Metaheuristic Routing: A Taxonomy and Energy-Efficient Framework for Internet of Things

The complex and heterogeneous ecosystem of the Internet of Things (IoT) makes it difficult to achieve energy-efficient routing because of the power, memory, and processing constraints of smart motes. Recently, metaheuristic-based routing is preferred by researchers for energy-efficient transmission...

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Autores principales:	Bharti Rana, Yashwant Singh, Harvinder Singh
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Energy-efficiency heterogeneity Internet of Things interoperability metaheuristic route optimisation Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/61dbdee3cb7b4039b0bcca448048b27d
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id	oai:doaj.org-article:61dbdee3cb7b4039b0bcca448048b27d
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spelling	oai:doaj.org-article:61dbdee3cb7b4039b0bcca448048b27d2021-12-01T00:00:43ZMetaheuristic Routing: A Taxonomy and Energy-Efficient Framework for Internet of Things2169-353610.1109/ACCESS.2021.3128814https://doaj.org/article/61dbdee3cb7b4039b0bcca448048b27d2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9617461/https://doaj.org/toc/2169-3536The complex and heterogeneous ecosystem of the Internet of Things (IoT) makes it difficult to achieve energy-efficient routing because of the power, memory, and processing constraints of smart motes. Recently, metaheuristic-based routing is preferred by researchers for energy-efficient transmission in IoT. Existing literature divulge their studies to apply metaheuristic directly in IoT by ignoring the principles that account for the overall performance and the global optimum solution. Also, there is no comprehensive study that addresses the issues, principles, and significance of metaheuristic routing in terms of hybridization, objectivity, and applicability in IoT. Being enthused by the aforementioned issues, a detailed taxonomy of metaheuristic-based routing in IoT is presented in this study. A detailed taxonomy is abstracted into an energy-efficient routing framework to provide solutions to the main adversaries encountered during evaluation. The theoretical framework dwells upon two predictive models: i) Metaheuristic-based selection of potential node for energy efficiency in an IoT. ii) Introduction of metaheuristic principles to avoid convergence issues during evaluation. The comprehensive study confers the routing vulnerabilities, energy saving mechanisms, and the pros and cons of metaheuristic in context to IoT. The key research challenges in metaheuristic based routing and future directions to curb with same are thoroughly provided. Further, a smart manufacturing-based case study is demonstrated to generate the fitness criteria for process scheduling problems to gain energy efficiency. The proposed framework provides a benchmarking solution for the ongoing metaheuristic adversaries that have been undercoated in literature to prove the superiority of an algorithm.Bharti RanaYashwant SinghHarvinder SinghIEEEarticleEnergy-efficiencyheterogeneityInternet of Thingsinteroperabilitymetaheuristicroute optimisationElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 155673-155698 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Energy-efficiency heterogeneity Internet of Things interoperability metaheuristic route optimisation Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Energy-efficiency heterogeneity Internet of Things interoperability metaheuristic route optimisation Electrical engineering. Electronics. Nuclear engineering TK1-9971 Bharti Rana Yashwant Singh Harvinder Singh Metaheuristic Routing: A Taxonomy and Energy-Efficient Framework for Internet of Things
description	The complex and heterogeneous ecosystem of the Internet of Things (IoT) makes it difficult to achieve energy-efficient routing because of the power, memory, and processing constraints of smart motes. Recently, metaheuristic-based routing is preferred by researchers for energy-efficient transmission in IoT. Existing literature divulge their studies to apply metaheuristic directly in IoT by ignoring the principles that account for the overall performance and the global optimum solution. Also, there is no comprehensive study that addresses the issues, principles, and significance of metaheuristic routing in terms of hybridization, objectivity, and applicability in IoT. Being enthused by the aforementioned issues, a detailed taxonomy of metaheuristic-based routing in IoT is presented in this study. A detailed taxonomy is abstracted into an energy-efficient routing framework to provide solutions to the main adversaries encountered during evaluation. The theoretical framework dwells upon two predictive models: i) Metaheuristic-based selection of potential node for energy efficiency in an IoT. ii) Introduction of metaheuristic principles to avoid convergence issues during evaluation. The comprehensive study confers the routing vulnerabilities, energy saving mechanisms, and the pros and cons of metaheuristic in context to IoT. The key research challenges in metaheuristic based routing and future directions to curb with same are thoroughly provided. Further, a smart manufacturing-based case study is demonstrated to generate the fitness criteria for process scheduling problems to gain energy efficiency. The proposed framework provides a benchmarking solution for the ongoing metaheuristic adversaries that have been undercoated in literature to prove the superiority of an algorithm.
format	article
author	Bharti Rana Yashwant Singh Harvinder Singh
author_facet	Bharti Rana Yashwant Singh Harvinder Singh
author_sort	Bharti Rana
title	Metaheuristic Routing: A Taxonomy and Energy-Efficient Framework for Internet of Things
title_short	Metaheuristic Routing: A Taxonomy and Energy-Efficient Framework for Internet of Things
title_full	Metaheuristic Routing: A Taxonomy and Energy-Efficient Framework for Internet of Things
title_fullStr	Metaheuristic Routing: A Taxonomy and Energy-Efficient Framework for Internet of Things
title_full_unstemmed	Metaheuristic Routing: A Taxonomy and Energy-Efficient Framework for Internet of Things
title_sort	metaheuristic routing: a taxonomy and energy-efficient framework for internet of things
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/61dbdee3cb7b4039b0bcca448048b27d
work_keys_str_mv	AT bhartirana metaheuristicroutingataxonomyandenergyefficientframeworkforinternetofthings AT yashwantsingh metaheuristicroutingataxonomyandenergyefficientframeworkforinternetofthings AT harvindersingh metaheuristicroutingataxonomyandenergyefficientframeworkforinternetofthings
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Metaheuristic Routing: A Taxonomy and Energy-Efficient Framework for Internet of Things

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