Network Lifetime Improvement through Energy-Efficient Hybrid Routing Protocol for IoT Applications

The application of the Internet of Things (IoT) in wireless sensor networks (WSNs) poses serious challenges in preserving network longevity since the IoT necessitates a considerable amount of energy usage for sensing, processing, and data communication. As a result, there are several conventional al...

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Autores principales:	Mukesh Mishra, Gourab Sen Gupta, Xiang Gui
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	energy efficiency network lifetime hybrid routing protocol genetic algorithm particle swarm optimization Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/e3a390838b8143bebbc76c62822973f0
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spelling	oai:doaj.org-article:e3a390838b8143bebbc76c62822973f02021-11-25T18:56:27ZNetwork Lifetime Improvement through Energy-Efficient Hybrid Routing Protocol for IoT Applications10.3390/s212274391424-8220https://doaj.org/article/e3a390838b8143bebbc76c62822973f02021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7439https://doaj.org/toc/1424-8220The application of the Internet of Things (IoT) in wireless sensor networks (WSNs) poses serious challenges in preserving network longevity since the IoT necessitates a considerable amount of energy usage for sensing, processing, and data communication. As a result, there are several conventional algorithms that aim to enhance the performance of WSN networks by incorporating various optimization strategies. These algorithms primarily focus on the network layer by developing routing protocols to perform reliable communication in an energy-efficient manner, thus leading to an enhanced network life. For increasing the network lifetime in WSNs, clustering has been widely accepted as an important method that groups sensor nodes (SNs) into clusters. Additionally, numerous researchers have been focusing on devising various methods to increase the network lifetime. The prime factor that helps to maximize the network lifetime is the minimization of energy consumption. The authors of this paper propose a multi-objective optimization approach. It selects the optimal route for transmitting packets from source to sink or the base station (BS). The proposed model employs a two-step approach. The first step employs a trust model to select the cluster heads (CHs) that manage the data communication between the BS and nodes in the cluster. Further, a novel hybrid algorithm, combining a particle swarm optimization (PSO) algorithm and a genetic algorithm (GA), is proposed to determine the routes for data transmission. To validate the efficacy of the proposed hybrid algorithm, named PSOGA, simulations were conducted and the results were compared with the existing LEACH method and PSO, with a random route selection for five different cases. The obtained results establish the efficiency of the proposed approach, as it outperforms existing methods with increased energy efficiency, increased network throughput, high packet delivery rate, and high residual energy throughout the entire iterations.Mukesh MishraGourab Sen GuptaXiang GuiMDPI AGarticleenergy efficiencynetwork lifetimehybrid routing protocolgenetic algorithmparticle swarm optimizationChemical technologyTP1-1185ENSensors, Vol 21, Iss 7439, p 7439 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	energy efficiency network lifetime hybrid routing protocol genetic algorithm particle swarm optimization Chemical technology TP1-1185
spellingShingle	energy efficiency network lifetime hybrid routing protocol genetic algorithm particle swarm optimization Chemical technology TP1-1185 Mukesh Mishra Gourab Sen Gupta Xiang Gui Network Lifetime Improvement through Energy-Efficient Hybrid Routing Protocol for IoT Applications
description	The application of the Internet of Things (IoT) in wireless sensor networks (WSNs) poses serious challenges in preserving network longevity since the IoT necessitates a considerable amount of energy usage for sensing, processing, and data communication. As a result, there are several conventional algorithms that aim to enhance the performance of WSN networks by incorporating various optimization strategies. These algorithms primarily focus on the network layer by developing routing protocols to perform reliable communication in an energy-efficient manner, thus leading to an enhanced network life. For increasing the network lifetime in WSNs, clustering has been widely accepted as an important method that groups sensor nodes (SNs) into clusters. Additionally, numerous researchers have been focusing on devising various methods to increase the network lifetime. The prime factor that helps to maximize the network lifetime is the minimization of energy consumption. The authors of this paper propose a multi-objective optimization approach. It selects the optimal route for transmitting packets from source to sink or the base station (BS). The proposed model employs a two-step approach. The first step employs a trust model to select the cluster heads (CHs) that manage the data communication between the BS and nodes in the cluster. Further, a novel hybrid algorithm, combining a particle swarm optimization (PSO) algorithm and a genetic algorithm (GA), is proposed to determine the routes for data transmission. To validate the efficacy of the proposed hybrid algorithm, named PSOGA, simulations were conducted and the results were compared with the existing LEACH method and PSO, with a random route selection for five different cases. The obtained results establish the efficiency of the proposed approach, as it outperforms existing methods with increased energy efficiency, increased network throughput, high packet delivery rate, and high residual energy throughout the entire iterations.
format	article
author	Mukesh Mishra Gourab Sen Gupta Xiang Gui
author_facet	Mukesh Mishra Gourab Sen Gupta Xiang Gui
author_sort	Mukesh Mishra
title	Network Lifetime Improvement through Energy-Efficient Hybrid Routing Protocol for IoT Applications
title_short	Network Lifetime Improvement through Energy-Efficient Hybrid Routing Protocol for IoT Applications
title_full	Network Lifetime Improvement through Energy-Efficient Hybrid Routing Protocol for IoT Applications
title_fullStr	Network Lifetime Improvement through Energy-Efficient Hybrid Routing Protocol for IoT Applications
title_full_unstemmed	Network Lifetime Improvement through Energy-Efficient Hybrid Routing Protocol for IoT Applications
title_sort	network lifetime improvement through energy-efficient hybrid routing protocol for iot applications
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e3a390838b8143bebbc76c62822973f0
work_keys_str_mv	AT mukeshmishra networklifetimeimprovementthroughenergyefficienthybridroutingprotocolforiotapplications AT gourabsengupta networklifetimeimprovementthroughenergyefficienthybridroutingprotocolforiotapplications AT xianggui networklifetimeimprovementthroughenergyefficienthybridroutingprotocolforiotapplications
_version_	1718410560154894336

Network Lifetime Improvement through Energy-Efficient Hybrid Routing Protocol for IoT Applications

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