https://asianresassoc.org/journals/index.php/irjmt <p><strong>“International Research Journal of Multidisciplinary Technovation (IRJMT)” (ISSN 2582-1040 (Online))</strong> is a peer-reviewed, open-access journal published in the English – language, provides an international forum for the publication of Engineering and Technology Researchers. IRJMT is dedicated to publishing clearly written original articles, theory articles, review articles, short communication and letters in the precinct multidiscipline of Engineering and Technology. It is issued regularly once in two months and open to both research and industry contributions.</p> Asian Research Association en-US International Research Journal of Multidisciplinary Technovation 2582-1040 https://asianresassoc.org/journals/index.php/irjmt/article/view/6463 <p>Secure and energy-efficient data transmission is a significant challenge in Wireless Sensor Networks (WSN). Many energy-saving and security schemes already address this issue. However, these schemes fail to strike a balance between energy efficiency, performance, and security, making them unsuitable for WSNs with limited resources. This research proposes a new system for energy-efficient and secure data transfer in WSNs to enhance network reliability and lifetime. The scheme has two phases: forwarder node selection and secure data transfer. In the selection phase, a Gaussian Likelihood Censored Regression (GLCR) method selects the most efficient adjacent node as the forwarder node, based on factors such as energy, packet loss, and others. This continues until the sink node is reached, creating a reliable path. Once a path is set, secure data transfer occurs using a proposed Optimized Fuzzy Elliptic Curve-based Signcryption (OFECS) scheme. Here, the Artificial Rabbits Optimization Algorithm (AROA) fine-tunes Fuzzy Elliptic Curve (FEC) parameters like elliptic curve coefficients, cofactor, group order, generator point, and prime number. This process enhances cryptographic security while reducing computational overhead. The scheme is simulated using the NS2 tool. Finally, results show that GLCR-OFECS achieves a 99.3% Packet Delivery Ratio (PDR), 0.8 mJ of Energy Consumption (EC), 1.3 ms of End-to-End Delay (EED), 245 kbps of throughput, 512 seconds of network lifetime outperforming existing schemes. For 2000 data units, it achieves 98.57% data confidentiality, 97.74% data integrity, 26.1 MB space complexity, and 32 ms execution time, surpassing existing WSN schemes for data transfer.</p> Paruvathavardhini J Sargunam B Copyright (c) 2026 Paruvathavardhini J, Sargunam B https://creativecommons.org/licenses/by/4.0 2026-06-08 2026-06-08 1 27 10.54392/irjmt2641 https://asianresassoc.org/journals/index.php/irjmt/article/view/7183 <p>The present work is an attempt to explore the impact of bismuth oxide (Bi₂O₃) at different concentrations (5%, 10%, and 15%) on the structural, optical, and electrochemical features of hydrothermally synthesized V₂O₅ nanoparticles. Structure characterization via X-ray diffraction (XRD) confirmed that the orthorhombic phase of V₂O₅ remains in all composite samples, with slight changes caused by Bi₂O₃. The study of optical properties involved DRS-UV, and the results pointed to the band-gap gradual increase, notably for 15 % Bi₂O₃sample. The shape changes as well as the particle distribution changes due to the composite formation were confirmed by FE-SEM-EDX. XPS study showed that the pure V₂O₅ chemical environment had been changed after the addition of Bi2O3. Electrochemical evaluations, achieved by cyclic voltammetry and charge-discharge cycling, revealed considerable improvements in capacitance as well as stability. The 15% Bi₂O₃/V₂O₅ nanocomposite electrode demonstrated exceptional cycling durability with the largest specific capacitance (487 F g⁻¹ at 1 A g⁻¹), and outstanding retention of 89% after 5000 cycles among the investigated concentrations. The assembled asymmetric device with 15% Bi₂O₃/V₂O₅ nanocomposite and activated carbon attained an exceptional energy density of 38.4 Wh kg⁻¹ and a power density of 16,000 W kg⁻¹.</p> Jency Sebatine P Mohan Kumar R Sherin Celshia S Arul varman K Muthamizh S Copyright (c) 2026 Jency Sebatine P, Mohan Kumar R, Sherin Celshia S, Arul varman K, Muthamizh S https://creativecommons.org/licenses/by/4.0 2026-06-08 2026-06-08 28 46 10.54392/irjmt2642