A5020099883- UAV Applications and Optimization
- IoT and Edge/Fog Computing
- Advanced Wireless Communication Technologies
- Software-Defined Networks and 5G
- Vehicular Ad Hoc Networks (VANETs)
- Opportunistic and Delay-Tolerant Networks
- Image and Video Quality Assessment
- Telecommunications and Broadcasting Technologies
- Distributed Control Multi-Agent Systems
- Blockchain Technology Applications and Security
- Satellite Communication Systems
- Advanced MIMO Systems Optimization
- Historical and Religious Studies of Rome
- Privacy-Preserving Technologies in Data
- Transportation and Mobility Innovations
- Network Security and Intrusion Detection
- Byzantine Studies and History
- Medieval History and Crusades
- Digital Transformation in Industry
- Early Modern Spanish Literature
- Advanced Optical Network Technologies
- Peer-to-Peer Network Technologies
- Complex Systems and Decision Making
- Network Traffic and Congestion Control
- Wireless Body Area Networks
University of Catania
2017-2024
Moriggia Pelascini Hospital
2023
Universidad del Noreste
2022
University of Reggio Calabria
2022
Institute for Infocomm Research
2022
University of Palermo
2022
Network slices for delay-constrained applications in 5G systems require computing facilities at the edge of network to guarantee ultra-low latency processing data flows generated by connected devices, which is challenging with larger volumes data, and distances network. To address this challenge, we propose extend Unmanned Aerial Vehicles (UAV) equipped multi-access (MEC) facilities. However, onboard elements (CE) consume UAV's battery power thus impacting its flight duration. We a framework...
Internet of Things (IoT) has emerged as a huge paradigm shift by connecting versatile and massive collection smart objects to the Internet, coming play an important role in our daily lives. Data produced IoT devices can generate number computational tasks that cannot be executed locally on devices. The most common solution is offloading these external with higher storage capabilities, usually provided centralized servers remote clouds or edge using fog computing paradigm. Nevertheless, some...
In the last decade, video surveillance systems have become more and popular. Thanks to a decrease in price of camera devices diffusion cheap small unmanned aerial vehicles (UAVs), monitoring is today adopted wide range application cases, from road traffic control precision agriculture. This leads capture great amount visual material be monitored screened for event detection. However, information that gathered platform UAVs may produce high-volume data, whose processing unfeasible done...
The next generation of wireless communications networks, namely 6G, will be aimed at realizing a fully connected world, and providing ubiquitous connectivity to people objects even in remote areas that are very far from the structured Internet core network. These goals include definition design intelligent environments mainly characterized by pervasive artificial intelligence large-scale automation. target this paper is management framework for edge networks realized with Flying Ad-Hoc...
Some representative 5G application scenarios regard geographic areas very far from the structured core network, but are characterized by need for processing huge amount of data that cannot be transmitted to multi-access edge (MEC) facilities installed at network. To this purpose, paper proposes extend a network slice with fleet UAVs, each providing computing facilities, and reason referred as MEC UAVs. The cooperation between UAVs belonging same based on job offloading, aiming minimizing...
One of the main goals new fifth generation cellular networks (5G) is to provide programmability, flexibility, and modularity that are required create multiple logical networks, called network slices, each tailored for a given vertical use case, on top common infrastructure. A particular slice expected be able plethora opportunities applications, Tactile Internet, aiming at guaranteeing e2e delays not greater than 1 ms its users. Matching this very severe requirement does only depend length...
Deployment of technologies for Intelligent Transportation Systems (ITS) involves the installation Road Side Units (RSU) on roadway and On-Board (OBU) inside vehicles. In this direction, 5G will make a great impulse providing low latency communication computation at edge network. First, paper defines VMEC-in-a-Box, smart RSU combined with MEC station, aimed computing vehicular applications by enabling job offloading from VMEC-in-a-Box is equipped microeolic power generator to be autonomous...
Next generation (5G&B) networks will require the design of new architectures and technologies capable supporting time-sensitive applications. To this aim, implementation service chaining as a tool to simplify lighten execution complex tasks by splitting these into simpler functions that can be provided at network edge represent critical improvement. Recently, it has been proposed implement way unmanned aerial vehicles (UAVs) organized flying ad hoc network. In article, we shed light on...
Recently, Flying Ad Hoc Networks (FANET) have been proposed to empower 5G networks support complex missions and provide ubiquitous connectivity heterogeneous devices. However, it is needed cope with the limited UAV capabilities (e.g., available energy supply engines computing elements, capabilities), as well need network application services foreseen in highly dynamic time varying ecosystems. This paper presents for first a comprehensive framework that integrates FANET network, aim of...
This paper presents a software architecture, based on the Tactile Internet 5G network slice, to control flock of UAVs performing monitoring mission. In contrast classical approaches for UAV control, which employ ad-hoc running directly board UAVs, we propose solution in and mission tasks run at edge network; architecture takes advantage implement ultra-low latency communication link needed send driving commands UAVs. As result, deployment computations provides many advantages, terms...
The fifth generation (5G) of mobile networks has the goal providing ultra-high-speed access everywhere and enabling connectivity massive number devices in an ultra-reliable affordable way. However, many environments that are considered strategic for 5G applications, a structured network is not available. A solution to extend features provided by Multi-access Edge Computing (MEC), one main enabler 5G, these contexts, use fleets MEC UAVs, each equipped with computing element (CE), organized...
In the last few years, thanks to SDN and NFV network paradigms MEC cloud computing paradigm, is modifying its ossified infrastructure through a softwarization process. This process one of main enabler forthcoming 5G network. Despite huge amount research that has been carried out in recent literature around both service definition deployment network, characterization quality (QoS) experience (QoE), there need testing services on field, order understand how key performance indices (KPI) depend...
Background: The craniovertebral junction is a complex region, connecting the occiput, atlas, axis, and containing vital neural vascular structures. There great variability in diseases involving junction, of different nature, each rare frequency. Methods: We conducted retrospective chart review patients diagnosed with extremely pathologies that we have operated last 5 years. Results: After excluding relatively more frequent pathologies, identified nine cases pathologies. Six were using an...
1 The evolution of smart objects towards the Internet Softwarized Things (IoST) in 6G networks will provide society with dynamic and programmable systems interconnected devices interacting little to no human intervention. One pivotal aspect this is represented by edge learning, which brings machine-learning algorithms at network achieve massive connectivity, ultra-low latency, energy efficiency, security privacy. Unfortunately, many application scenarios commonly envisioned for 6G, learning...
This paper proposes a multi-layer platform for job offloading in vehicular networks. Offloading is performed from vehicles the Vehicular Domain towards Multi-Access Edge Computing (MEC) Servers deployed at edge of network, and between MEC Servers. decisions both domains are challenging overall system performance. Optimization Layer domain obtained by model-based Reinforcement Learning, while strategy to decide best rate defined achieve desired trade-off costs Numerical analysis shows achieved
In the last few years, some research papers have proposed usage of UAVs organized in Flying Ad-Hoc Network (FANET) remote areas with a poor or completely non-existent structured network to support novel application scenarios which data generated by end users must be processed on site ultra-low latency. This way, FANET can seen as provider services and/or slices for extreme-edge 5G networks delay-sensitive applications. However, keeping available and active is an ongoing challenge autonomy...
In the near future, 6G networks will be able to provide its users with heterogeneous tailored end-to-end network services for edge AI-powered applications. However, in many use case scenarios there may not structured infrastructures. One of most appealing solutions meet this problem is bring computing, networking and storage facilities on site by means UAVs. The target paper definition a management framework Flying Ad-Hoc Networks (FANET) aimed at bringing computing remote areas,...