Title: RPL-OFs analysis and dynamic of selection for QoS optimisation of RPL protocol

Authors: Sharwari S. Solapure; Harish H. Kenchannavar; Umakant P. Kulkarni

Addresses: Department of Computer Science and Engineering (CSE), KLS Gogate Institute of Technology, Belagavi, Karnataka, India ' Department of Information Science and Engineering (ISE), KLS Gogate Institute of Technology, Belagavi, Karnataka, India ' Department of Computer Science and Engineering (CSE), SDM college of Engineering and Technology, Dharwad, Karnataka, India

Abstract: Quality-of-Service (QoS) requirements differ for various IoT applications such as for smart health, reliability is the need, for industry, delay is essential, etc. The Routing-Protocol-for-Low-Power-Lossy-Network (RPL) with Objective Function (OF) is used for routing in IoT-applications. Default RPL-OF is deficient to fulfil the QoS requirements of different IoT applications. Hence, several OF designs were proposed as per the QoS need in the earlier research. The work presented in this paper is the extension of previous research work. The analysis of these OF designs is carried out with the parameters such as number of nodes, simulation-time, data-rate, Media Access Control (MAC) protocols, communications ranges and different topologies. This analysis resulted in a data-set which addresses most of the QoS-requirements and is used to optimise the RPL protocol QoS performance. Decision tree algorithm is used to predict a suitable RPL-OF design. The accuracy achieved using Gini and Entropy method of decision tree is 87.14%, 88.57%, respectively. Thus, the contribution of this research is to prepare the data-set using comprehensive analysis and use the same for predicting suitable RPL-OF design according to QoS-requirements of IoT applications. The proposed methodology is useful in IoT-applications where dynamic-OF selection as per QoS-requirements is needed.

Keywords: IoT; RPL; OF; LLN; QoS; quality-of-service.

DOI: 10.1504/IJWMC.2024.139633

International Journal of Wireless and Mobile Computing, 2024 Vol.27 No.1, pp.25 - 40

Received: 06 May 2022
Received in revised form: 25 Jan 2023
Accepted: 29 Jan 2023
Published online: 05 Jul 2024 *

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