Cloud- and Big Data-based Algorithms for Cognitive Radio Networks
Some of the challenges of Cognitive Radio Networks (CRNs) include the service interruption loss, complexity of processing and exchange of large amount of data and the non-real-time exchange of spectrum sensing data. We investigated a cloud-based Cooperative Spectrum Sensing model for CRN that uses a two-layer Fusion Center design for data a Read Details
Mitigating Cybersecurity Threats in Distributed Smart Home IoT Networks
As IoT devices become increasingly common in residential settings, they offer significant contributions to energy management, comfort, and personalized living experiences through extensive data collection and automation. However, these advancements also introduce serious security vulnerabilities, particularly when IoT network Read Details
Context-Sensitive IoT Applications for Enhanced Healthcare Delivery
There is an alarming rate of increase in the use of illegal drugs by pregnant women and the children-at-risk of birth developmental problems. We are investigating cloud-enabled IoT support for women seeking addiction treatment during pregnancy. We are particularly interested in Machine Learning approaches that will allows the identific Read Details
AI-Driven Mobility, Real-Time Traffic Analytics, and Accessibility for Aging-Focused Intelligent Transportation Systems
With the global population aged 65 and older expected to double by 2050, ensuring equitable access to safe,
efficient, and responsive transportation systems has become a pressing societal imperative. We proposed an ITS framework that integrates AI-powered elderly vehicle monitoring for proactive risk detection, real-tim Read Details