A decentralized dynamic relaying-based framework for enhancing lora networks performance

Basit Öğe Kaydı
dc.authorid0000-0002-7911-0194
dc.authorid0000-0001-9857-2063
dc.authorid0000-0001-9474-7372
dc.contributor.authorHaif, Hamza
dc.contributor.authorArous, Abdelali
dc.contributor.authorArslan, Hüseyin
dc.date.accessioned2024-07-02T11:12:43Z
dc.date.available2024-07-02T11:12:43Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü
dc.description.abstractLong-Range (LoRa) technology holds tremendous potential for regulating and coordinating communication among Internet of Things (IoT) devices due to its low-power consumption and cost-effectiveness. However, LoRa faces significant obstacles, such as reduction in coverage area, a high packet drop ratio (PDR), and an increased likelihood of collisions, all of which result in substandard data rates. In this article, we present a novel approach that employs a relaying node capable of allocating resources dynamically based on signal parameters. In particular, the geometric placement of the relay node is determined by a genetic algorithm that maximizes signal-to-noise ratio (SNR) and signal-to-interference ratio (SIR) success probabilities. Using equal-area-based (EAB) spreading factor (SF) distance allocation scheme, the coverage area is sliced into distinct regions in order to derive the success probabilities for different communication stages. Furthermore, we present a frequency channel shuffling algorithm to prevent collisions between end devices (EDs) without increasing the complexity of the relaying nodes. Through extensive simulations, we demonstrate that our proposed scheme effectively expands the coverage area, conserves transmission resources, and enhances the system's throughput. Specifically, our approach extends the range by up to 40%, increases the throughput by up to 50% compared to conventional methods, and achieves a 40% increase in success probability. To validate the practicality of our approach, we implement our algorithm in an active LoRa network utilizing an ESP32 LoRa SX1276 module, showcasing its compatibility in real-world scenarios.
dc.identifier.citationHaif, H., Arous, A. ve Arslan, H. (2024). A decentralized dynamic relaying-based framework for enhancing lora networks performance. IEEE Internet of Things Journal, 11(12), 22183-22196. http://dx.doi.org/10.1109/JIOT.2024.3379568
dc.identifier.doi10.1109/JIOT.2024.3379568
dc.identifier.endpage22196
dc.identifier.issn2327-4662
dc.identifier.issue12
dc.identifier.scopus2-s2.0-85188420445
dc.identifier.scopusqualityQ1
dc.identifier.startpage22183
dc.identifier.urihttp://dx.doi.org/10.1109/JIOT.2024.3379568
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12689
dc.identifier.volume11
dc.identifier.wos001242362600103en_US
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorHaif, Hamza
dc.institutionauthorArous, Abdelali
dc.institutionauthorArslan, Hüseyin
dc.language.isoen
dc.relation.ispartofIEEE Internet of Things Journalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectGenetic Algorithm (GA)
dc.subjectLong-Range (Lora)
dc.subjectLorawan
dc.subjectRelays
dc.subjectScalability
dc.subjectSpreading Factor (SF)
dc.subjectTime On Air (Toa)
dc.titleA decentralized dynamic relaying-based framework for enhancing lora networks performance
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
Haif-Hamza-2024.pdf
Boyut:
2.53 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Makale Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu