Procedia Computer Science, volume 175, pages 46-55
Enhanced Cloud Acknowledgement Scheme for a Node Network
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Jodrey School of Computer Science, Acadia Unversity, Wolfville, Nova Scotia, B4P2R6, Canada
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Publication type: Journal Article
Publication date: 2020-08-06
General Engineering
Abstract
An exposed node problem in a network is observed since the beginning of the decentralization of networks. Even though this problem is consistent from a long time, a little-known research is noticed to address this problem. Consequently, it is important to develop monitoring systems that are responsible for identifying and analyzing faulty nodes and packet loss to prevent future transmission delays. In this paper, we propose a scheme named Enhanced Cloud ACKnowledgement Scheme (ECACKS) to identify faulty nodes and to provide the information necessary for a given node to decide on forwarding a data packet. To demonstrate the visibility of our approach, we utilized OMNET++ as a simulation tool and the cloud as a monitoring tool. The results of our performed simulations suggest that this scheme is feasible to manipulate nodes and to protect the network from attackers while taking better decision against faulty nodes.
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Kaja S., Shakshuki E. M., Yasar A. U. H. Enhanced Cloud Acknowledgement Scheme for a Node Network // Procedia Computer Science. 2020. Vol. 175. pp. 46-55.
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Kaja S., Shakshuki E. M., Yasar A. U. H. Enhanced Cloud Acknowledgement Scheme for a Node Network // Procedia Computer Science. 2020. Vol. 175. pp. 46-55.
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TY - JOUR
DO - 10.1016/j.procs.2020.07.010
UR - https://doi.org/10.1016/j.procs.2020.07.010
TI - Enhanced Cloud Acknowledgement Scheme for a Node Network
T2 - Procedia Computer Science
AU - Kaja, Siddardha
AU - Shakshuki, Elhadi M.
AU - Yasar, Ansar Ul Haque
PY - 2020
DA - 2020/08/06
PB - Elsevier
SP - 46-55
VL - 175
SN - 1877-0509
ER -
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@article{2020_Kaja,
author = {Siddardha Kaja and Elhadi M. Shakshuki and Ansar Ul Haque Yasar},
title = {Enhanced Cloud Acknowledgement Scheme for a Node Network},
journal = {Procedia Computer Science},
year = {2020},
volume = {175},
publisher = {Elsevier},
month = {aug},
url = {https://doi.org/10.1016/j.procs.2020.07.010},
pages = {46--55},
doi = {10.1016/j.procs.2020.07.010}
}