Pushing IoT Mobility Management to the Edge: Granting RPL Accurate Localization and Routing

Rabet, Iliar; Selvaraju, Shunmuga Priyan; Adeli, Mohammad Hassan; Fotouhi, Hossein; Balador, Ali; Vahabi, Maryam; Alves, Mário; Björkman, Mats

doi:10.1109/wf-iot51360.2021.9595872

Cited by 6 publications

(3 citation statements)

References 18 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%

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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

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“…They mention that the reliability between the static and mobile nodes is increased even in the presence of high positioning errors in comparison with previous routing approaches. In [13] the authors try to improve RPL's mobile performance using a Software Defined Network (SDN) technique where a central controller has a holistic view of the network, can predict the handovers, and update the routing tables. The proposed approach can achieve higher reliability compared with the baseline RPL but also with the current state of the art.…”

Section: Related Workmentioning

confidence: 99%

Mobility-Focused Joining in TSCH Networks

Nielsen

Schnugger

Orfanidis

et al. 2022

2022 IEEE 47th Conference on Local Computer Networks (LCN)

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TSCH is a MAC protocol able to provide reliable wireless communication to IoT networks. For applications where mobility is necessary research has shown that TSCH presents a suboptimal performance. One of the main issues is that the time required for a device to join a TSCH network is unpredictable and theoretically has no upper limit. The joining process to a TSCH network can take several minutes in some cases which can ensue significant delay and power overheads. In this paper we examine how TSCH can be adapted to support mobile applications, by improving the joining and re-joining procedure. Relevant information about the network topology is aggregated throughout the network to be utilized during the joining process. The results show that the joining time can be reduced by 50% and the re-joining time by 90%.

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