A new localization mechanism in IoT using grasshopper optimization algorithm and DVHOP algorithm

Basit Öğe Kaydı
dc.contributor.authorJanabi, Shakir Mahmood Al
dc.contributor.authorKurnaz, Sefer
dc.date.accessioned2023-03-23T09:47:38Z
dc.date.available2023-03-23T09:47:38Z
dc.date.issued2023en_US
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractNowadays, different types of computer networks such as Wireless sensor networks (WSNs), the Internet of things (IoT), and wireless body area networks (WBANs) transfer information, share resources, and process information. The IoT is a novel network which interconnects various smart devices and can consist of heterogeneous components such as WSNs for monitoring and collecting information. Characterized by specific advantages, the IoT contains different types of nodes, each with few sensors to collect environmental information on agriculture, ecosystem, search and rescue, conflagrations, etc. Despite extensive applications and high flexibility in the modern world, the IoT faces specific challenges, the most important of which include routing, energy consumption and localization. Localization leads to other network challenges and thus can be considered the most important challenge in the IoT. Localization refers to a process aiming at determining the positions and locations of objects lacking global positioning system (GPS) and needing to use the information of network sensors and topology to estimate their own positions and locations. The distance vector hop (DV-Hop) algorithm is a range-free localization technique, in which the major challenge is that the number of hops between two nodes is multiplied by a number that is the same for all nodes leading to a significant reduction in the localization accuracy. In the method proposed in this paper, a network node with no GPS determines the hops from three anchor nodes with GPS. The location of smart objects can be then estimated according to distances from those anchor nodes. Thereafter, a few positions can be created nearby to mitigate the error. Then each position can be regarded as a member of the grasshopper optimization algorithm (GOA) to minimize the localization error. According to the results obtained from implementation of the proposed algorithm, it is characterized by a lower localization error than grasshopper optimization, butterfly optimization, firefly and swarm optimization algorithms.en_US
dc.identifier.citationJanabi, S. M. A., & Kurnaz, S. (2023). A new localization mechanism in IoT using grasshopper optimization algorithm and DVHOP algorithm. Wireless Networks.en_US
dc.identifier.issn1022-0038
dc.identifier.scopus2-s2.0-85149978900
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://hdl.handle.net/20.500.12939/3451
dc.identifier.wosWOS:000948589100001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorJanabi, Shakir Mahmood Al
dc.institutionauthorKurnaz, Sefer
dc.language.isoen
dc.publisherSpringeren_US
dc.relation.ispartofWireless Networks
dc.relation.isversionof10.1007/s11276-023-03247-2en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDV-Hop localization algorithmen_US
dc.subjectGrasshopper optimization algorithm (GOA)en_US
dc.subjectInternet of things (IoT)en_US
dc.subjectLocalizationen_US
dc.titleA new localization mechanism in IoT using grasshopper optimization algorithm and DVHOP algorithm
dc.typeArticle

Dosyalar

Lisans paketi
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu