Browsing by Author "Jayakody, D"

Now showing 1 - 2 of 2

Embargo
Decrypting the Digital Vault by Understanding Cryptocurrency Adoption Challenges Among Gen Z: Case of Sri Lanka
(University of Nigeria Department of Mass Communication, 2025-01-01) Mallawaarachchi, S; Hemachandra, U; Jayakody, D; Wickramarathne, U; Lokeshwara, A.A; Bandara, G.C
Background: As digital natives, Gen Zs are at the forefront of embracing cryptocurrencies for technological innovation and financial empowerment. This study is part of a larger effort to understand the evolving trends in the world of cryptocurrency, highlighting the need for more research in this area. Objective: This study sought to explore the diverse challenges faced by Gen Zs while adapting to the usage of cryptocurrencies within the Sri Lankan context. Methodology: The researchers conducted this study using an inductive qualitative approach. Data were gathered through in-depth interviews with 24 participants, employing snowball sampling to recruit participants. The collected data were then analysed using thematic analysis, and the findings were presented in prose form. Results: The results of this study revealed three key themes that significantly impact the usage of cryptocurrency as a digital asset among Gen Zs in Sri Lanka: (i) Trust and security concerns, (ii) Market volatility and investment risks, (iii) Regulatory approach and cryptocurrency transactions. Conclusion: Although cryptocurrency has gained acceptance among Gen Zs, its usage is determined by factors that ensure that users harness its full benefits. Contribution: This study has revealed the diverse challenges that Gen Zs embraced when adopting cryptocurrencies. © 2025, University of Nigeria Department of Mass Communication. All rights reserved.
Open Access
Robust Distributed Collaborative Beamforming for WSANs in Dual-Hop Scattered Environments with Nominally Rectangular Layouts
(Multidisciplinary Digital Publishing Institute (MDPI), 2025-03-19) Ben Smida, O; Affes, S; Jayakody, D; Nizam, Y
We introduce a robust distributed collaborative beamforming (RDCB) approach for addressing channel estimation challenges in dual-hop transmissions within wireless sensor and actuator networks (WSANs) of K nodes. WSANs enhance wireless communication by reducing data transmission, latency, and energy consumption while optimizing network load through integrated sensing and actuation. The source S transmits signals to the WSAN, where nodes relay them to the destination D using beamforming weights to minimize noise and preserve signal integrity. These weights depend on channel state information (CSI), where estimation errors degrade performance. We develop RDCB solutions for three first-hop propagation scenarios—monochromatic [line-of-sight (LoS)] or “M”, bichromatic (moderately scattered) or “B”, and polychromatic (highly scattered) or “P”—while assuming a monochromatic LoS or “M” link for the second hop between the nodes and the far-field destination. Termed MM-RDCB, BM-RDCB, and PM-RDCB, respectively (“X” and “Y” in XY-RDCB—for X (Formula presented.) and Y (Formula presented.) —refer to the chromatic natures of the first- and second-hop channels, respectively, to which a specific RDCB solution is tailored), these solutions leverage asymptotic approximations for large K values and the nodes’ geometric symmetries. Our distributed solutions allow local weight computation, enhancing spectral and power efficiency. Simulation results show significant improvements in the signal-to-noise ratio (SNR) and robustness versus WSAN node placement errors, making the solutions well suited for emerging 5G and future 5G+/6G and Internet of Things (IoT) applications for different challenging environments.