DDSLA-RPL: Dynamic Decision System Based on Learning Automata in the RPL Protocol for Achieving QoS

Homaei, Mohammad Hossein; Band, Shahab S.; Pescapè, Antonio; Mosavi, Amir

doi:10.1109/access.2021.3075378

Cited by 10 publications

(8 citation statements)

References 47 publications

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“…DDSLA-RPL [17] uses learning automata to adjust parameter weights and improve network service quality and node lifespan. DDSLA-RP is more precise and adaptable, but it still needs improvement in various situations.…”

Section: Related Workmentioning

confidence: 99%

Learning Automata-Based AODV to Improve V2V Communication in A Dynamic Traffic Simulation

2024

IJIES

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The study introduces the learning automata-based AODV (LA-AODV) protocol to enhance vehicle-tovehicle (V2V) communication in dynamic vehicular Ad-hoc networks (VANETs). Existing routing protocols, such as Ad-hoc on-demand distance vector (AODV) protocols, face significant challenges, including low data transfer rates, higher delay times, lower throughput, and data congestion resulting from rapidly changing network topologies. LA-AODV addresses these issues by optimizing the quality of service (QoS) through the real-time selection of relay nodes based on vehicle speed, distance, and actual position parameters. Simulations were conducted at the Gadjah Mada university (UGM) roundabout in Yogyakarta, Indonesia, using SUMO and NS3 simulators. LA-AODV outperforms AODV with Packet Delivery Ratios ranging from 95% to 99% and Average Throughputs between 36.90 Kbps and 56.50 Kbps. Although LA-AODV exhibits slightly higher End-to-End Delays, it effectively mitigates Packet Loss Ratios ranging from 1% to 4%. These enhancements optimize routing decisions, reduce communication overhead, and enhance network resource utilization.

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Section: Related Workmentioning

confidence: 99%

Learning Automata-Based AODV to Improve V2V Communication in A Dynamic Traffic Simulation

2024

IJIES

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“…As wireless connectivity becomes increasingly popular, IoT providers seek the most cost-effective solutions from the outset for their 5G/6G networks [121]. Therefore, security must be addressed to combat security threats, including protecting users, network equipment, and data from malicious attacks, unauthorised access, and leakage.…”

Section: Ml/dl In Dt Cybersecuritymentioning

confidence: 99%

A Review of Digital Twins and Their Application in Cybersecurity Based on Artificial Intelligence

Homaei,

Mogollón Gutiérrez,

Sancho Núñez

et al. 2023

Preprint

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The potential of digital twin technology is yet to be fully realised due to its diversity and untapped potential. Digital twins enable systems’ analysis, design, optimisation, and evolution to be performed digitally or in conjunction with a cyber-physical approach to improve speed, accuracy, and efficiency over traditional engineering methods. Industry 4.0, factories of the future, and digital twins continue to benefit from the technology and provide enhanced efficiency within existing systems. Due to the lack of information and security standards associated with the transition to cyber digitisation, cybercriminals have been able to take advantage of the situation. Access to a digital twin of a product or service is equivalent to threatening the entire collection. There is a robust interaction between digital twins and artificial intelligence tools, which leads to strong interaction between these technologies, so it can be used to improve the cybersecurity of these digital platforms based on their integration with these technologies. This study aims to investigate the role of artificial intelligence in providing cybersecurity for digital twin versions of various industries, as well as the risks associated with these versions. In addition, this research serves as a road map for researchers and others interested in cybersecurity and digital security.

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“…In this research, it has been shown that OF changes have significant effects on RPL performance. References [22][23][24][25] focused on the problem of single-metric of OF in the RPL protocol, and based on this, they improved routing and data exchange capabilities. In these researches, the RPL OF based on multi-metric evaluation is calculated and optimized in order to select more reliable parents for exchanges.…”

Section: Related Workmentioning

confidence: 99%

RAARPL: End‐to‐end Reliability‐Aware Adaptive RPL routing protocol for Internet of things

Shahbakhsh

Ghafouri

Bardsiri

2023

Int J Communication

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The RPL protocol has been accepted by the Internet Engineering Task Force as the only routing standard for the Internet of things (IoT). Although RPL has been significantly used in IoT routing, it still has extensive challenges. One of the most basic challenges is related to the reliability of routing. The severe limitations of resources, wireless communication, and variable topology, along with other limitations of IoT, have caused reliability in these networks to be a challenging topic. However, in RPL, no measures are provided to support the reliability of routing. To improve this issue, in this article, RPL was improved based on reliability requirements, and a new protocol was proposed called the Reliability-Aware Adaptive RPL routing protocol (RAARPL). RAARPL selects the parents based on the evaluation of various criteria related to reliability and forms the network topology. In addition, the conditions of the paths were also considered in the decision-making so that the reliability depends on the paths and parents. In order to maintain stability, RAARPL had controlled the parent selection and children assignment in a way that will prevent errors as much as possible. The simulation results by Cooja and compared with CLRPL and RPL

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DDSLA-RPL: Dynamic Decision System Based on Learning Automata in the RPL Protocol for Achieving QoS

Cited by 10 publications

References 47 publications

Learning Automata-Based AODV to Improve V2V Communication in A Dynamic Traffic Simulation

Learning Automata-Based AODV to Improve V2V Communication in A Dynamic Traffic Simulation

A Review of Digital Twins and Their Application in Cybersecurity Based on Artificial Intelligence

RAARPL: End‐to‐end Reliability‐Aware Adaptive RPL routing protocol for Internet of things

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