Social-aware Opportunistic Routing Protocol based on User's Interactions and Interests

Nowadays, routing proposals must deal with a panoply of heterogeneous devices, intermittent connectivity, and the users' constant need for communication, even in rather challenging networking scenarios. Thus, we propose a Social-aware Content-based Opportunistic Routing Protocol, SCORP, that considers the users' social interaction and their interests to improve data delivery in urban, dense scenarios. Through simulations, using synthetic mobility and human traces scenarios, we compare the performance of our solution against other two social-aware solutions, dLife and Bubble Rap, and the social-oblivious Spray and Wait, in order to show that the combination of social awareness and content knowledge can be beneficial when disseminating data in challenging networks

Networks of rehabilitation services for brain-injured people: The Italian perspective

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Impact of COVID-19 outbreak on rehabilitation services and Physical and Rehabilitation Medicine physicians' activities in Italy An official document of the Italian PRM Society (SIMFER)

Since the onset of the COVID-19 outbreak in Europe, Italy has been among the first affected countries, and the number of reported cases is still the highest in the continent. Since the beginning, the epidemic has had a huge impact in the acute sector of the healthcare system (especially the emergency departments, Intensive Care Units (ICUs), laboratory and imaging services), and these services have been experiencing increasing pressur

Investigation of FlexAlgo for User-driven Path Control

This paper examines the Flexible Algorithm (FlexAlgo) for its potential to enable user-driven path control in intra-domain Segment Routing (SR) enabled networks. FlexAlgo is a relatively new approach to intra-domain routing that allows multiple custom algorithms to coexist within a single domain. This capability has the potential to provide users with greater control over the paths their data takes through a network. The research includes a thorough investigation of the FlexAlgo approach, including an examination of its underlying techniques, as well as a practical implementation of a FlexAlgo-based solution. We depict performed experiments where we implemented FlexAlgo in three different scenarios. We also present how we developed an automated tool for users to control traffic steering using preferred metrics and constraints. The results of this investigation demonstrate the capabilities of FlexAlgo as a means of enabling user-driven path control and therefore increase security and trust of users towards the network.</p

Increasing the Transparency, Accountability and Controllability of multi-domain networks with the UPIN framework

Demands for a more trustworthy Internet are constantly increasing, in particular to support emerging critical services such as intelligent urban transport systems and smart energy grids. Such cyber-physical systems require more insight into the properties of network operators (e.g., in terms of the security posture of their equipment) and more control over which network operators transport their data, thus going well beyond the traditional security paradigm which the Internet security community currently focuses on (confidentiality, availability, and integrity). In this work-in-progress paper we propose the UPIN framework, which aims to fulfill these new trust requirements. The framework advances the state-of-the-art by defining components needed to incorporate transparency, accountability, and controllability into the Internet or other types of inter-domain networks. The framework is based on our analysis of a smart grid use case to understand the specific needs of critical service providers and a literature study on existing technologies. We also discuss our ongoing work, and the demands and challenges of implementing and deploying the UPIN framework

Evaluation of SCION for User-driven Path Control:a Usability Study

The UPIN (User-driven Path verification and control in Inter-domain Networks) project aims to implement a way for users of a network to control how their data is traversing it. In this paper we investigate the possibilities and limitations of SCION for user-driven path control. Exploring several aspects of the performance of a SCION network allows us to define the most efficient path to assign to a user, following specific requests. We extensively analyze multiple paths, specifically focusing on latency, bandwidth and data loss, in SCIONLab, an experimental testbed and implementation of a SCION network. We gather data on these paths and store it in a database, that we then query to select the best path to give to a user to reach a destination, following their request on performance or devices to exclude for geographical or sovereignty reasons. Results indicate our software is a viable option to offer users many paths to choose from, following a series of requests, and therefore perform user-driven path control in a SCION network.</p

Recommendations on how to establish evidence from auto-segmentation software in radiotherapy

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