Improvement of RPL Routing Strategy Based on 6LoWPAN

Wang, Hui; Zhou, Fan; He, Xiangfu; Li, Peiyu; Zhang, Chaowu

doi:10.1007/978-981-15-4917-5_2

Cited by 3 publications

(3 citation statements)

References 17 publications

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“…Further studies like papers [35][36][37] had proposed OF considering the dynamic nodes for the evaluation. Other researches [38][39][40][41] reflected mobility in RPL but were restricted to IoT networks only. Authors in [42] proposed a mobility-aware routing metric called REFER, which focused on efficient energy consumption and reliability of the network.…”

Section: Literature Studymentioning

confidence: 99%

“…Interestingly, it is worth noting that studies from [19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34] had thrived for static nodes in RPL, whereas studies from [35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51] had labored for mobile nodes in RPL but IoT networks. It tends to be gathered that a proactive exploration is needed in the field of RPL considering mobility.…”

Section: Literature Studymentioning

confidence: 99%

See 1 more Smart Citation

Static to dynamic transition of RPL protocol from IoT to IoV in static and mobile environments

Garg

Mehrotra²,

Pandey³

et al. 2022

Cluster Comput

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The Routing Protocol for Low power and Lossy networks (RPL) utilises the Objective Function (OF) to form a Destination Oriented Directed Acyclic Graph (DODAG) to reach the destination by selecting the best path. Many works in literature have explored this domain concerning the Internet of Things (IoT) applications. Although, the application of RPL protocol from IoT to the Internet of Vehicles (IoV) in the smart city still presents a big test. Since this gap has not been much traversed, it motivated us to present our findings on this research gap. This paper has realised the transition of RPL protocol from IoT to IoV for the first time. The network performance has been analysed using RPL in a static and mobile environment based on three configurations: Quality of Service (QoS) parameters, network scalability and mobility models. Also, a comprehensive analysis of the RPL performance in both environments has been bestowed in our paper. Finally, we have summarised our inputs and stated potential future directions for researchers. The experiments have been performed using Contiki OS/ Cooja simulator, BonnMotion tool and Wireshark.

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Section: Literature Studymentioning

confidence: 99%

Section: Literature Studymentioning

confidence: 99%

Static to dynamic transition of RPL protocol from IoT to IoV in static and mobile environments

Garg

Mehrotra²,

Pandey³

et al. 2022

Cluster Comput

View full text Add to dashboard Cite

show abstract

“…In researches, [34][35][36] methods were introduced as MIQRP (Multiple Instances QoS Routing in RPL), RR-RPL (Rank_Remain Energy RPL), and MHOF (enhance-minimum rank with hysteresis OF). Each of these methods introduced a new OF in order to improve the reliability of exchanges, which are often evaluated by focusing on ETX, energy, and delay criteria.…”

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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RI-RPL: a new high-quality RPL-based routing protocol using Q-learning algorithm

Zahedy,

Barekatain,

Quintana

2023

J Supercomput

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Improvement of RPL Routing Strategy Based on 6LoWPAN

Cited by 3 publications

References 17 publications

Static to dynamic transition of RPL protocol from IoT to IoV in static and mobile environments

Static to dynamic transition of RPL protocol from IoT to IoV in static and mobile environments

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

RI-RPL: a new high-quality RPL-based routing protocol using Q-learning algorithm

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