A Classification of Cross-Layer Optimization Approaches in LoRaWAN for Internet of Things

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

A Classification of Cross-Layer Optimization Approaches in LoRaWAN for Internet of Things

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)

ISBN

979-8-3503-3538-5

ISSN

2165-8536

e-ISSN

2165-8536

Number of pages

6

Pages from-to

259-264

Publisher name

IEEE Industrial Electronic Society

Place of publication

???

Event location

Paris

Event date

Jul 4, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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