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Article type: Research Article
Authors: Tino Merlin, R.a; * | Ravi, R.b
Affiliations: [a] Research Scholar,Research and Development Centre, Bharathiar University, Coimbatore, Tamil Nadu, India | [b] Anna University Recognized Research Centre, Department of Computer Science and Engineering,Francis Xavier Engineering College, Tirunelveli, India
Correspondence: [*] Corresponding author. R. Tino Merlin, Research Scholar, Research and Development Centre, Bharathiar University, Coimbatore 641046, Tamil Nadu, India. Email [email protected].
Abstract: This study introduces a tailored data acquisition and communication framework for IoT smart applications, focusing on enhancing efficiency and system performance. The proposed Quality-Driven IoT Routing (EQR-SC) for smart cities utilizes IoT-enabled wireless sensor networks. Additionally, a noteworthy contribution is the introduction of the Chaotic Firefly Optimization (CFOA) algorithm for IoT sensor cluster formation, potentially optimizing the organization and efficiency of IoT sensor networks in smart cities. Trust-based cluster Head Selection is enhanced by employing the Weighted Clustering Algorithm (WCA), which assigns weights to nodes based on trustworthiness and relevant metrics to select reliable cluster heads. The proposal of a lightweight data encryption technique enhances data security among IoT sensors, ensuring the privacy and integrity of transmitted information. To optimize pathfinding within the IoT platform, the research employs the Bellman-Ford algorithm, ensuring efficient data routing while accommodating negative edge weights when necessary. Finally, a thorough performance analysis, conducted through network simulation (NS2), provides insights into the effectiveness of the proposed OQR-SC technique, allowing for valuable comparisons with existing state-of-the-art methods.
Keywords: QoS, IoT smart applications, wireless sensor networks
DOI: 10.3233/JIFS-240308
Journal: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2024
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