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Quantum Firefly Secure Routing for Fog Based Wireless Sensor Networks

R. Dayana1,*, G. Maria Kalavathy2

1 Department of Computer Science and Engineering, Jeppiaar Institute of Technology, Chennai, 631604, Tamil Nadu, India
2 Department of Computer Science and Engineering, St. Joseph’s College of Engineering, Chennai, 600119, Tamil Nadu, India

* Corresponding Author: R. Dayana. Email: email

Intelligent Automation & Soft Computing 2022, 31(3), 1511-1528. https://doi.org/10.32604/iasc.2022.020551

Abstract

Wireless Sensor Networks (WSNs) become an integral part of Internet of Things (IoT) and finds their applicability in several domains. As classical WSN faces several issues in service-based IoT applications, fog computing has been introduced in real-time, enabling local data processing and avoid raw data transmission to cloud servers. The Fog-based WSN generally involves advanced nodes, normal nodes, and some Fog Nodes (FN). Though the Fog-based WSN offers several benefits, there is a need to develop an effective trust-based secure routing protocol for data transmission among Cluster Heads (CHs) and FNs. In this view, this paper presents a Quantum Firefly Optimization based Multi-Objective Secure Routing (QFO-MOSR) protocol for Fog-based WSN. The main intention of the QFO-MOSR technique is to derive an optimal selection of routes between CHs and FNs in the network. The QFO-MOSR technique has incorporated the concepts of quantum computing and Firefly (FF) optimization algorithm inspired by the flashing behaviour of FFs. In addition, a multi-objective fitness function is derived by the QFO-MOSR technique using seven objectives: distance, inter-cluster distance, energy, delay, intra-cluster distance, link lifetime, and trust. The proposed routing technique derives a fitness function including trust factor from ensuring security. The design of the QFO-MOSR technique with a multi-objective fitness function shows the novelty of the work. To validate the performance of the QFO-MOSR technique, a series of experiments were carried out, and the results are investigated in terms of different measures. The experimental analysis ensured that the QFO-MOSR technique is superior to other methods in terms of different measures.

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APA Style
Dayana, R., Kalavathy, G.M. (2022). Quantum firefly secure routing for fog based wireless sensor networks. Intelligent Automation & Soft Computing, 31(3), 1511-1528. https://doi.org/10.32604/iasc.2022.020551
Vancouver Style
Dayana R, Kalavathy GM. Quantum firefly secure routing for fog based wireless sensor networks. Intell Automat Soft Comput . 2022;31(3):1511-1528 https://doi.org/10.32604/iasc.2022.020551
IEEE Style
R. Dayana and G.M. Kalavathy, “Quantum Firefly Secure Routing for Fog Based Wireless Sensor Networks,” Intell. Automat. Soft Comput. , vol. 31, no. 3, pp. 1511-1528, 2022. https://doi.org/10.32604/iasc.2022.020551



cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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