Bio-Inspired Energy-Efficient Cluster-Based Routing Protocol for the IoT in Disaster Scenarios

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aut.relation.issue16
aut.relation.journalSensors (Basel)
aut.relation.startpage5353
aut.relation.volume24
dc.contributor.authorAhmed, Shakil
dc.contributor.authorHossain, Md Akbar
dc.contributor.authorChong, Peter Han Joo
dc.contributor.authorRay, Sayan Kumar
dc.date.accessioned2024-09-03T22:13:08Z
dc.date.available2024-09-03T22:13:08Z
dc.date.issued2024-08-19
dc.description.abstractThe Internet of Things (IoT) is a promising technology for sensing and monitoring the environment to reduce disaster impact. Energy is one of the major concerns for IoT devices, as sensors used in IoT devices are battery-operated. Thus, it is important to reduce energy consumption, especially during data transmission in disaster-prone situations. Clustering-based communication helps reduce a node's energy decay during data transmission and enhances network lifetime. Many hybrid combination algorithms have been proposed for clustering and routing protocols to improve network lifetime in disaster scenarios. However, the performance of these protocols varies widely based on the underlying network configuration and the optimisation parameters considered. In this research, we used the clustering parameters most relevant to disaster scenarios, such as the node's residual energy, distance to sink, and network coverage. We then proposed the bio-inspired hybrid BOA-PSO algorithm, where the Butterfly Optimisation Algorithm (BOA) is used for clustering and Particle Swarm Optimisation (PSO) is used for the routing protocol. The performance of the proposed algorithm was compared with that of various benchmark protocols: LEACH, DEEC, PSO, PSO-GA, and PSO-HAS. Residual energy, network throughput, and network lifetime were considered performance metrics. The simulation results demonstrate that the proposed algorithm effectively conserves residual energy, achieving more than a 17% improvement for short-range scenarios and a 10% improvement for long-range scenarios. In terms of throughput, the proposed method delivers a 60% performance enhancement compared to LEACH, a 53% enhancement compared to DEEC, and a 37% enhancement compared to PSO. Additionally, the proposed method results in a 60% reduction in packet drops compared to LEACH and DEEC, and a 30% reduction compared to PSO. It increases network lifetime by 10-20% compared to the benchmark algorithms.
dc.identifier.citationSensors (Basel), ISSN: 1424-8220 (Print); 1424-8220 (Online), MDPI AG, 24(16), 5353-. doi: 10.3390/s24165353
dc.identifier.doi10.3390/s24165353
dc.identifier.issn1424-8220
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10292/17959
dc.languageeng
dc.publisherMDPI AG
dc.relation.urihttp://dx.doi.org/10.3390/s24165353
dc.rights© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
dc.rights.accessrightsOpenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectclustering protocol
dc.subjectenergy efficiency
dc.subjectIoT
dc.subjectrouting protocol
dc.subjectWSN
dc.subjectIoT
dc.subjectWSN
dc.subjectclustering protocol
dc.subjectenergy efficiency
dc.subjectrouting protocol
dc.subject4605 Data Management and Data Science
dc.subject4606 Distributed Computing and Systems Software
dc.subject46 Information and Computing Sciences
dc.subject4602 Artificial Intelligence
dc.subject7 Affordable and Clean Energy
dc.subject0301 Analytical Chemistry
dc.subject0502 Environmental Science and Management
dc.subject0602 Ecology
dc.subject0805 Distributed Computing
dc.subject0906 Electrical and Electronic Engineering
dc.subjectAnalytical Chemistry
dc.subject3103 Ecology
dc.subject4008 Electrical engineering
dc.subject4009 Electronics, sensors and digital hardware
dc.subject4104 Environmental management
dc.subject4606 Distributed computing and systems software
dc.titleBio-Inspired Energy-Efficient Cluster-Based Routing Protocol for the IoT in Disaster Scenarios
dc.typeJournal Article
pubs.elements-id566512
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