Table of Content

Open Access iconOpen Access

ARTICLE

Hybrid Soft Computing Technique Based Trust Evaluation Protocol for Wireless Sensor Networks

Supreet Kaur*, Vijay Kumar Joshi

Department of Computer Science and Engineering, IKG Punjab Technical University, Jalandhar, Punjab, India

* Corresponding Author: Supreet Kaur, email

Intelligent Automation & Soft Computing 2020, 26(2), 217-226. https://doi.org/10.31209/2018.100000064

Abstract

Wireless sensor networks (WSNs) are susceptible to safety threats due to cumulative dependence upon transmission, computing, and control mechanisms. Therefore, securing the end-to-end communication becomes a major area of research in WSNs. A majority of existing protocols are based upon signature and recommended-based trust evaluation techniques only. However, these techniques are vulnerable to wormhole attacks that happen due to lesser synchronization between the sensor nodes. Therefore, to handle this problem, a novel hybrid crossover-based ant colony optimization-based routing protocol is proposed. An integrated modified signature and recommendationbased trust evaluation protocol for WSNs is presented. Extensive experiments reveal that the proposed technique outperforms existing protocols in terms of network lifetime, bandwidth, and execution time.

Keywords


Cite This Article

APA Style
Kaur, S., Joshi, V.K. (2020). Hybrid soft computing technique based trust evaluation protocol for wireless sensor networks. Intelligent Automation & Soft Computing, 26(2), 217-226. https://doi.org/10.31209/2018.100000064
Vancouver Style
Kaur S, Joshi VK. Hybrid soft computing technique based trust evaluation protocol for wireless sensor networks. Intell Automat Soft Comput . 2020;26(2):217-226 https://doi.org/10.31209/2018.100000064
IEEE Style
S. Kaur and V.K. Joshi, “Hybrid Soft Computing Technique Based Trust Evaluation Protocol for Wireless Sensor Networks,” Intell. Automat. Soft Comput. , vol. 26, no. 2, pp. 217-226, 2020. https://doi.org/10.31209/2018.100000064



cc Copyright © 2020 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.
  • 1887

    View

  • 1239

    Download

  • 0

    Like

Share Link