Fuzzy TOPSIS-based Secure Neighbor Discovery Mechanism for Improving Reliable Data Dissemination in Wireless Sensor Networks

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Published: Oct 7, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i10s.7705
Keywords:
Wireless Sensor Network (WSN), Secure Neighbor Discovery, Fuzzy Set Theory (FST), Multi criteria Decision Making (MCDM), Technique of Order Preference Similarity to the Ideal Solution (TOPSIS)

Main Article Content

E. Jyothi Kiranmayi
Computer Science Engineering, SVD Goverment Degree College (W), Nidadavole, INDIA
N. V. Rao
Computer Science Engineering, CVR College of Engineering, Hyderabad, INDIA
K. S. Nayanatara
Electronics and Comminication Engineering, CVR College of Engineering, Hyderabad, INDIA

Abstract

Wireless Sensor Networks (WSNs) being an indispensable entity of the Internet of Things (IoT) are found to be more and more widely utilized for the rapid advent of IoT environment. The reliability of data dissemination in the IoT environment completely depends on the secure neighbor discovery mechanism that are utilized for effective and efficient communication among the sensor nodes. Secure neighbor discovery mechanisms that significantly determine trustworthy sensor nodes are essential for maintaining potential connectivity and sustaining reliable data delivery in the energy-constrained self organizing WSN. In this paper, Fuzzy Technique of Order Preference Similarity to the Ideal Solution (TOPSIS)-based Secure Neighbor Discovery Mechanism (FTOPSIS-SNDM) is proposed for estimating the trust of each sensor node in the established routing path for the objective of enhancing reliable data delivery in WSNs. This proposed FTOPSIS-SNDM is proposed as an attempt to integrate the merits of Fuzzy Set Theory (FST) and TOPSIS-based Multi-criteria Decision Making (MCDM) approach, since the discovery of secure neighbors involves the exchange of imprecise data and uncertain behavior of sensor nodes. This secure neighbor is also influenced by the factors of packet forwarding potential, delay, distance from the Base Station (BS) and residual energy, which in turn depends on multiple constraints that could be possibly included into the process of secure neighbor discovery. The simulation investigations of the proposed FTOPSIS-SNDM confirmed its predominance over the benchmarked approaches in terms of throughput, energy consumption, network latency, communication overhead for varying number of genuine and malicious neighboring sensor nodes in network.

Article Details

How to Cite
Kiranmayi, E. J. ., Rao, N. V. ., & Nayanatara, K. S. . (2023). Fuzzy TOPSIS-based Secure Neighbor Discovery Mechanism for Improving Reliable Data Dissemination in Wireless Sensor Networks. International Journal on Recent and Innovation Trends in Computing and Communication, 11(10s), 657–668. https://doi.org/10.17762/ijritcc.v11i10s.7705
Issue
Vol. 11 No. 10s (2023)
Section
Articles

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