The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
The Internet of Things (IoT) refers to networks of physical devices, including sensors, actuators, embedded controllers, and everyday objects, that collect and exchange data over the internet without requiring direct human operation. An IoT system typically combines a sensing layer, a communication layer using protocols such as MQTT, Zigbee, and 5G, and an application layer that processes data at the edge or in the cloud. Core research problems include energy-efficient sensor design, low-latency edge computing, interoperability across heterogeneous devices, and securing large numbers of resource-constrained endpoints against intrusion. Industry estimates suggest most enterprise-generated data will soon be processed at the network edge rather than centralized data centers, reinforcing edge computing as an active research area. IoT underpins smart homes, industrial automation, precision agriculture, connected healthcare devices, and smart city infrastructure. As a peer-reviewed, open-access IoT journal, IJACSA (an Internet of Things journal) covers IoT architectures, protocols, edge-computing strategies, and security mechanisms tested in real deployment scenarios.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed September 2026
This study aims to identify and classify the technologies used across the waste-management lifecycle, qualitatively synthesize the types of operational and circularity-related outcomes reported in the literature, and exa…
Rivers are dynamic geomorphological systems experiencing continuous transformation through erosion and sediment transport. In Bangladesh, these processes displace 50,000-200,000 people annually, causing severe losses alo…
Trust management in heterogeneous Internet of Things (IoT) deployments remains unresolved because most frameworks treat blockchain reputation persistence and edge-AI anomaly detection as separate subsystems, so the grade…
The integration of Internet of Things (IoT) and Augmented Reality (AR) technologies has emerged as a transformative approach in modern agriculture, enabling precision farming, real-time monitoring, and immersive decision…
Battery-powered sensor nodes operating in a remote environment are used in IoT-based smart agriculture deployments, where the maintenance of these devices is impractical. Thus, precise SOC (state-of-charge) estimation is…
The rapid growth of latency-sensitive and computation-intensive IoT applications in 5G and Beyond-5G (B5G) networks has increased the demand for efficient Multi-access Edge Computing (MEC) offloading strategies. Current…
The growing amount of heterogeneous devices with scarce resources is compromising the security of the Internet of Things (IoT), as they are more likely to adapt to a fixed and identity-based access control. Conventional…
The increasing complexity of Internet of Things (IoT) applications has exposed the limitations of monolithic software architectures in addressing scalability, flexibility, and real-time processing requirements. Although…
This research provides a comprehensive synthesis of Multimodal Machine Learning (MML) as a transformative paradigm for IoT defense. By integrating heterogeneous data streams, including network flow statistics, device-lev…
Deep learning (DL) is currently considered one of the most powerful tools for environmental monitoring. Many environmental variables, such as air quality, climate, water, and energy, are monitored using Internet of Thing…
