Open Access

ARTICLE

Optimized Tuning of LOADng Routing Protocol Parameters for IoT

by Divya Sharma^1,*, Sanjay Jain², Vivek Maik³

1 Department of Electronics and Communication, New Horizon College of Engineering, Bengaluru, 560103, India
2 CMR Institute of Technology, Bengaluru, 560037, India
3 Department of Electronics and Communication, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, India

* Corresponding Author: Divya Sharma. Email:

Computer Systems Science and Engineering 2023, 46(2), 1549-1561. https://doi.org/10.32604/csse.2023.035031

Received 04 August 2022; Accepted 21 November 2022; Issue published 09 February 2023

Abstract

Interconnected devices and intelligent applications have slashed human intervention in the Internet of Things (IoT), making it possible to accomplish tasks with less human interaction. However, it faces many problems, including lower capacity links, energy utilization, enhancement of resources and limited resources due to its openness, heterogeneity, limited resources and extensiveness. It is challenging to route packets in such a constrained environment. In an IoT network constrained by limited resources, minimal routing control overhead is required without packet loss. Such constrained environments can be improved through the optimal routing protocol. It is challenging to route packets in such a constrained environment. Thus, this work is motivated to present an efficient routing protocol for enhancing the lifetime of the IoT network. Lightweight On-demand Ad hoc Distance-vector Routing Protocol—Next Generation (LOADng) protocol is an extended version of the Ad Hoc On-Demand Distance Vector (AODV) protocol. Unlike AODV, LOADng is a lighter version that forbids the intermediate nodes on the route to send a route reply (RREP) for the route request (RREQ), which originated from the source. A resource-constrained IoT network demands minimal routing control overhead and faster packet delivery. So, in this paper, the parameters of the LOADng routing protocol are optimized using the black widow optimization (BWO) algorithm to reduce the control overhead and delay. Furthermore, the performance of the proposed model is analyzed with the default LOADng in terms of delay, delivery ratio and overhead. Obtained results show that the LOADng-BWO protocol outperforms the conventional LOADng protocol.

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Keywords

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