Cognitive-Radio-Based Resource Management for Smart Transportation: A Sliding Mode Control Approach

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F23%3A43907467" target="_blank" >RIV/60076658:12310/23:43907467 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10131986" target="_blank" >https://ieeexplore.ieee.org/document/10131986</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/JIOT.2023.3279103" target="_blank" >10.1109/JIOT.2023.3279103</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Cognitive-Radio-Based Resource Management for Smart Transportation: A Sliding Mode Control Approach

Popis výsledku v původním jazyce

Smart transportation is one of the key components of the smart city. A significant amount of data is produced by the numerous vehicles connected via wireless networks. This demands smart spectrum management for efficient data communication. The optimal bandwidth usage can be obtained by opportunistically sharing the spectrum among high-priority class primary and low-priority class secondary users&apos; vehicles. In this study, we develop a mathematical model to ensure effective resource allocation in cognitive-radio-based smart transportation networks (CR-STNs) considering the mobility, bandwidth constraint, and interference models. Robust sliding mode control is synthesized using an exponential reaching law to avoid data packet congestion in CR-STN to ensure smart spectrum management. In addition, a dynamic event-triggered mechanism is incorporated with the sliding mode controller to reduce computational complexity and energy expenses. The effectiveness of the suggested controller has been validated by simulation results.

Název v anglickém jazyce

Cognitive-Radio-Based Resource Management for Smart Transportation: A Sliding Mode Control Approach

Popis výsledku anglicky

Smart transportation is one of the key components of the smart city. A significant amount of data is produced by the numerous vehicles connected via wireless networks. This demands smart spectrum management for efficient data communication. The optimal bandwidth usage can be obtained by opportunistically sharing the spectrum among high-priority class primary and low-priority class secondary users&apos; vehicles. In this study, we develop a mathematical model to ensure effective resource allocation in cognitive-radio-based smart transportation networks (CR-STNs) considering the mobility, bandwidth constraint, and interference models. Robust sliding mode control is synthesized using an exponential reaching law to avoid data packet congestion in CR-STN to ensure smart spectrum management. In addition, a dynamic event-triggered mechanism is incorporated with the sliding mode controller to reduce computational complexity and energy expenses. The effectiveness of the suggested controller has been validated by simulation results.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

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

Projekt

<a href="/cs/project/LM2023055" target="_blank" >LM2023055: Česká národní infrastruktura pro biologická data</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

IEEE INTERNET OF THINGS JOURNAL

ISSN

2327-4662

e-ISSN

2327-4662

Svazek periodika

10

Číslo periodika v rámci svazku

21

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

11

Strana od-do

18622-18632

Kód UT WoS článku

001098109800019

EID výsledku v databázi Scopus

2-s2.0-85161037366