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 evaluates a three-factor authentication protocol designed for IoT healthcare systems, identifying several key vulnerabilities that could compromise its security. The analysis reveals weaknesses in single-facto…
The Internet of Things (IoT) relies on efficient Wireless Sensor Networks (WSNs) for data collection and transmission in various applications, including smart cities, industrial automation, and environmental monitoring.…
In the Internet of Things (IoT) era, energy efficiency in Wireless Sensor Networks (WSNs) is of utmost importance given the finite power resources of sensor nodes. An efficient Cluster Head (CH) selection greatly influen…
The growing prevalence of Internet of Things (IoT) devices has heightened vulnerabilities to botnet-based cyberattacks, necessitating robust detection mechanisms. This paper proposes DenseRSE-ASPPNet, an advanced deep le…
Smart cities require effective, adaptive household waste management systems due to rapid urbanization. Traditional bin placement strategies based on placing bins equidistant among residents fail to account for actual hum…
This paper introduces a novel framework integrating Large Language Models (LLMs) with blockchain technology for medical device fault detection and diagnostics in Health-care 4.0 environments. The proposed framework addre…
Internet of Things (IoT) technology quickly trans-formed traditional management and engagement techniques in several sectors. This work explores the trends and applications of the Internet of Things in industries, includ…
The evolution of healthcare, driven by remote monitoring and connected devices, is transforming medical service de-livery. Digital twins, virtual replicas of patients, enable continuous monitoring and predictive analysis…
The logistics industry is under increasing pressure to reduce carbon emissions and enhance efficiency in response to environmental and regulatory demands. However, optimizing road logistics to achieve these goals require…
The security and efficiency of Internet of Things (IoT) networks depend on optimizing the routing protocol for low-power, lossy networks (LPNs) to manage various challenges, including expected number of transmissions (ET…
