A Review of Resource Allocation and Management Methods in IoT

Karakaya, Aykut; Akleylek, Sedat

doi:10.1007/978-3-030-76653-5_22

Cited by 2 publications

(2 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The main problem addressed in this research is the optimization of energy consumption, data transmission rates, and network lifetime in ad hoc networks of quantum-enabled IoT devices [6].…”

Section: Problem Statement and Research Objectivesmentioning

confidence: 99%

Improved Quantum-inspired Hybrid Particle Swarm Optimization Based Resource Allocation for Quantum- Enabled IoT Devices in Ad Hoc Networks

2024

Preprint

View full text Add to dashboard Cite

Ad hoc networks of quantum-enabled IoT devices require efficient resource allocation techniques to optimize energy consumption and data transmission rates. This paper proposes an enhanced version of quantum-inspired hybrid particle swarm optimization called the Improved quantum-inspired hybrid particle swarm optimization (IQHPSO) algorithm for resource allocation in ad hoc networks of quantum-enabled IoT devices. The enhanced QHPSO algorithm incorporates a novel innovation technique based on adaptive parameter tuning and a global best selection strategy that further improves the optimization performance of the QHPSO approach. We evaluate the proposed approach through simulations and compare its performance with the original QHPSO algorithm and other state-of-the-art optimization techniques regarding objective functions such as energy consumption, data transmission rate, and network lifetime. Our results show that the IQHPSO algorithm outperforms the original QHPSO algorithm by 10-15% in energy consumption, 5-10% in data transmission rate, and 3-7% in network lifetime. Furthermore, our results demonstrate that the IQHPSO algorithm outperforms other state-of-the-art optimization techniques regarding these objective functions. We also discuss the practical implementation of the IQHPSO algorithm in a real-world ad hoc network of quantum-enabled IoT devices. This research contributes to the ongoing development of quantum-inspired optimization techniques for wireless networking applications. Furthermore, it demonstrates the benefits of incorporating innovative approaches, such as adaptive parameter tuning and global best selection strategy, to improve the performance of existing optimization algorithms.

show abstract

“…The main problem addressed in this research is the optimization of energy consumption, data transmission rates, and network lifetime in ad hoc networks of quantum-enabled IoT devices [6].…”

Section: Problem Statement and Research Objectivesmentioning

confidence: 99%

Improved Quantum-inspired Hybrid Particle Swarm Optimization Based Resource Allocation for Quantum- Enabled IoT Devices in Ad Hoc Networks

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…This study examines the post‐quantum security threats to edge devices and systems and the secure methods developed in response to these threats. Within this scope, methods, tools, and models used for the security of quantum‐resistant edge systems are explained and compared (Karakaya & Akleylek, 2022). Challenges, issues, and future trends in this field are examined, and directions for future research are provided.…”

Section: Introductionmentioning

confidence: 99%

A survey on post‐quantum based approaches for edge computing security

Karakaya,

Ulu

2024

WIREs Computational Stats

View full text Add to dashboard Cite

With the development of technology and its integration with scientific realities, computer systems continue to evolve as infrastructure. One of the most important obstacles in front of quantum computers with high‐speed processing is that its existing systems cause security vulnerabilities. Therefore, in order to take advantage of quantum systems, existing systems that are already secure must also be secure in the post‐quantum scenario. One of these systems is edge computing. There are challenges in terms of computational power for the implementation of pre‐ and post‐quantum methods in structures with resource‐constrained devices. This article reviews the post‐quantum security threats of edge devices and systems and the secure methods developed for them. Although there is relatively little research in this field, it remains relevant. In the studies reviewed, lattice‐based approaches are often highlighted for making edge systems quantum‐resistant. Additionally, these studies indicate that there has been an increasing trend in this field in recent years.This article is categorized under: Applications of Computational Statistics > Defense and National Security Algorithms and Computational Methods > Networks and Security

show abstract

A Review of Resource Allocation and Management Methods in IoT

Cited by 2 publications

References 42 publications

Improved Quantum-inspired Hybrid Particle Swarm Optimization Based Resource Allocation for Quantum- Enabled IoT Devices in Ad Hoc Networks

Improved Quantum-inspired Hybrid Particle Swarm Optimization Based Resource Allocation for Quantum- Enabled IoT Devices in Ad Hoc Networks

A survey on post‐quantum based approaches for edge computing security

Contact Info

Product

Resources

About