An innovative RPL objective function for broad range of IoT domains utilizing fuzzy logic and multiple metrics

Darabkh, Khalid A.; Al-Akhras, Muna; Khalifeh, Ala’; Jafar, Iyad F.; Jubair, Fahed

doi:10.1016/j.eswa.2022.117593

Cited by 17 publications

(3 citation statements)

References 30 publications

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“…In these methods, multi-metric evaluation is performed focusing on the probability of successful receptions, distance to the destination, remaining energy, and traffic rate. In researches, 32,33 OF was improved by considering the quality of links and introduced new OFs as link quality-based objective function (LQBOF) and fuzzy logic objective function (FL-HELR-OF), respectively.…”

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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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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“…Improving the routing process is one essential step in this regard. The routing protocol, the RPL, solves major concerns but has certain gaps which need addressing (Darabkh et al 2022). The standard RPL version makes a routing decision by considering a single metric, such as hop count.…”

Section: Introductionmentioning

confidence: 99%

Transitioning to Sustainable Industry, Innovation and Infrastructure

2023

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in Rzeszow (building engineering), the University of Rzeszow in Rzeszow (sociology), and doctoral studies at University of Physical Education in Warsaw (physical culture sciences). Since 2005, he has worked as a Professor at the University of Rzeszow and was appointed Head of Chair of the Socio-Cultural Foundation for Physical Education and Sports. He has published over 800 scientific works, including 20 books (monographs and manuals). His major scientific interests concern sociology (of culture, tourism and sport), coaching and pedagogy, and martial arts.

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“…RPL was introduced in 2012 by the IETF ROLL working group to tackle these LLN issues [8]. RPL to date is used for IoT networks [9] but recent state-of-art [10] has shown its implementation for IoV networks too. RPL within IoV requires development to ad-dress heterogeneity, power Quality of Service (QoS) and versatility.…”

Section: Introductionmentioning

confidence: 99%

Optimal Feature Selection to Improve Vehicular Network Lifetime

Garg

Mehrotra

Pandey

et al. 2023

Lecture Notes in Networks and Systems

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The advancement of the Internet of Things (IoT) leads to the ascent of the need to develop a protocol for Low power and Lossy Networks (LLNs). The IETF ROLL working group then proposed an IPv6 routing protocol called RPL in 2012. RPL is in demand because of its adaptability to geography changes and its ability to recognize and dodge loops. Although RPL in the recent past was only used for IoT networks. But, contemporary studies show that its applicability can be extended to vehicular networks also. Thus, the domain of the Internet of Vehicles (IoV) for RPL is of significant interest among researchers. Since the network becomes dynamic when RPL is deployed for vehicular networks, the heterogeneous network suffers from extreme packet loss, high latency and repeated transmissions. This lessens the lifetime of the organization. The thought behind this article is to simulate such a dynamic environment using RPL and identify the principal features affecting the network lifetime. The network setup is simulated using the Cooja simulator, a dataset is created with multiple network parameters and consequently, the features are selected using the Machine Learning (ML) technique. It is inferred from the experiment that increasing PDR and reducing EC will improve the overall network lifetime of the network.

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An innovative RPL objective function for broad range of IoT domains utilizing fuzzy logic and multiple metrics

Cited by 17 publications

References 30 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

Transitioning to Sustainable Industry, Innovation and Infrastructure

Optimal Feature Selection to Improve Vehicular Network Lifetime

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