A Classification of Cross-Layer Optimization Approaches in LoRaWAN for Internet of Things
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00371160" target="_blank" >RIV/68407700:21230/23:00371160 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1109/ICUFN57995.2023.10199434" target="_blank" >https://doi.org/10.1109/ICUFN57995.2023.10199434</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICUFN57995.2023.10199434" target="_blank" >10.1109/ICUFN57995.2023.10199434</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A Classification of Cross-Layer Optimization Approaches in LoRaWAN for Internet of Things
Popis výsledku v původním jazyce
The Internet of Things (IoT) uses Low-Power Wide Area Networks (LPWAN) for applications that require long-range, energy-efficient, and low-cost end devices. LoRaWAN is one of the most popular LPWAN technologies because of its key features and openness making it highly suitable for IoT. Despite its exceptional features, some challenges faced by this technology are optimizing the protocol used for scheduling, low data rate, and duty cycle restrictions. One possible way to address these challenges is by using cross-layer optimization. This optimization technique violates the restrictions of the traditional OSI protocol stack giving freedom to its protocol layers. However, there is currently no summary of cross-layer methods implemented in LoRaWAN. This paper presents a classification of state-of-the-art cross-layer approaches that were used in optimizing the LoRaWAN technology in IoT. The cross-layer techniques were classified based on the merging of adjacent layers, direct communication between layers, and completely new abstractions. In addition, this paper identified the issues and challenges featured in these state-of-the-art cross-layer approaches. Finally, this paper serves as an overview of the performance of cross-layer optimization in LoRaWAN technology for IoT applications.
Název v anglickém jazyce
A Classification of Cross-Layer Optimization Approaches in LoRaWAN for Internet of Things
Popis výsledku anglicky
The Internet of Things (IoT) uses Low-Power Wide Area Networks (LPWAN) for applications that require long-range, energy-efficient, and low-cost end devices. LoRaWAN is one of the most popular LPWAN technologies because of its key features and openness making it highly suitable for IoT. Despite its exceptional features, some challenges faced by this technology are optimizing the protocol used for scheduling, low data rate, and duty cycle restrictions. One possible way to address these challenges is by using cross-layer optimization. This optimization technique violates the restrictions of the traditional OSI protocol stack giving freedom to its protocol layers. However, there is currently no summary of cross-layer methods implemented in LoRaWAN. This paper presents a classification of state-of-the-art cross-layer approaches that were used in optimizing the LoRaWAN technology in IoT. The cross-layer techniques were classified based on the merging of adjacent layers, direct communication between layers, and completely new abstractions. In addition, this paper identified the issues and challenges featured in these state-of-the-art cross-layer approaches. Finally, this paper serves as an overview of the performance of cross-layer optimization in LoRaWAN technology for IoT applications.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)
ISBN
979-8-3503-3538-5
ISSN
2165-8536
e-ISSN
2165-8536
Počet stran výsledku
6
Strana od-do
259-264
Název nakladatele
IEEE Industrial Electronic Society
Místo vydání
???
Místo konání akce
Paris
Datum konání akce
4. 7. 2023
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—