Quality of Service Support in RPL Networks: Standing State and Future Prospects

Alsukayti, Ibrahim S.

doi:10.1007/s11390-022-1027-y

Cited by 4 publications

(3 citation statements)

References 92 publications

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“…The focus of these functions is respectively on optimizing the length of intermediate routes and preventing routing due to low‐quality connections. But the use of these functions causes many challenges in the field of routing, especially for reliability requirements 21 . Therefore, the design of a suitable OF is still an open topic related to the RPL protocol.…”

Section: Review Of Research Backgroundmentioning

confidence: 99%

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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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Section: Review Of Research Backgroundmentioning

confidence: 99%

“…But the use of these functions causes many challenges in the field of routing, especially for reliability requirements. 21 Therefore, the design of a suitable OF is still an open topic related to the RPL protocol.…”

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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“…This trend will inevitably lead to an increase in the complexity of user requirements, service types, and path transmission, thus posing challenges to the service performance of the existing routing algorithms in the IPv6 network. As a result, service quality, reliability, and satisfaction are gradually regarded as important indicators to measure IPv6 network service standard [6].…”

Section: Introductionmentioning

confidence: 99%

An efficient and reliable service customized routing mechanism based on deep learning in IPv6 network

Wang

et al. 2022

IET Communications

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Best-effort service model of traditional routing is gradually hard to meet the personalized demands under the rapid development of network technologies (e.g. 5G and IPv6). Therefore, service customization should be considered. In this work, a service customized routing mechanism based on deep learning in IPv6 network is proposed, which includes deep learning-based service customization module, reliability evaluation module, and routing calculation module. The first module uses neural network to learn the complex service customization function, which can quickly output win-win customized service strategies based on user demands. The second module can quantify the reliability of service routing paths, where not only the link status of IPv6 Neighbor Unreachable Detection (NUD) is considered, but also propose link performance weights to ensure the reliability of differentiated service performance. The third module uses the gray wolf optimization algorithm to calculate an optimal routing path to forward services with the customized strategies as the constraints and the maximum reliability and minimum cost as the goal. Finally, the mechanism is tested on the IPv6 Source Address Validation Improvement (SAVI) platform, which can reduce the execution time by 12.25% and improve the average routing reliability, user and ISP satisfaction by 9.0%, 40.45% and 7.4%, respectively.

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An In-Depth Analysis of Application Protocols Performances in Various IoT Network Environments

Belkheir,

Rouissat,

Boukhobza

et al. 2024

2024 8th International Conference on Image and Signal Processing and Their Applications (ISPA)

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Quality of Service Support in RPL Networks: Standing State and Future Prospects

Cited by 4 publications

References 92 publications

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

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

An efficient and reliable service customized routing mechanism based on deep learning in IPv6 network

An In-Depth Analysis of Application Protocols Performances in Various IoT Network Environments

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