EDHRP: Energy Efficient Event Driven Hybrid Routing Protocol for Densely Deployed Wireless Sensor Networks

dc.contributor.author Faheem, Muhammad
dc.contributor.author Abbas, Muhammad Zahid
dc.contributor.author Tuna, Gurkan
dc.contributor.author Gungor, Vehbi Cagri
dc.date.accessioned 2025-09-25T10:45:17Z
dc.date.available 2025-09-25T10:45:17Z
dc.date.issued 2015
dc.description Phd, Muhammad Faheem,/0000-0003-4628-4486; en_US
dc.description.abstract Efficient management of energy resources is a challenging research area in Wireless Sensor Networks (WSNs). Recent studies have revealed that clustering is an efficient topology control approach for organizing a network into a connected hierarchy which balances the traffic load of the sensor nodes and improves the overall scalability and the lifetime of WSNs. Inspired by the advantages of clustering techniques, we have three main contributions in this paper. First, we propose an energy efficient cluster formation algorithm called Active Node Cluster Formation (ANCF). The core aim to propose ANCF algorithm is to distribute heavy data traffic and high energy consumption load evenly in the network by offering unequal size of clusters in the network. The developed scheme appoints each cluster head (CH) near to the sink and sensing event while the remaining set of the cluster heads (CHs) are appointed in the middle of each cluster to achieve the highest level of energy efficiency in dense deployment. Second, we propose a lightweight sensing mechanism called Active Node Sensing Algorithm (ANSA). The key aim to propose the ANSA algorithm is to avoid high sensing overlapping data redundancy by appointing a set of active nodes in each cluster with satisfy coverage near to the event. Third, we propose an Active Node Routing Algorithm (ANRA) to address complex inter and intra cluster routing issues in highly dense deployment based on the node dominating values. Extensive experimental studies conducted through network simulator NCTUNs 6.0 reveal that our proposed scheme outperforms existing routing techniques in terms of energy efficiency, end-to-end delay and data redundancy, congestion management and setup robustness. (C) 2015 Elsevier Ltd. All rights reserved. en_US
dc.description.sponsorship Turkish Scientific and Technical Research Council (TUBITAK) [114E248]; Turkish National Academy of Sciences Distinguished Young Scientist Award Program (TUBA-GEBIP) [V.G./TBA-GEBP/2013-14] en_US
dc.description.sponsorship This work was supported by the Turkish Scientific and Technical Research Council (TUBITAK) under Grant no. 114E248. In addition, the work of V.C. Gungor was also supported in part by the Turkish National Academy of Sciences Distinguished Young Scientist Award Program (TUBA-GEBIP) under Grand no. V.G./TBA-GEBP/2013-14. en_US
dc.identifier.doi 10.1016/j.jnca.2015.08.002
dc.identifier.issn 1084-8045
dc.identifier.scopus 2-s2.0-84940733748
dc.identifier.uri https://doi.org/10.1016/j.jnca.2015.08.002
dc.identifier.uri https://hdl.handle.net/20.500.12573/3662
dc.language.iso en en_US
dc.publisher Academic Press Ltd- Elsevier Science Ltd en_US
dc.relation.ispartof Journal of Network and Computer Applications en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Energy Efficiency en_US
dc.subject Clustering en_US
dc.subject Sensing en_US
dc.subject Routing en_US
dc.subject Densely Deployment en_US
dc.subject Wireless Sensor Networks en_US
dc.title EDHRP: Energy Efficient Event Driven Hybrid Routing Protocol for Densely Deployed Wireless Sensor Networks en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Phd, Muhammad Faheem,/0000-0003-4628-4486
gdc.author.scopusid 58648789900
gdc.author.scopusid 56816385000
gdc.author.scopusid 48862103700
gdc.author.scopusid 10739803300
gdc.author.wosid Faheem, Muhammad/Abe-4074-2020
gdc.author.wosid Tuna, Gurkan/Aag-4412-2019
gdc.bip.impulseclass C4
gdc.bip.influenceclass C4
gdc.bip.popularityclass C4
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Abdullah Gül University en_US
gdc.description.departmenttemp [Faheem, Muhammad; Gungor, Vehbi Cagri] Abdullah Gul Univ, Dept Comp Engn, TR-38039 Kayseri, Turkey; [Gungor, Vehbi Cagri] Bahcesehir Univ, Dept Comp Engn, TR-34353 Istanbul, Turkey; [Tuna, Gurkan] Trakya Univ, Dept Comp Programming, TR-22020 Edirne, Turkey; [Abbas, Muhammad Zahid] Univ Teknol Malaysia, Dept Comp Sci, Johor Baharu 81310, Johor, Malaysia en_US
gdc.description.endpage 326 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 309 en_US
gdc.description.volume 58 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q1
gdc.identifier.openalex W1121506412
gdc.identifier.wos WOS:000370459800026
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 22.0
gdc.oaire.influence 7.915544E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Energy Efficiency
gdc.oaire.keywords Sensing
gdc.oaire.keywords Wireless Sensor Networks
gdc.oaire.keywords Densely Deployment
gdc.oaire.keywords Clustering
gdc.oaire.keywords Algorithms
gdc.oaire.keywords Routing
gdc.oaire.popularity 2.3420059E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration International
gdc.openalex.fwci 9.4648
gdc.openalex.normalizedpercentile 0.98
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 62
gdc.plumx.crossrefcites 63
gdc.plumx.facebookshareslikecount 63
gdc.plumx.mendeley 47
gdc.plumx.scopuscites 72
gdc.scopus.citedcount 76
gdc.wos.citedcount 64
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relation.isOrgUnitOfPublication.latestForDiscovery 665d3039-05f8-4a25-9a3c-b9550bffecef

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