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
The multi-objective nature of task scheduling for novel latency-sensitive applications in IoT-Fog-Cloud hierarchies presents persistent challenges, where optimizing one QoS metric often degrades another. Although bio-ins…
Comparative studies of feature selection (FS) and feature extraction (FE) for IoT intrusion detection rely almost universally on random train/test splits, which let temporally adjacent, highly similar records appear on b…
Timely, context-aware service recommendations are most significant for maximizing system efficiency and resource utilization in fog-enabled Internet of Things (IoT) for smart agriculture. Classical Grey Wolf Optimization…
Internet of Things (IoT) applications increasingly offload sensing and analytic tasks to edge and cloud resources. Cloud processing offers high computational capacity but can increase round-trip delay and wireless energy…
Machine learning can triage digital evidence at scale, but two obstacles limit its forensic adoption: opaque decisions, and point predictions without a valid statement of confidence. We present ForensiQ, a hierarchical a…
The swift deployment of IoT-based smart home appliances has increased the attack surface for the smart environment and exposed it to attacks like botnet command-and-control communications, brute force attacks, denial-of-…
Continuous and real-time health monitoring is essential for the early detection of cardiovascular and physiological abnormalities in remote and resource-limited settings. This research aims to develop an intelligent IoT-…
With the fast growth of the Internet of Things (IoT), the problem of secure and energy-efficient data exchange in resource-constrained settings has become even more challenging. The traditional cryptographic systems (RSA…
Increased traffic in the Internet of Things (IoT) network results in a large amount of network data that should be processed efficiently in order to manage IoT network resources properly. Hence, bandwidth management and…
Managing crowd safety during large-scale gatherings such as Hajj requires timely assessment of multiple risk factors, including crowd conditions, environmental factors, and health-related indicators. Many existing approa…
