Sparrow Search Algorithm-based Resource Management in Internet of Things (IoT)

INTRODUCTION: The principle of Internet of Things (IoT) completely concentrates on integrating heterogeneous entities for establishing seamless cooperation among virtual and physical entities. IoT has facilitated a paradigm shift of the Internet from collaborating networks to physical w...

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Autores principales: S. Karthick, N. Gomathi
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Publicado: European Alliance for Innovation (EAI) 2022
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Acceso en línea:https://doaj.org/article/0ace9574c834421da1b3a363a14b64b8
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spelling oai:doaj.org-article:0ace9574c834421da1b3a363a14b64b82021-11-30T11:07:32ZSparrow Search Algorithm-based Resource Management in Internet of Things (IoT)2032-944X10.4108/eai.13-5-2021.169915https://doaj.org/article/0ace9574c834421da1b3a363a14b64b82022-01-01T00:00:00Zhttps://eudl.eu/pdf/10.4108/eai.13-5-2021.169915https://doaj.org/toc/2032-944XINTRODUCTION: The principle of Internet of Things (IoT) completely concentrates on integrating heterogeneous entities for establishing seamless cooperation among virtual and physical entities. IoT has facilitated a paradigm shift of the Internet from collaborating networks to physical world interaction. The IoT devices are potent in sensing, processing, communicating and data storing that are derived from the physical world. The majority of the IoT applications are considered to be pervasive in characteristics and face huge challenges due to unattended IoT devices and constrained resources.OBJECTIVES: The proposed Sparrow Search Algorithm-based Resource Management (SSARM) targets on the potential assignment of resources to gateways in an IoT environment with better establishment in maintaining the tradeoff between intensification and diversification. It concentrates on the reduction of total data transmission cost in the IoT environment. METHODS: In this paper, Sparrow Search Algorithm-based Resource Management (SSARM) is proposed based on the inspired by the foraging, group wisdom and anti-predation characteristics of sparrow for potential assignment of multiple resources to gateways in IoT. This SSARM balances the degree of exploitation and exploration in the optimization search space to an acceptable level. RESULTS: The simulation results of this proposed SSARM confirmed better throughput of 23.82%, reduced delay of 18.21% and minimized energy consumption of 20.28% when compared to the existing schemes. CONCLUSION: This SSARM offers better accuracy in stability, convergence rate, precision in searching and preventing the value of local point of optimality.S. KarthickN. GomathiEuropean Alliance for Innovation (EAI)articleinternet-of-things (iot)resource allocation sparrow search algorithmgatewaysoptimization search spaceScienceQMathematicsQA1-939Electronic computers. Computer scienceQA75.5-76.95ENEAI Endorsed Transactions on Energy Web, Vol 9, Iss 37 (2022)
institution DOAJ
collection DOAJ
language EN
topic internet-of-things (iot)
resource allocation
sparrow search algorithm
gateways
optimization search space
Science
Q
Mathematics
QA1-939
Electronic computers. Computer science
QA75.5-76.95
spellingShingle internet-of-things (iot)
resource allocation
sparrow search algorithm
gateways
optimization search space
Science
Q
Mathematics
QA1-939
Electronic computers. Computer science
QA75.5-76.95
S. Karthick
N. Gomathi
Sparrow Search Algorithm-based Resource Management in Internet of Things (IoT)
description INTRODUCTION: The principle of Internet of Things (IoT) completely concentrates on integrating heterogeneous entities for establishing seamless cooperation among virtual and physical entities. IoT has facilitated a paradigm shift of the Internet from collaborating networks to physical world interaction. The IoT devices are potent in sensing, processing, communicating and data storing that are derived from the physical world. The majority of the IoT applications are considered to be pervasive in characteristics and face huge challenges due to unattended IoT devices and constrained resources.OBJECTIVES: The proposed Sparrow Search Algorithm-based Resource Management (SSARM) targets on the potential assignment of resources to gateways in an IoT environment with better establishment in maintaining the tradeoff between intensification and diversification. It concentrates on the reduction of total data transmission cost in the IoT environment. METHODS: In this paper, Sparrow Search Algorithm-based Resource Management (SSARM) is proposed based on the inspired by the foraging, group wisdom and anti-predation characteristics of sparrow for potential assignment of multiple resources to gateways in IoT. This SSARM balances the degree of exploitation and exploration in the optimization search space to an acceptable level. RESULTS: The simulation results of this proposed SSARM confirmed better throughput of 23.82%, reduced delay of 18.21% and minimized energy consumption of 20.28% when compared to the existing schemes. CONCLUSION: This SSARM offers better accuracy in stability, convergence rate, precision in searching and preventing the value of local point of optimality.
format article
author S. Karthick
N. Gomathi
author_facet S. Karthick
N. Gomathi
author_sort S. Karthick
title Sparrow Search Algorithm-based Resource Management in Internet of Things (IoT)
title_short Sparrow Search Algorithm-based Resource Management in Internet of Things (IoT)
title_full Sparrow Search Algorithm-based Resource Management in Internet of Things (IoT)
title_fullStr Sparrow Search Algorithm-based Resource Management in Internet of Things (IoT)
title_full_unstemmed Sparrow Search Algorithm-based Resource Management in Internet of Things (IoT)
title_sort sparrow search algorithm-based resource management in internet of things (iot)
publisher European Alliance for Innovation (EAI)
publishDate 2022
url https://doaj.org/article/0ace9574c834421da1b3a363a14b64b8
work_keys_str_mv AT skarthick sparrowsearchalgorithmbasedresourcemanagementininternetofthingsiot
AT ngomathi sparrowsearchalgorithmbasedresourcemanagementininternetofthingsiot
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