Performance Review of Selected Topology-Aware Routing Strategies for Clustering Sensor Networks

Simple item page
dc.contributor.authorSalami, Abdulazeez Femi
dc.contributor.authorZakariyya, Olayinka Sikiru
dc.contributor.authorAmuda, S. A. Y.
dc.contributor.authorSadiq, Bashir Olaniyi
dc.contributor.authorAbdulrahman, Olaniyan Adebayo
dc.date.accessioned2019-10-30T14:07:55Z
dc.date.available2019-10-30T14:07:55Z
dc.date.issued2019-12-11
dc.description.abstractIn this paper, cluster-based routing (CBR) protocols for addressing issues pertinent to energy consumption, network lifespan, resource allocation and network coverage are reviewed. The paper presents an in-depth performance analysis and critical review of selected CBR algorithms. The study is domain-specific and simulation-based with emphasis on the tripartite trade-off between coverage, connectivity and lifespan. The rigorous statistical analysis of selected CBR schemes was also presented. Network simulation was conducted with Java-based Atarraya discrete-event simulation toolkit while statistical analysis was carried out using MATLAB. It was observed that the Periodic, Event-Driven and Query-Based Routing (PEQ) schemes performs better than Low-Energy Adaptive Clustering Hierarchy (LEACH), Threshold-Sensitive Energy-Efficient Sensor Network (TEEN) and Geographic Adaptive Fidelity (GAF) in terms of network lifespan, energy consumption and network throughput.en_US
dc.identifier.issn2437-2110
dc.identifier.urihttp://hdl.handle.net/123456789/3199
dc.language.isoenen_US
dc.publisherFaculty of Engineering & Technology, University of Ilorin, Ilorin, Nigeriaen_US
dc.relation.ispartofseriesNigerian Journal of Technological Development (NJTD);16 (4); 174-182
dc.subjectWireless sensor networken_US
dc.subjectHierarchical topologiesen_US
dc.subjectCluster-based routingen_US
dc.subjectStatistical analysisen_US
dc.subjectNetwork simulationen_US
dc.titlePerformance Review of Selected Topology-Aware Routing Strategies for Clustering Sensor Networksen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
363-8-1655-1-10-20190921.pdf
Size:
721.73 KB
Format:
Adobe Portable Document Format
Description:
Main Article
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.69 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections