Open Access

ARTICLE

Design of QoS Aware Routing Protocol for IoT Assisted Clustered WSN

Ashit Kumar Dutta¹, S. Srinivasan², Bobbili Prasada Rao³, B. Hemalatha⁴, Irina V. Pustokhina⁵, Denis A. Pustokhin⁶, Gyanendra Prasad Joshi^7,*

1 Department of Computer Science and Information Systems, College of Applied Sciences, Almaarefa University, Riyadh, 13713, Kingdom of Saudi Arabia
2 Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha Nagar, Thandalam, Chennai, 602105, India
3 Department of Electrical and Electronics Engineering, Vignan's Institute of Information Technology, Visakhapatnam, 530049, India
4 Department of Electronics and Communication Engineering, Thirumalai Engineering College, Kancheepuram, 631551, India
5 Department of Entrepreneurship and Logistics, Plekhanov Russian University of Economics, 117997, Moscow, Russia
6 Department of Logistics, State University of Management, 109542, Moscow, Russia
7 Department of Computer Science and Engineering, Sejong University, Seoul, 05006, Korea

* Corresponding Author: Gyanendra Prasad Joshi. Email:

Computers, Materials & Continua 2022, 71(2), 3785-3801. https://doi.org/10.32604/cmc.2022.023657

Received 15 September 2021; Accepted 20 October 2021; Issue published 07 December 2021

Abstract

In current days, the domain of Internet of Things (IoT) and Wireless Sensor Networks (WSN) are combined for enhancing the sensor related data transmission in the forthcoming networking applications. Clustering and routing techniques are treated as the effective methods highly used to attain reduced energy consumption and lengthen the lifetime of the WSN assisted IoT networks. In this view, this paper presents an Ensemble of Metaheuristic Optimization based QoS aware Clustering with Multihop Routing (EMO-QoSCMR) Protocol for IoT assisted WSN. The proposed EMO-QoSCMR protocol aims to achieve QoS parameters such as energy, throughput, delay, and lifetime. The proposed model involves two stage processes namely clustering and routing. Firstly, the EMO-QoSCMR protocol involves cross-entropy rain optimization algorithm based clustering (CEROAC) technique to select an optimal set of cluster heads (CHs) and construct clusters. Besides, oppositional chaos game optimization based routing (OCGOR) technique is employed for the optimal set of routes in the IoT assisted WSN. The proposed model derives a fitness function based on the parameters involved in the IoT nodes such as residual energy, distance to sink node, etc. The proposed EMO-QoSCMR technique has resulted to an enhanced NAN of 64 nodes whereas the LEACH, PSO-ECHS, E-OEERP, and iCSHS methods have resulted in a lesser NAN of 2, 10, 42, and 51 rounds. The performance of the presented protocol has been evaluated interms of energy efficiency and network lifetime.

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Keywords

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