A5015554669- Caching and Content Delivery
- Opportunistic and Delay-Tolerant Networks
- IoT and Edge/Fog Computing
- Mobile Ad Hoc Networks
- Cooperative Communication and Network Coding
- Wireless Networks and Protocols
- Advanced Wireless Network Optimization
- Vehicular Ad Hoc Networks (VANETs)
- Wireless Communication Networks Research
- Advanced Data Compression Techniques
- Context-Aware Activity Recognition Systems
- Speech and Audio Processing
- Software-Defined Networks and 5G
- Energy Harvesting in Wireless Networks
- Advanced Adaptive Filtering Techniques
- Mobile Crowdsensing and Crowdsourcing
- IPv6, Mobility, Handover, Networks, Security
- Energy Efficient Wireless Sensor Networks
- Advanced MIMO Systems Optimization
- Carbon and Quantum Dots Applications
- Network Traffic and Congestion Control
- Peer-to-Peer Network Technologies
- Neurological disorders and treatments
- Parkinson's Disease Mechanisms and Treatments
- Advanced Photocatalysis Techniques
University of Reggio Calabria
2016-2025
Consorzio Nazionale Interuniversitario per le Telecomunicazioni
2020-2025
University of Cagliari
2023
Advanced Computer System (Italy)
2014-2015
Università Cattolica del Sacro Cuore
2014
University of Catania
2000-2003
Technology is continually undergoing a constituent development caused by the appearance of billions new interconnected "things" and their entrenchment in our daily lives. One underlying versatile technologies, namely wearables, able to capture rich contextual information produced such devices use it deliver legitimately personalized experience. The main aim this paper shed light on history wearable provide state-of-the-art review market. Moreover, provides an extensive diverse classification...
Large-scale smart environments (LSEs) are open and dynamic systems typically extending over a wide area including huge number of interacting devices with heterogeneous nature. Thus, during their deployment scalability interoperability key requirements to be definitely taken into account. To these, discovery reputation assessment services objects have added, given that new functionalities continuously join LSEs. In spite the increasing interest in this topic, effective approaches develop LSEs...
A massive research effort is recently going in the direction of interfacing cars with smartphones to offer value-added services driver and passengers. Such an interest motivated by large popularity observation that vehicles can act as effective collectors information from surrounding environment. Indeed, modern are endowed several sensors forming in-vehicle network, which provides kinematics information, automotive diagnostic services, etc. Cars be further equipped external sensing devices...
Edge computing is a key paradigm to offload the core network and effectively process massive Internet of Things (IoT) raw data without sending them cloud. This normally relies on set purpose-built pre-planned servers, which host storage processing resources provide IoT services close sources, thus saving offloading remote cloud infrastructure. In this paper, we propose turn edge into dynamic, distributed environment that supports provisioning services, by exploiting recent evolution named...
Among the distinctive features of Named Data Networking (NDN) paradigm, in-network caching plays a crucial role in improving data delivery performance. At network edge, benefits can be remarkable terms reduced traffic and user-perceived access latency. Multiple strategies have been designed for static Internet contents NDN routers, while less attention has devoted to transient Things (IoT) data, which expire after certain amount time. In this work, we introduce novel distributed autonomous...
In-network caching is one of the main pillars Named Data Networking (NDN) paradigm, where every Internet router, in path between data sources and consumers, can cache incoming content packets. Multiple strategies have been designed for Things (IoT) streamed by resource-constrained devices edge domains wireless sensor networks, while benefits IoT at Internet-scale, including both core network segments, not fully disclosed. In this work, we propose analyse a novel probabilistic Internet-scale...
With more than 75 billions of objects connected by 2025, Internet Things (IoT) is the catalyst for digital revolution, contributing to generation big amounts (transient) data, which calls into question storage and processing performance conventional cloud. Moving resources at edge can reduce data retrieval latency save core network resources, albeit actual depends on selected caching policy. Existing strategies mainly account content popularity as crucial decision metric do not consider...
Future buildings are complex systems that aim at improving the quality of life their inhabitants and increasing safeness, security, efficiency. In order to reach these goals, they require own self-management self-adaptation capabilities, thus becoming cognitive entities. However, developing exploit advanced Artificial Intelligence (AI) techniques in a distributed fashion is still challenge. Indeed, need continuously collect process variety environmental parameters, learn predict users’ needs...
Parkinson’s disease (PD) is one of the most unremitting and dynamic neurodegenerative human diseases. Various wearable IoT devices have emerged for detecting, diagnosing, quantifying PD, predominantly utilizing inertial sensors computational algorithms. However, their proliferation poses novel challenges concerning security, privacy, connectivity, power optimization. Clinically, continuous monitoring patients’ motor function imperative optimizing Levodopa (L-dopa) dosage while mitigating...
The advent of 6G networks and beyond calls for innovative paradigms to address the stringent demands emerging applications, such as extended reality autonomous vehicles, well technological frameworks like digital twin networks. Traditional cloud computing edge architectures fall short in providing their required flexibility, scalability, ultra-low latency. Cloud centralizes resources distant data centers, leading high latency increased network congestion, while computing, though closer...
Named Data Networking (NDN) is a promising communication paradigm for the challenging vehicular ad hoc environment. In particular, built-in pervasive caching capability was shown to be essential effective data delivery in presence of short-lived and intermittent connectivity. Existing studies have however not considered fact that multiple contents can transient, i.e., they expire after certain time period since were generated, so-called FreshnessPeriod NDN. this paper, we study effects...
The paper proposes a performance evaluation and comparison of G.729, AMR, fuzzy voice activity detection (FVAD) algorithms. was made using objective, psychoacoustic, subjective parameters. A highly varied speech database also set up to evaluate the extent which VADs depend on language, signal-to-noise ratio (SNR), or power level.
The Multi-access Edge Computing (MEC) paradigm and the Cellular Vehicle-to-Everything (C-V2X) technology prove to be good candidates address vehicular applications' demands of high-performing connectivity low-latency access computing storage resources. MEC provides cloud-like resources at network edge, i.e., (ME) host. While vehicles move around, a service application instance running on ME host may triggered another better support application's demands. As side effect, this migration...
In this article we focus on a special case of user-centric networks, spontaneous smartvphone-based SSNs, where the role end-user devices is played by smartphones that are "evolutionary" and more active in supporting communication services. SSNs present key features like spontaneity creation network redefinition devices’ order to make them continuously adaptive both user requirements. This work devoted identifying potential advantages also providing clear definition challenges issues need be...
Modern vehicles are equipped with several interconnected sensors on board for monitoring and diagnosis purposes; their availability is a main driver the development of novel applications in smart vehicle domain. In this paper, we propose Docker container-based platform as solution implementing customized car applications. Through proof-of-concept prototype-developed Raspberry Pi3 board-we show that virtualization approach not only viable but also effective flexible management parallel...
ABSTRACT The concept of smart city has emerged worldwide as a feasible answer to the challenges raised by increasing urbanisation. From technological point view, guaranteeing ubiquitous connectivity, reliable communications and seamless integration multiple network access technologies are mandatory in city. This is contrast with current infrastructure deployment several urban areas, which characterised lack connectivity coverage fragmentation networks that usually deployed different...
By enabling name-based routing and ubiquitous in-network caching, Named Data Networking (NDN) is a promising network architecture for sixth generation (6G) edge infrastructures. However, the performance of content retrieval largely depends on selected caching strategy, which implemented in distributed fashion by each NDN node. Previous research showed effectiveness decisions based popularity topology information. This paper presents new strategy networks metric called popularity-aware...