A Novel Approach for RPL Assessment Based on the Objective Function and Trickle Optimizations

The ROLL working group proposed the RPL (IPv6 routing protocol for low-power and lossy networks) to respond to the requirements of low-power and lossy networks (LLNs). In this paper, we propose a new approach to assess the RPL performances based on its main components, namely, the objective function...

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Main Authors: Hanane Lamaazi, Nabil Benamar
Format: Article
Language:English
Published: Hindawi-Wiley 2019-01-01
Series:Wireless Communications and Mobile Computing
Online Access:http://dx.doi.org/10.1155/2019/4605095
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spelling doaj-7a5e745eafb94c04af85e6e4bedd61352020-11-25T01:33:48ZengHindawi-WileyWireless Communications and Mobile Computing1530-86691530-86772019-01-01201910.1155/2019/46050954605095A Novel Approach for RPL Assessment Based on the Objective Function and Trickle OptimizationsHanane Lamaazi0Nabil Benamar1Faculty of Sciences, University of Moulay Ismail, Meknes, MoroccoSchool of Technology, University of Moulay Ismail, Meknes, MoroccoThe ROLL working group proposed the RPL (IPv6 routing protocol for low-power and lossy networks) to respond to the requirements of low-power and lossy networks (LLNs). In this paper, we propose a new approach to assess the RPL performances based on its main components, namely, the objective function (OF) and the trickle algorithm. To this end, we compare between the RPL-EC (RPL based combined ETX and energy consumption) and the RPL-FL (RPL based on the flexible trickle algorithm). This paper compares the two implementations to assess the weight of each proposed improvement against the standard RPL. The results show that RPL performances are greatly influenced by the change of both the objective function and trickle algorithm. RPL-FL provides best values in terms of overhead, packet delivery ratio (PDR), and energy consumption, while RPL-EC acts better with the convergence time and the network lifetime compared to the standard RPL.http://dx.doi.org/10.1155/2019/4605095
collection DOAJ
language English
format Article
sources DOAJ
author Hanane Lamaazi
Nabil Benamar
spellingShingle Hanane Lamaazi
Nabil Benamar
A Novel Approach for RPL Assessment Based on the Objective Function and Trickle Optimizations
Wireless Communications and Mobile Computing
author_facet Hanane Lamaazi
Nabil Benamar
author_sort Hanane Lamaazi
title A Novel Approach for RPL Assessment Based on the Objective Function and Trickle Optimizations
title_short A Novel Approach for RPL Assessment Based on the Objective Function and Trickle Optimizations
title_full A Novel Approach for RPL Assessment Based on the Objective Function and Trickle Optimizations
title_fullStr A Novel Approach for RPL Assessment Based on the Objective Function and Trickle Optimizations
title_full_unstemmed A Novel Approach for RPL Assessment Based on the Objective Function and Trickle Optimizations
title_sort novel approach for rpl assessment based on the objective function and trickle optimizations
publisher Hindawi-Wiley
series Wireless Communications and Mobile Computing
issn 1530-8669
1530-8677
publishDate 2019-01-01
description The ROLL working group proposed the RPL (IPv6 routing protocol for low-power and lossy networks) to respond to the requirements of low-power and lossy networks (LLNs). In this paper, we propose a new approach to assess the RPL performances based on its main components, namely, the objective function (OF) and the trickle algorithm. To this end, we compare between the RPL-EC (RPL based combined ETX and energy consumption) and the RPL-FL (RPL based on the flexible trickle algorithm). This paper compares the two implementations to assess the weight of each proposed improvement against the standard RPL. The results show that RPL performances are greatly influenced by the change of both the objective function and trickle algorithm. RPL-FL provides best values in terms of overhead, packet delivery ratio (PDR), and energy consumption, while RPL-EC acts better with the convergence time and the network lifetime compared to the standard RPL.
url http://dx.doi.org/10.1155/2019/4605095
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