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

Simple item page
dc.citation.issue22
dc.citation.volume21
dc.contributor.authorMishra M
dc.contributor.authorGupta GS
dc.contributor.authorGui X
dc.contributor.editorTakefuji Y
dc.contributor.editorMukhopadhyay S
dc.contributor.editorVezzetti E
dc.coverage.spatialSwitzerland
dc.date.accessioned2023-10-18T19:48:40Z
dc.date.accessioned2023-10-19T20:38:39Z
dc.date.available2021-11-09
dc.date.available2023-10-18T19:48:40Z
dc.date.available2023-10-19T20:38:39Z
dc.date.issued2021-11-09
dc.date.updated2023-10-18T03:10:22Z
dc.description.abstractThe 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.
dc.description.confidentialfalse
dc.edition.editionNovember 2021
dc.identifierARTN 7439
dc.identifiers21227439
dc.identifierhttps://www.ncbi.nlm.nih.gov/pubmed/34833516
dc.identifier.citationMishra M, Gupta GS, Gui X. (2021). Network Lifetime Improvement through Energy-Efficient Hybrid Routing Protocol for IoT Applications.. Sensors (Basel). 21. 22.
dc.identifier.doi10.3390/s21227439
dc.identifier.eissn1424-8220
dc.identifier.elements-typejournal-article
dc.identifier.harvestedMassey_Dark
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10179/20342
dc.languageeng
dc.publisherMDPI (Basel, Switzerland)
dc.publisher.urihttps://www.mdpi.com/1424-8220/21/22/7439
dc.relation.isPartOfSensors (Basel)
dc.rights(c) 2021 The Author/sen_US
dc.rightsCC BYen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.subjectenergy efficiency
dc.subjectgenetic algorithm
dc.subjecthybrid routing protocol
dc.subjectnetwork lifetime
dc.subjectparticle swarm optimization
dc.titleNetwork Lifetime Improvement through Energy-Efficient Hybrid Routing Protocol for IoT Applications
dc.typeJournal article
pubs.elements-id449553
pubs.organisational-groupOther
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
449553 PDF.pdf
Size:
4.18 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Journal Articles