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Jammer Localization in the Internet of Vehicles: Scenarios, Experiments, and Evaluation
(
ACM Digital Library
, 2022 , Conference Paper)
The Internet of Vehicles (IoV) paradigm aims to improve road safety and provide a comfortable driving experience for Internet-connected vehicles, by transmitting early warning and infotainment signals to Internet-connected ...
UAVs Smart heuristics for Target Coverage and Path Planning Through Strategic Locations
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The affordability and deployment-flexibility of Unmanned Air Vehicles (UAVs) have ignited the development of many smart applications, including surveillance, disaster management, and smart farming. Drone's energy consumption ...
MMRL: A Multi-Modal Reinforcement Learning Technique for Energy-efficient Medical IoT Systems
(
IEEE
, 2021 , Conference Paper)
The Internet of Medical Things (IoMT) couples the rapid growth of Internet of things (IoT) technologies with smart health systems, leveraging wireless battery-operated devices for remote health monitoring. Since 2019, a ...
AirEye: UAV-Based Intelligent DRL Mobile Target Visitation
(2022 , Conference Paper)
From traffic monitoring to livestock tracking, and military reconnaissance to marine discovery, unmanned aerial vehicles (UAVs) are indispensable. Its dependence on a battery for power supply limits the flight time to visit ...
FEDGAN-IDS: Privacy-preserving IDS using GAN and Federated Learning
(
Elsevier
, 2022 , Article)
Federated Learning (FL) is a promising distributed training model that aims to minimize the data sharing to enhance privacy and performance. FL requires sufficient and diverse training data to build efficient models. Lack ...
Optimized Resource and Deep Learning Model Allocation in O-RAN Architecture
(
IEEE Computer Society
, 2023 , Conference Paper)
In the era of 5G and beyond, telecommunication networks tend to move Radio Access Network (RAN) from centralized architecture to a more distributed architecture for greater interoperability and flexibility. Open RAN (O-RAN) ...
Incentive-based Resource Allocation for Mobile Edge Learning
(
IEEE
, 2022 , Conference Paper)
Mobile Edge Learning (MEL) is a learning paradigm that facilitates training of Machine Learning (ML) models over resource-constrained edge devices. MEL consists of an orchestrator, which represents the model owner of the ...
AirEye: UAV-Based Intelligent DRL Mobile Target Visitation
(
IEEE
, 2022 , Conference Paper)
From traffic monitoring to livestock tracking, and military reconnaissance to marine discovery, unmanned aerial vehicles (UAVs) are indispensable. Its dependence on a battery for power supply limits the flight time to visit ...
Zero Touch Realization of Pervasive Artificial Intelligence as a Service in 6G Networks
(
IEEE
, 2023 , Article)
The vision of the upcoming 6G technologies, characterized by ultra-dense networks, low latency, and fast data rate, is to support pervasive artificial intelligence (PAI) using zero touch solutions enabling self-X (e.g., ...
Region of Interest Optimization for Delay-sensitive Telemedicine Applications
(
IEEE
, 2022 , Conference Paper)
Telemedicine is a rising technology that is gaining a lot of interest in the recent decades. Several applications of telemedicine are delay-sensitive and need to be operated in real-time. One of which is surgical tele-mentoring ...