A5025706910- Opportunistic and Delay-Tolerant Networks
- Mobile Ad Hoc Networks
- Caching and Content Delivery
- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
- Human Mobility and Location-Based Analysis
- Transportation and Mobility Innovations
- Transportation Planning and Optimization
- Social Media and Politics
- Misinformation and Its Impacts
- Sharing Economy and Platforms
- COVID-19 Digital Contact Tracing
- Privacy-Preserving Technologies in Data
- Urban Transport and Accessibility
- Cooperative Communication and Network Coding
- Impact of Technology on Adolescents
- IoT and Edge/Fog Computing
- Age of Information Optimization
- Language and cultural evolution
- Educational and Psychological Assessments
- Data-Driven Disease Surveillance
- COVID-19 epidemiological studies
- Molecular Communication and Nanonetworks
- UAV Applications and Optimization
- Child Development and Digital Technology
Institute of Informatics and Telematics
2015-2024
Consorzio Pisa Ricerche
2024
National Research Council
2008-2024
University of Western Macedonia
2023
National Technical University of Athens
2023
Academia Sinica
2023
Brunel University of London
2022
Technische Universität Berlin
2022
École de Technologie Supérieure
2022
University of Ottawa
2022
In opportunistic networks the existence of a simultaneous path between sender and receiver is not assumed. This model (which fits well to pervasive networking environments) completely breaks main assumptions on which MANET routing protocols are built. Routing in usually based some form controlled flooding. But often this results very high resource consumption network congestion. paper we advocate context-based for networks. We provide general framework managing using context taking...
Mobile ad hoc networks enable communications between clouds of mobile devices without the need for a preexisting infrastructure. One their most interesting evolutions are opportunistic networks, whose goal is to also communication in disconnected environments, where general absence an end-to-end path sender and receiver impairs when legacy MANET networking protocols used. The key idea OppNets that mobility nodes helps delivery messages, because it may connect, asynchronously time, otherwise...
This paper deals with data dissemination in resource-constrained opportunistic networks, i.e., multi-hop ad hoc networks which simultaneous paths between endpoints are not available, general, for end-to-end communication. One of the main challenges is to make content available those regions network where interested users present, without overusing resources (e.g., by avoiding flooding). These should be identified dynamically, only exploiting local information exchanged nodes upon...
Abstract How can big data help to understand the migration phenomenon? In this paper, we try answer question through an analysis of various phases migration, comparing traditional and novel sources models at each phase. We concentrate on three phase describing state art recent developments ideas. The first includes journey , study flows stocks, providing examples where have impact. second discusses stay i.e. migrant integration in destination country. explore sets that be used quantify...
The rapid dynamics of COVID-19 calls for quick and effective tracking virus transmission chains early detection outbreaks, especially in the "phase 2" pandemic, when lockdown other restriction measures are progressively withdrawn, order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps being proposed large scale adoption by many countries. A centralized approach, where data sensed app all sent a nation-wide server, raises concerns about citizens' privacy...
Car sharing is a new mode of transportation that gaining increasing popularity with its promise to reduce traffic congestion, parking demands and pollution in our cities. Despite this potential, the properties car systems, e.g., terms spatiotemporal characterisation how customers use service, remain largely unexplored research literature. In order fill gap, work we analyse one month online car-sharing map data from large station-based carsharing operator France, which has 960 stations more...
In opportunistic networks data dissemination is an important, although not widely explored, topic. Since topologies are very challenged and unstable, data-centric approaches interesting direction to pursue. Data should be proactively cooperatively disseminated from sources towards possibly interested receivers, as receivers might aware of each other, never get in touch directly. this paper we consider a utility-based cooperative system which the utility defined based on social relationships...
Being able to recommend links between users in online social networks is important for connect with like-minded individuals as well the platforms themselves and third parties leveraging media information grow their business. Predictions are typically based on unsupervised or supervised learning, often simple yet effective graph topological information, such number of common neighbors. However, we argue that richer about personal structure might lead better predictions. In this paper, propose...
Opportunistic networks are wireless mobile in which a continuous end-to-end path between source and destination is not necessary. Messages stored at intermediate nodes, opportunistically forwarded when more suitable next hop towards the becomes available. A very interesting aspect understanding how users' mobility patterns impact on performance of routing protocols. Starting from this motivation, paper we take into consideration group models, whose movement have shown to be remarkably...
Abstract The exponential increase in the availability of large-scale mobility data has fueled vision smart cities that will transform our lives. truth is we have just scratched surface research challenges should be tackled order to make this a reality. Consequently, there an increasing interest among different communities (ranging from civil engineering computer science) and industrial stakeholders building knowledge discovery pipelines over such sources. At same time, widespread also raises...
For decades, researchers have been trying to understand how people form their opinions. This quest has become even more pressing with the widespread usage of online social networks and media, which seem amplify already existing phenomenon polarization. In this work, we study problem polarization assuming that opinions evolve according popular Friedkin-Johnsen (FJ) model. The FJ model is one few opinion dynamics models validated on small/medium-sized groups. First, carry out a comprehensive...
Fully decentralized learning is gaining momentum for training AI models at the Internet's edge, addressing infrastructure challenges and privacy concerns. In a machine system, data distributed across multiple nodes, with each node local model based on its respective dataset. The are then shared combined to form global capable of making accurate predictions new data. Our exploration focuses how different types network structures influence spreading knowledge - process by which nodes...
Electric car sharing services have been growing in popularity the last years but operators are striving to reduce costs of deploying and managing their charging infrastructure. Charging technologies that offer power potential achieve this goal at cost increasing management complexity. In order address problem, work we propose an efficient optimized methodology minimizes recharging when is used also takes into account customer satisfaction. To aim, formulate problem as a two-step optimization...
Opportunistic networks are challenging mobile ad hoc characterised by frequent disconnections and partitioning. In this paper we focus on data dissemination services, i.e. cases in which should be disseminated the network without a priori knowledge about set of intended destinations. We propose general autonomic framework that exploits information userspsila context social behaviour, to decide how replicate replace nodespsila buffers. Furthermore, our scheme explicitly takes into account...
Car sharing holds a promise of reducing traffic congestion and pollution in cities as well boosting the use public transport when used last-mile solution multimodal transportation scenario. Despite this huge potential, several problems related to deployment operations car systems have yet be fully addressed. In work, we focus on station-based define an optimization problem for its stations. The goal is find minimum cost (in terms number stations their capacity) that can guarantee pre-defined...