Publication:
Survey on Clustered Routing Protocols Adaptivity for Fire Incidents: Architecture Challenges, Data Losing, and Recommended Solutions

Simple item page
dc.citedby0
dc.contributor.authorAbbas O.K.en_US
dc.contributor.authorAbdullah F.en_US
dc.contributor.authorRadzi N.A.M.en_US
dc.contributor.authorSalman A.D.en_US
dc.contributor.authorAbdulkadir S.J.en_US
dc.contributor.authorid59281369500en_US
dc.contributor.authorid56613644500en_US
dc.contributor.authorid57218936786en_US
dc.contributor.authorid57208264120en_US
dc.contributor.authorid58045042200en_US
dc.date.accessioned2025-03-03T07:46:19Z
dc.date.available2025-03-03T07:46:19Z
dc.date.issued2024
dc.description.abstractWireless Sensor Networks (WSNs) significantly impact reliable data communications in environmental monitoring, health care, and transportation applications. Low-powered and small sensor nodes compose these networks, configured to perform specific tasks like detection, management, prediction, and monitoring. Clustering in WSNs is a reliable method of effectively transferring data within the network through routing. Thus, developing an effective routing algorithm to optimize network functionality is a big concern. Cluster Heads (CHs), selected through a range of metrics, are responsible for data aggregation and transmission to the Base Station (BS). Many clustered routing algorithms have been developed to address various issues like energy efficiency, network lifetime, and hotspot problems. However, several challenges still need to be addressed, including network segmentation, isolated node issues, and data routing failures. This survey offers a comprehensive review of various routing protocols and their different performance metrics. It evaluates the architectural challenges that caused network segmentations and data routing failures in the case of unexpected head node failures during high-stress events, particularly indoor fires. Recommended solutions to the mentioned issues are also explored. A new taxonomy for the CH-selection methods based on the technique used is proposed, along with a comparative review of other CH-selection surveys. Additionally, this survey scrutinizes the challenges and constraints inherent in current fault tolerance routing algorithms, evaluating their efficacy in fire-related incidents. The survey concluded that protocol designers must focus on the development and implementation of fire-adaptive routing protocols, incorporating optimal fault tolerance routing algorithms that adapt seamlessly to unforeseen environmental changes, including fire incidents. Such adaptability is pivotal in preserving network topology and preventing data loss. ? 2013 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/ACCESS.2024.3443990
dc.identifier.epage113552
dc.identifier.scopus2-s2.0-85201618434
dc.identifier.spage113518
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85201618434&doi=10.1109%2fACCESS.2024.3443990&partnerID=40&md5=c67457990b26504b861266f5f9ebdfdb
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36981
dc.identifier.volume12
dc.pagecount34
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofAll Open Access; Gold Open Access
dc.sourceScopus
dc.sourcetitleIEEE Access
dc.subjectData communication systems
dc.subjectFault tolerance
dc.subjectFire hazards
dc.subjectSteganography
dc.subjectArchitecture challenge
dc.subjectClusterings
dc.subjectData routing
dc.subjectData routing failure
dc.subjectHier-archical clustering
dc.subjectHierarchical Clustering
dc.subjectNetwork segmentation
dc.subjectRouting failures
dc.subjectRouting-protocol
dc.subjectRoutings
dc.subjectSensors network
dc.subjectWireless sensor
dc.subjectSensor nodes
dc.titleSurvey on Clustered Routing Protocols Adaptivity for Fire Incidents: Architecture Challenges, Data Losing, and Recommended Solutionsen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS