Naive Bayes Based QoS for Wireless Sensor Networks
T. Beula Darling1 , G. Suganthi2
Section:Research Paper, Product Type: Journal Paper
Volume-7 ,
Issue-2 , Page no. 27-33, Feb-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i2.2733
Online published on Feb 28, 2019
Copyright © T. Beula Darling, G. Suganthi . 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: T. Beula Darling, G. Suganthi, “Naive Bayes Based QoS for Wireless Sensor Networks,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.27-33, 2019.
MLA Style Citation: T. Beula Darling, G. Suganthi "Naive Bayes Based QoS for Wireless Sensor Networks." International Journal of Computer Sciences and Engineering 7.2 (2019): 27-33.
APA Style Citation: T. Beula Darling, G. Suganthi, (2019). Naive Bayes Based QoS for Wireless Sensor Networks. International Journal of Computer Sciences and Engineering, 7(2), 27-33.
BibTex Style Citation:
@article{Darling_2019,
author = {T. Beula Darling, G. Suganthi},
title = {Naive Bayes Based QoS for Wireless Sensor Networks},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {7},
Issue = {2},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {27-33},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3615},
doi = {https://doi.org/10.26438/ijcse/v7i2.2733}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i2.2733}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3615
TI - Naive Bayes Based QoS for Wireless Sensor Networks
T2 - International Journal of Computer Sciences and Engineering
AU - T. Beula Darling, G. Suganthi
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 27-33
IS - 2
VL - 7
SN - 2347-2693
ER -
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Abstract
Sensor networks is widely used in real-time applications that have made emergent of Quality of Service (QoS) based communication schemes. Recently QoS in sensor network becoming an interesting topic among the research community. This paper proposes a Naïve Bayes based QoS mechanism, which is suitable for both real-time and non-real-time applications. The proposed mechanism achieves the desired QoS by selecting the neighboring nodes in a way to meet the required QoS. Performance of the scheme is evaluated through simulations. The results provide insights on the performance of the system based on different evaluation metrics such as end-to-end delay, packet delivery ratio and the node failure probabilities. The results demonstrate that the scheme is able to outperform the compared mechanisms such as Multi-constraint Multi-Path (MCMP) routing protocol and energy efficient QoS aware routing protocol (EQSR) using both real time traffic (EQSR-RT) and non-real time traffic(EQSR-NRT).
Key-Words / Index Term
Sensor Network, Wireless, Quality of Service, Naive Bayes classifier, Real-time applications
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