Flexible congestion control using fuzzy logic for Wireless Sensor Networks
M. Arora1 , S. Upadhyaya2 , N. Kashyap3
- Department of Computer Science and Application, Kurukshetra University, Haryana, India.
- Department of Computer Science and Application, Kurukshetra University, Haryana, India.
- Department of Computer Science and Application, Kurukshetra University, Haryana, India.
Section:Research Paper, Product Type: Journal Paper
Volume-6 ,
Issue-5 , Page no. 492-499, May-2018
CrossRef-DOI: https://doi.org/10.26438/ijcse/v6i5.492499
Online published on May 31, 2018
Copyright © M. Arora, S. Upadhyaya, N. Kashyap . 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: M. Arora, S. Upadhyaya, N. Kashyap, “Flexible congestion control using fuzzy logic for Wireless Sensor Networks,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.492-499, 2018.
MLA Style Citation: M. Arora, S. Upadhyaya, N. Kashyap "Flexible congestion control using fuzzy logic for Wireless Sensor Networks." International Journal of Computer Sciences and Engineering 6.5 (2018): 492-499.
APA Style Citation: M. Arora, S. Upadhyaya, N. Kashyap, (2018). Flexible congestion control using fuzzy logic for Wireless Sensor Networks. International Journal of Computer Sciences and Engineering, 6(5), 492-499.
BibTex Style Citation:
@article{Arora_2018,
author = {M. Arora, S. Upadhyaya, N. Kashyap},
title = {Flexible congestion control using fuzzy logic for Wireless Sensor Networks},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {6},
Issue = {5},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {492-499},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2010},
doi = {https://doi.org/10.26438/ijcse/v6i5.492499}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i5.492499}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2010
TI - Flexible congestion control using fuzzy logic for Wireless Sensor Networks
T2 - International Journal of Computer Sciences and Engineering
AU - M. Arora, S. Upadhyaya, N. Kashyap
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 492-499
IS - 5
VL - 6
SN - 2347-2693
ER -
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Abstract
In WSNs, congestion seems to be an unpredictable stage caused by the packets collision and the overloaded network. The main reason of overloading is the neighboring nodes. In large networks, mainly neighbor nodes behave smartly to grasp the large amount of bandwidth in advance for packet transmission. The affect of low bandwidth causes the problem of packet delay and dropping rate. Both network and transport layer share the responsibility to control the congestion. To achieve these objectives, Flexible congestion control scheme (FCCFA) is proposed. FCCFA uses the closed loop congestion control technique to control the traffic rate accordingly by using three parameters. The Type-2 Fuzzy Logic System is used to estimates the adjustment rate to handle the uncertainty of data. Implicit notification system is used to notify the immediate nodes without wasting any energy. The simulated results give the proof of our promises and improvements.
Key-Words / Index Term
Congestion Control Technique, Delay Ratio, Dropping Rate , Flexible, Fuzzy Logic System, Neighbors, Type-2 Fuzzy logic.
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