A Survey on Controller Placement Algorithms for IoT Networks in Smart City Environments
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0199636" target="_blank" >RIV/00216305:26220/26:0199636 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/11050873" target="_blank" >https://ieeexplore.ieee.org/document/11050873</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/AIEEE66149.2025.11050873" target="_blank" >10.1109/AIEEE66149.2025.11050873</a>
Alternative languages
Result language
angličtina
Original language name
A Survey on Controller Placement Algorithms for IoT Networks in Smart City Environments
Original language description
The Internet of Things (IoT) is transforming cities into smart cities by improving efficiency, safety, and sustainability through real-time data collection, analysis and decision making. A main challenge in IoT network is the Controller Placement Problem (CPP), which is essential for minimize latency, balance load, ensure reliability, and optimize energy consumption. This paper reviews 10 algorithms and approaches that have been proposed to solve CPP. To solve the CPP, algorithms minimize latency, improve fault tolerance, balance load, enhance energy efficiency, and ensure scalability. Various algorithms have been proposed to tackle these challenges, each algorithm has unique advantages. Among these algorithms the Hybrid Differential Evolution and Whale Optimization (DEWO) algorithm minimizes latency, improves fault tolerance and balance load. It achieved up to 20.25% performance improvement as compared to PSO in Deutsche topology. For energy efficiency, the Fitness Averaged-Rider Optimization Algorithm (FA-ROA) improves cluster head selection in WSN-IoT networks. It achieved up to 50% better energy efficiency as compared to other algorithms. Other approaches such as GWOAP, Louvain Algorithm with Betweenness-Centrality, CPCSA and Tabu Search Algorithm have also been analyzed for CPP. This review paper provides a detailed analysis of these approaches and algorithms in addressing the complexities of controller placement in IoT networks. By exploring these algorithms this review paper aim to contribute to the development of more efficient, reliable, and scalable smart city infrastructure.
Czech name
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Czech description
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Classification
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)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IEEE Workshop on Advances in Information Electronic and Electrical Engineering
ISBN
978-1-6654-6562-5
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1-6
Publisher name
IEEE
Place of publication
NEW YORK
Event location
Vilnius, Lithuania
Event date
May 15, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001548087800030