Abstract :
Distributed Sensor Networks (DSNs) are emerging as a promising area in the real world environment. The nodes are deployed randomly in the DSN environment. The deployed nodes are leads to failure of nodes due to certain environmental conditions. The failure nodes are causes the packet dropping from source node to sink node or disconnection of network. The faulty nodes are also causes the degradation of Quality of Service (QOS) of the network. This paper proposes a fuzzy logic based efficient fault detection for routing in DSNs. This approach incorporates the performance parameters of the network in terms of energy consumption, throughput, and latency.
Key-Words / Index Term :
Distributed Sensor Network, Fuzzy Logic, Fuzzy Inferences, and Fuzzy Membership
References :
[1] S., S, Ankit. T, Brooks. R., R, “An Overview of Distributed Sensors Network”.
Available:
http://books.google.com/books/about/Distributed−sensor−networks.html?id=Nff5
[2] S. S, Iyengar. S., S, “Taxonomy of Distributed Sensors Networks".
Available:
http://systems.ihpmicroelectronics.com/uploads/downloads/DS1_2007_ 06_Taxonomy.pdf.
[3] Q. Hairong, S. S., Iyengar,I, C. Krishnendu, ”Distributed Sensor Networks- A Review of Recent Research”, Journal of Distributed Sensor Networks for Real Time System with Adaptive Configuration, Vol. 338, No, 6, pp. 655 - 668, 2007.
[4] Y. C., Chong, P. S., Kumar, “Sensor Networks: Evolution, Opportunities, and Challenges”, In Proceedings of the IEEE, Vol. 91, No. 8, pp. 1247 - 1256, 2003.
[5] L. Paradis, Q. Han, “A Survey of Fault Management in Wireless Sensor Networks”, Journal of Network and Systems Management, Vol. 15, No. 2, pp. 171 - 190, 2007.
[6] S. Chang, T. Huang, “A Fuzzy Knowledge Based Fault Tolerance Algorithm in Wireless Sensor Networks”, In proceedings of International Conference on Advanced Information Networking and Applications, pp.891-896, 2012.
[7] S. J., Datgheib, “An Efficient Approach to Detect Faulty Readings in Long-thin Wireless Sensor Network using Fuzzy Logic”, In proceedings of Future Communication Networks, pp. 88-92, 2012.
[8] I. Banerjee, P. Chanak, H. Rahaman, T. Samanta, “Effective Fault Detection and Routing Scheme for Wireless Sensor Networks”, Journal of Computers and Electrical Engineering, vol.40, pp.291-306, 2014.
[9] P.Jiang, “A new Method for Node Fault Detectionin Wireless Sensor Networks”, Journal on Sensors, vol.9, pp.1282-1294, 2009.
[10] P. Chanak, I. Banerjee, R. S., Sherratt, “Energy-Aware Distributed Routing Algorithm to Tolerate Network Failure in Wireless Sensor Networks”, Journal of Adhoc Networks, vol.56, pp. 158-172, 2017.
[11] P. Chanak, I. Banerjee, “Fuzzy Rule Based Faulty Node Classification and Management Scheme for Large Scale Wirless Sensor Networks”, Journal of Expert Systems with Applications, vol.45, pp. 307-321, 2017.
[12] T. Muhammed, R. A., Shaikh, “An Analysis of Fault Detection Strategies in Wireless Sensor Networks”, Journal of Network and Computer Applications, vol.78, pp. 267-287, 2017.
[13] L.B., Bhajantri, N.Nalini, “Bayesian Network Based Fault Tolerance in Distributed Sensor Networks”, Journal of Telecommunications and Information Technology, vol.3, pp.1-9, 2014.
[14] Jin-Shyan. L, Wei-Liang. C, “Fuzzy-Logic-Based Clustering Approach for Wireless Sensor Networks Using Energy Predication, IEEE Journal of Sensors, vol.12, no.9, pp. 281-2897, 2012.
[15] Mourad. H, Hervé. G, “A Routing Algorithm based on Fuzzy Logic Approach to Prolong the Lifetime of Wireless Sensor Networks”, International Journal of Open Scientific Research, vol.1, no.5, pp. 24-35, 2013.
[16] J. Shell, S. Coupland, E. Goodyer, “Fuzzy Data Fusion for Fault Detection in Wireless Sensor Networks”, In proceedings of workshop on Computational Intelligence, pp. 1-6, 2010.
[17] M. Rogaia, A. Nauman, P. William, C. Frank, “An Energy Efficient Fuzzy Logic Cluster Formation Protocol in Wireless Sensor Networks”, In proceedings of 3rd International Conference on Ambient Systems, Networks and Technologies, vol.10, pp. 255 – 262, 2012.
[18] J. Maryam, H. T., Abolfazl, “A Routing Algorithm based on Fuzzy Clustering and Minimum Cost Tree (FCMCT) in Wireless Sensor Network” Journal of Advances in Computer Research, vol.5, no.3, pp. 113-123, 2014.
[19] S. Nishant, S. Upinderpal, “A Location Based Approach to Prevent Wormhole Attack in Wireless Sensor Networks”, International Journal of Advanced Research in Computer Science and Software Engineering, vol.4, no.1, pp. 840-845, 2014.
[20] T. Herbert, L. Donald, “Schilling Principles of Communication, Systems”, McGraw-Hill 1986.
[21] G. Miao, N. Himayat, Y. G., Li, “Energy Efficient Link Adaptation in Frequency Selective Channels”, IEEE Transaction on Communication, vol.58, no.2, pp. 2010.
[22] W. Heinzelman, A. Chandrakasan, H. Balakrishnan, “Energy Efficient Communication Protocol for Wireless Micro Sensor Networks”, In the proceedings of the IEEE Hawai International conference on system sciences, vol.8, pp.8020-8030,2000.
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