Energy based random repeat trust computation approach and Reliable Fuzzy and Heuristic Ant Colony mechanism for improving QoS in WSN

The furthermost important issues in WSN are to provide a multi-path and multi-constraint Qualify of Service (QoS) routing for uninterrupted communications between the nodes. On one hand, multi-constrained QoS routing deals with identifying paths that assure numerous autonomous QoS limitations, and o...

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Autores principales:	K. Sakthidasan @ Sankaran, Xiao-Zhi Gao, K.R. Devabalaji, Y. Mohana Roopa
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	WSN Quality of Service Reliable Fuzzy and Heuristic Concurrent ACO Energy based random repeat trust computation Reliable Fitness Functions Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/c4592a46b59f42a9a5bb636c644b4d3c
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spelling	oai:doaj.org-article:c4592a46b59f42a9a5bb636c644b4d3c2021-11-28T04:34:02ZEnergy based random repeat trust computation approach and Reliable Fuzzy and Heuristic Ant Colony mechanism for improving QoS in WSN2352-484710.1016/j.egyr.2021.08.121https://doaj.org/article/c4592a46b59f42a9a5bb636c644b4d3c2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S235248472100723Xhttps://doaj.org/toc/2352-4847The furthermost important issues in WSN are to provide a multi-path and multi-constraint Qualify of Service (QoS) routing for uninterrupted communications between the nodes. On one hand, multi-constrained QoS routing deals with identifying paths that assure numerous autonomous QoS limitations, and on the other hand, multi-path refers to the identification of multiple paths. The EB-RRTC (Energy based random repeat trust computation) algorithm is employed for encountering trusted nodes with destination node. The proposed method also employs the Reliable Fuzzy and Heuristic Concurrent ACO (RF-HEACO) QoS Routing Protocol to improve QoS. The HEACO-RF QoS Routing Protocol includes two phases. In the first phase, the Ant Colony Optimization algorithm is modified to identify a deposit of candidate routes among a pair of source and destination. While identifying the candidate routes along with the QoS metrics, heuristic factors and Reliable Fitness Functions are considered. In the second phase, the reliability technique is used to measure each path, and the paths with high reliability is selected by the ant agents using Fuzzy logic based on the metrics link stability, residual energy, and packet loss rate. Simulation outcomes prove that RF-HEACO QoS routing protocol can decrease the energy consumption and improve the packet delivery ratio, and packet loss rate with the minimum delay when compared with the techniques. In other words, our method is well capable of offering improved QoS (Quality of Service).K. Sakthidasan @ SankaranXiao-Zhi GaoK.R. DevabalajiY. Mohana RoopaElsevierarticleWSNQuality of ServiceReliable Fuzzy and Heuristic Concurrent ACOEnergy based random repeat trust computationReliable Fitness FunctionsElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 7967-7976 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	WSN Quality of Service Reliable Fuzzy and Heuristic Concurrent ACO Energy based random repeat trust computation Reliable Fitness Functions Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	WSN Quality of Service Reliable Fuzzy and Heuristic Concurrent ACO Energy based random repeat trust computation Reliable Fitness Functions Electrical engineering. Electronics. Nuclear engineering TK1-9971 K. Sakthidasan @ Sankaran Xiao-Zhi Gao K.R. Devabalaji Y. Mohana Roopa Energy based random repeat trust computation approach and Reliable Fuzzy and Heuristic Ant Colony mechanism for improving QoS in WSN
description	The furthermost important issues in WSN are to provide a multi-path and multi-constraint Qualify of Service (QoS) routing for uninterrupted communications between the nodes. On one hand, multi-constrained QoS routing deals with identifying paths that assure numerous autonomous QoS limitations, and on the other hand, multi-path refers to the identification of multiple paths. The EB-RRTC (Energy based random repeat trust computation) algorithm is employed for encountering trusted nodes with destination node. The proposed method also employs the Reliable Fuzzy and Heuristic Concurrent ACO (RF-HEACO) QoS Routing Protocol to improve QoS. The HEACO-RF QoS Routing Protocol includes two phases. In the first phase, the Ant Colony Optimization algorithm is modified to identify a deposit of candidate routes among a pair of source and destination. While identifying the candidate routes along with the QoS metrics, heuristic factors and Reliable Fitness Functions are considered. In the second phase, the reliability technique is used to measure each path, and the paths with high reliability is selected by the ant agents using Fuzzy logic based on the metrics link stability, residual energy, and packet loss rate. Simulation outcomes prove that RF-HEACO QoS routing protocol can decrease the energy consumption and improve the packet delivery ratio, and packet loss rate with the minimum delay when compared with the techniques. In other words, our method is well capable of offering improved QoS (Quality of Service).
format	article
author	K. Sakthidasan @ Sankaran Xiao-Zhi Gao K.R. Devabalaji Y. Mohana Roopa
author_facet	K. Sakthidasan @ Sankaran Xiao-Zhi Gao K.R. Devabalaji Y. Mohana Roopa
author_sort	K. Sakthidasan @ Sankaran
title	Energy based random repeat trust computation approach and Reliable Fuzzy and Heuristic Ant Colony mechanism for improving QoS in WSN
title_short	Energy based random repeat trust computation approach and Reliable Fuzzy and Heuristic Ant Colony mechanism for improving QoS in WSN
title_full	Energy based random repeat trust computation approach and Reliable Fuzzy and Heuristic Ant Colony mechanism for improving QoS in WSN
title_fullStr	Energy based random repeat trust computation approach and Reliable Fuzzy and Heuristic Ant Colony mechanism for improving QoS in WSN
title_full_unstemmed	Energy based random repeat trust computation approach and Reliable Fuzzy and Heuristic Ant Colony mechanism for improving QoS in WSN
title_sort	energy based random repeat trust computation approach and reliable fuzzy and heuristic ant colony mechanism for improving qos in wsn
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/c4592a46b59f42a9a5bb636c644b4d3c
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_version_	1718408343104520192

Energy based random repeat trust computation approach and Reliable Fuzzy and Heuristic Ant Colony mechanism for improving QoS in WSN

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