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
Traceability in food supply chains is crucial for ensuring safety, enabling effective quality control, and maintaining consumer trust. However, traditional paper-based or digital tracking systems often prove too slow and…
The proliferation of IoT devices has introduced new challenges in ensuring secure communication while maintaining computational and energy efficiency. Traditional cryptographic mechanisms such as AES-128, although robust…
Energy-efficient building operation requires accurate prediction and optimization of dynamic thermal loads under noisy IoT data streams. We propose an integrated framework that combines 1) mutual-information–based online…
The global shift towards renewable energy has positioned wind power as a cornerstone of sustainable development. However, the operational efficiency of wind farms is significantly hampered by unexpected component failure…
Predictive maintenance plays a crucial role in minimizing unplanned downtimes, reducing maintenance costs, and optimizing the operational efficiency of IoT-embedded industrial machinery. Despite its transformative potent…
Ransomware is currently one of the most severe cybersecurity threats and not only attacks legacy systems but cloud systems and Industrial Internet of Things (IIoT) systems as well. Security and privacy threats are height…
This study proposes a Q-learning-based adaptive duty cycle scheduling algorithm for LoRaWAN in a smart city eco-system to enhance the energy efficiency, reduce transmission delay, and handle dynamic traffic conditions. A…
The efficient management of campus infrastructure presents a complex spatiotemporal forecasting challenge characterized by dynamic interdependencies between physical assets. Traditional models fail to capture these intri…
Due to the high volatility and complex interdependencies within financial markets, predicting Forex prices becomes a difficult challenge for investors. Furthermore, the traditional trading models struggle to capture thos…
Safe vaccine storage hinges on continuous, trust-worthy temperature supervision and evidence that records have not been altered. Yet many cold rooms still rely on fragmented logging tools that lack real-time alerts, end-…
