Quantitative Analysis and Evaluation of RPL with Various Objective Functions for 6LoWPAN

Sharma, Rahul; Thyagarajan, Jayavignesh

doi:10.17485/ijst/2015/v8i19/76696

Cited by 14 publications

(3 citation statements)

References 8 publications

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“…Their comparable results had shown an effective increase in network lifetime. However, the other standard and default OF of RPL: Minimum Rank with Hysteresis Objective Function (MRHOF), is considered better than Objective Function Zero (OF0) [20][21], which was not considered in their study. The other authors in [22] had also proposed Scalable CAOF (SCAOF), and their results had shown improvement in network lifetime and energy efficiency.…”

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

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show abstract

“…The DAG is constructed based on path costs, which are based on the combination of node and link metrics and resource constraints. The node metrics thus far utilized in the literature are the residual energy and hop count, whereas the link-based metrics utilized include the delay, ETX, link quality level (LQL) and throughput (Lamaazi, Benamar, & Jara, 2016;Sharma & Jayavignesh, 2015).…”

Section: Background Of Rplmentioning

confidence: 99%

An expert system for low‐power and lossy indoor sensor networks

et al. 2020

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We have developed an expert system comprising a self-aware framework for resource-efficient and accurate data transmission within a low-power lossy sensor network (LLN) deployed for indoor monitoring. We derived both individual and group awareness, which could ensure the awareness of each sensor regarding its resources, neighbours and network environment. The proposed expert system facilitates decision-making under dynamic environmental conditions and employs a multicriteria decision-making (MCDM) model to determine the selection of the best path towards the sink node with awareness of the existing network environment. The proposed system is validated by constructing a 6LoWPAN network in the Contiki Cooja simulator. MCDM is applied to generate an adaptive objective function for the IPv6 routing protocol for the LLN (RPL) and to aid in ranking the nodes to select the best available neighbouring node, while the data accuracy is ensured by the cluster head through data correlation among its associated members. The network performance is assessed by analyzing the packet delivery rate, throughput and energy consumption against varying sensors and by comparing our proposed MCDM-RPL with a standard RPL and a fuzzy-based RPL, where the results show that our framework is found to be better with gains of 13, 25 and 13%, respectively.

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Study of the Impact of Designed Objective Function on the RPL-Based Routing Protocol

Lamaazi

Benamar

Jara

2016

Lecture Notes in Electrical Engineering

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Quantitative Analysis and Evaluation of RPL with Various Objective Functions for 6LoWPAN

Cited by 14 publications

References 8 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

An expert system for low‐power and lossy indoor sensor networks

Study of the Impact of Designed Objective Function on the RPL-Based Routing Protocol

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