A secured routing algorithm for cluster-based networks, integrating trust-aware authentication mechanisms for energy-efficient and efficient data delivery
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.3.35Keywords:
Clustering, Optimal routing, Secured WSN, ECC, Data transmission, Energy consumption.Dimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Secure routing in Wireless Sensor Networks (WSNs) is vital for preserving data veracity and privacy in the face of possible threats. Traditional routing protocols lack robust security mechanisms, making WSNs vulnerable to attacks. Secure routing protocols in WSNs aim to address these vulnerabilities by implementing authentication, encryption, and intrusion detection techniques to ensure secure and reliable data transmission while minimizing energy consumption. This paper proposes a novel secured routing algorithm tailored for cluster-based networks, aimed at enhancing energy efficiency and data delivery security by integrating trust-based authentication mechanisms. The approach begins with the design of a clustering algorithm, which organizes network nodes into clusters based on proximity or network topology. Subsequently, a trust-based authentication mechanism is developed to evaluate the reliability and integrity of both nodes and links within the network. Building upon these foundational elements, a secured routing protocol is devised to capitalize on the cluster-based organization and trust-based authentication, thereby facilitating energy-efficient and secure data transmission. The proposed algorithm and authentication mechanism Cluster and Optimal Routing Assisted Cryptograph (CORAC) are implemented within a simulated network environment to validate their efficacy. Performance evaluation is conducted through simulation studies, focusing on key metrics such as packet delivery ratio, energy consumption, and security effectiveness. This comprehensive approach aims to address the dual challenges of energy efficiency and data security in cluster-based networks, offering a promising solution for future deployments in various applications.Abstract
How to Cite
Downloads
Similar Articles
- Saarumathi R, Ritha W, Conglomerate Charge and Merchandise Swayed Inventory Model for Fragile Vendibles , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- Nalini S, Ritha W, Inventory model considering trade discounts and scrap disposal with sustainability , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- M. Balamurugan, A. Bharathiraja, An enhanced hybrid GCNN-MHA-GRU approach for symptom-to-medicine recommendation by utilizing textual analysis of customer reviews , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- Debbie Lalruatfeli Vuite, Unnati Soni, Cross-Border Healthcare Challenges and Implications for Universal Health Coverage in Mizoram, India , The Scientific Temper: Vol. 17 No. 03 (2026): The Scientific Temper
- MRINAL CHANDRA, “SPECTRAL STUDIES & ANTIMICROBIAL STUDIES ON Cu(II) WITH SCHIFF BASE CONTAINING SNS DONOR LIGANDS , The Scientific Temper: Vol. 8 No. 1&2 (2017): The Scientific Temper
- N.S.G. Ganesh, V Arulkumar, R. Lathamanju, Priscilla Joy , Energetic and highly reliable photovoltaic power source assisted water pump control system design using IoT , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- R. Porselvi, D. Kanchana, Beulah Jackson, L. Vigneash, Dynamic resource management for 6G vehicular networks: CORA-6G offloading and allocation strategies , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Sharanagouda N. Patil, Ramesh M. Kagalkar, Analysis of substrate materials for flexible and wearable MIMO antenna for wireless communication , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- V. Seethala Devi, N. Vanjulavalli, K. Sujith, R. Surendiran, A metaheuristic optimisation algorithm-based optimal feature subset strategy that enhances the machine learning algorithm’s classifier performance , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- U. Johns Praveena, J. Merline Vinotha, The multi-objective solid transshipment problem with preservation technology under fuzzy environment , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
<< < 40 41 42 43 44 45 46 47 48 49 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- V. Karthikeyan, C. Jayanthi, Advancements in image quality assessment: a comparative study of image processing and deep learning techniques , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- A. Rukmani, C. Jayanthi, Fuzzy optimization trust aware clustering approach for the detection of malicious node in the wireless sensor networks , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- V. Karthikeyan, C. Jayanthi, Improving image quality assessment with enhanced denoising autoencoders and optimization methods , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- A. Rukmani, C. Jayanthi, Trust and security in wireless sensor networks: A literature review of approaches for malicious node detection , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Annalakshmi D., C. Jayanthi, An asymmetric key encryption and decryption model incorporating optimization techniques for enhanced security and efficiency , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper

