1,721,055 research outputs found
A Network Coverage Algorithm for Message Broadcast in Vehicular Networks
n the recent years, ICT use in vehicular technology has expanded very fast. Inter-vehicle communication (IVC) is seen as the natural next step in this evolution whose availability will give rise to the next generation of smart vehicles. As this technology is deployed, a wide range of services varying from safety to entertainment will become factually accessible to passengers. Many of these envisaged services require a one-to-many communication model which demand for intelligent solutions able to propagate the message in areas of the network where it has not been heard before. To this end, we propose an enhancement of an existent optimal message propagation scheme proposed in the context of one dimensional vehicular networks, namely Fast-Broadcast. Our proposal generalizes the former with the objective of guiding message dissemination to an entire area of interest in generic road topologies. Our proposed scheme exploits bloom filter properties to further advance message propagation into the network. We contrast our approach with the original, lightweight state-of-the-art proposal, showing that it fulfills its design objectives
On Using Cashtags to Predict Companies Stock Trends
Different theories state that future market values strongly depend on psychological and financial factors: when investors feel positive moods they invest and the value of the stock market increases; conversely, when they feel negative moods they do not invest and the value of the stock market decreases. Today, researchers are trying to exploit the data publicly available in social media and, in particular, different researches showed a connection between Twitter messages and the stock market index. In this paper, we do not focus on a generic stock market index, nor we focus on the sole sentiment analysis. Instead, our goal is to investigate whether tweet messages can be used to predict the future trend (e.g., positive, negative or neutral) of the stocks of specific companies listed in the Dow Jones stock market. In particular, we focus on companies belonging to three different economic sectors (technology, service and health-care) and we consider the trend of 5 different metrics for each stock (e.g., highest, lowest, opening price, etc.) and the trend of 13 different variables of the tweets (e.g., volume, sentiment, tweets with links, etc.). Through an evaluation that employed more than 800,000 tweets, we show that some of the proposed ad-hoc prediction methods well predict (i.e., up to 82% of success) the next day trend of the stock values of specific companies
A mobile sensing and visualization platform for environmental data
The ubiquity of mobile technology has opened the door to the new era of mobile sensing. Through this new paradigm, physical phenomena can be observed in a distributed way, crowd-sourcing the data measurement tasks to smartphones and/or other popular smart wearables. Mobile sensing and wireless communications can hence be employed to gather data and generate new information and services, benefiting our society. As a proof-of-concept, we have developed a mobile sensing platform able to pervasively collect environmental data. To improve the quality of collected data we have also created an application for pedestrian navigation that works both on smartphones (also using Augmented Reality) and on smartwatches, thus ensuring an appropriate exposition of the mobile device (and its sensors) when collecting data. Furthermore, our navigation app is able to provide users with personalized pedestrian routes that take into account environmental parameters and not only the route length. Finally, we have also devised a web service able to provide graphical visualization and historical evolution of sensed data
End-to-end QoS Management in Self-Configuring TSN Networks
Industrial networked computing environments are expected to serve a wide range of applications with heterogeneous Quality-of-Service (QoS) requirements. This capability demands for novel, QoS-aware network management and configuration techniques resilient in the face of network changes. State-of-the-art approaches only focus on aspects related to the management of network devices. In this work, we move a step further, proposing an end-to-end QoS management approach in Time-Sensitive Networking (TSN) compliant networks, capable of handling reconfiguration events e.g., link-drop. Shedding some light on our proposal, we first discuss its functional building blocks, successively validating the approach on a real TSN testbed
Editorial: Smart Objects and Technologies
The journal Mobile Networks and Applications reflects the emerging symbiosis of portable computers and wireless networks, addressing the convergence of mobility, computing and information organization, access and management. In its special issues, the journal places an equal emphasis on various areas of nomadic computing, data management, related software and hardware technologies, and mobile user services, alongside more ‘classical’ topics in wireless and mobile networking. The journal documents practical and theoretical results which make a fundamental contribution
Performance evaluation of a file sharing DTN protocol with realistic mobility
Mobile Ad-hoc Networks (MANETs) exhibit unpredictable topology with heterogeneous node contact rates, high mobility and limited information. When dealing with such challenging environments, the mobility model has a key role in testing the performance and proving the expected behavior of routing algorithms. While synthetic mobility models have been largely used to measure quantitative aspects of routing protocols, they are not sufficient as they do not capture reliably the properties of movement in the real life scenarios. In this paper we present some experimentation done in THE-ONE simulation environment, involving our M2MShare, a peer-to-peer (P2P) delay tolerant file sharing platform for mobile networks. For testing purposes we have chosen the Working Day Movement (WDM) model which is shown to make a good approximation of human mobility patterns and provides the flexibility of configuring real life test scenarios. © 2011 IEEE
A Decentralized Architecture for Dynamic and Federated Access Control Facilitating Smart Tourism Services
Edge computing and the Internet of Things (IoT) are inextricably linked, and much work has been devoted to strengthening their symbiotic relationship, providing better coverage and quality of service. These solutions are typically vertically tailored, provider-specific and bound to work within one administrative domain, as they presume direct deployment and ownership of the resources controlled in a centralised fashion. This model has effectively created a myriad of physically interconnected elements, logically broken down into separate domain-specific islands, each possibly applying different security/privacy policies, device and process control mechanisms, service access and provisioning schemes etc. To address this data and service balkanization phenomena, complex and time-consuming interactions between multiple providers are required to set up and operate federation of resources across domains and/or providers. Without loss of generality, we envision a scenario where stakeholders in a Smart Tourism ecosystem participate in resource federations to enrich their services and exploit complementarities. In this context, we present a decentralized architecture, relying on Distributed Ledger Technology (DLT), providing a flexible and effective federated access control mechanism to data and services
Are Remote Play Streaming Systems Doomed to Fail? A Network Perspective
Digital games represent one of the most compelling fields in computer science, embodying a wide variety of technical challenges. Thanks to the evolution of streaming and broadband technology, new service provisioning schemes have emerged. Remote play streaming services represent an interesting case study deserving a thorough investigation. To this end, we present a network measurement study that can be useful to create traffic models and help researchers identify issues, guiding architecture and protocol design. Moving beyond latency and jitter issues, our purpose is to understand whether remote play streaming services can operate through regular connectivity or, on the contrary, are doomed to fail as happened to some pioneer providers. We have hence deployed a testbed to test the impact of network limitations and, different from previous studies, we particularly emphasize the role of the available bandwidth in this context
IPPODAMO: A digital twin support for smart cities facility management
The steady deployment of IoT is paving the road toward concrete implementations of the smart city concept, allowing public/private institutions to sense and model (near) real-time digital replicas of physical processes and environments. This Digital Twin (DT) could be used proactively, as a decision support system, providing insights into possible optimizations of processes in a smart city context. In this article, we present the design and main building blocks of a DT solution for the Urban Facility Management (UFM) process in the metropolitan area of Bologna, Italy. The Interactive Planning Platform for city District Adaptive Maintenance Operations (IPPODAMO) is a proof of concept solution consisting of a (distributed) multi-layer geographical system, fed with heterogeneous data sources originating from different urban data providers. The data are subject to continuous refinements and algorithmic processes, used to quantify and predict near-to-long term evolution of the urban activity level, exploited for planning purposes, scheduling urban maintenance operations and interventions
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