4 publications

  • Published Subscription Review Article

    Reviewing the Latest Developments in Wearable Electronics: Sensors, Energy Management, and Health Monitoring

    Abstract: The realms of medical treatment, fitness tracking, and personalised monitoring have all been revolutionised by substantial recent breakthroughs in wearable electronics. With an emphasis upon sensors, energy management, and health monitoring, this abstract offers a summary of the most recent advancements in wearable electronics. The review includes studies from a variety of research fields, such as tracking the health of plants, remote health monitoring for diabetic patients, soft and wearable …

    Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 3, 2025 · pp. 13–18 Read article

  • Published Subscription Review Article

    A Comprehensive Review of Deep Compressive Sensing for Efficient IoT Data Management

    Abstract: The Internet of Things has revolutionized data-driven ecosystems and offers advanced services, such as live monitoring and automation in various domains: smart cities, healthcare, and industrial automation. However, with the exponential growth of IoT devices, comes a large amount of data generation, which poses considerable problems like network congestion, latency, and energy inefficiency. Compressive sensing (CS), one of the newest signal processing methodologies, has emerged as an enabler to meet …

    Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 Read article

  • Published Subscription Original Research

    Deep Learning Enhanced Compressive Sensing for Wireless IoT Data Optimization and Weather Monitoring.

    Abstract: This research explores the application of deep learning and compressive sensing in order to optimize data traffic in non-orthogonal multiple access (NOMA)-based wireless internet of things (IoT) networks and weather monitoring. Such a framework would be very effective and overcome pilot attacks and reconstruction losses for secure data transmission. In this regard, a strong communication model has been adopted based on power-domain NOMA for simultaneous wireless transmission by multiple IoT …

    Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 20–36 Read article

  • Published Subscription Review Article

    Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing

    Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …

    Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article

Support