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Luca BEDOGNI

Ricercatore t.d. art. 24 c. 3 lett. B presso: Dipartimento di Scienze Fisiche, Informatiche e Matematiche sede ex-Matematica


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Pubblicazioni

2020 - A Privacy Preserving Framework for Rewarding Users in Opportunistic Mobile Crowdsensing [Relazione in Atti di Convegno]
Montori, Federico; Bedogni, Luca
abstract


2020 - Delivering IoT Smart Services through Collective Awareness, Mobile Crowdsensing and Open Data [Relazione in Atti di Convegno]
Montori, Federico; Bedogni, Luca; Iselli, Gianluca; Bononi, Luciano
abstract


2020 - Performance evaluation of hybrid crowdsensing systems with stateful CrowdSenSim 2.0 simulator [Articolo su rivista]
Montori, Federico; Bedogni, Luca; Fiandrino, Claudio; Capponi, Andrea; Bononi, Luciano
abstract


2019 - CrowdSensim 2.0: A stateful simulation platform for mobile crowdsensing in smart cities [Relazione in Atti di Convegno]
Montori, F.; Cortesi, E.; Bedogni, L.; Capponi, A.; Fiandrino, C.; Bononi, L.
abstract

Mobile crowdsensing (MCS) has become a popular paradigm for data collection in urban environments. In MCS systems, a crowd supplies sensing information for monitoring phenomena through mobile devices. Typically, a large number of participants is required to make a sensing campaign successful. For such a reason, it is often not practical for researchers to build and deploy large testbeds to assess the performance of frameworks and algorithms for data collection, user recruitment, and evaluating the quality of information. Simulations offer a valid alternative. In this paper, we present CrowdSenSim 2.0, a significant extension of the popular CrowdSenSim simulation platform. CrowdSenSim 2.0 features a stateful approach to support algorithms where the chronological order of events matters, extensions of the architectural modules, including an additional system to model urban environments, code refactoring, and parallel execution of algorithms. All these improvements boost the performances of the simulator and make the runtime execution and memory utilization significantly lower, also enabling the support for larger simulation scenarios. We demonstrate retro-compatibility with the older platform and evaluate as a case study a stateful data collection algorithm.


2019 - Dynamic spectrum access for machine to machine communications: Opportunities, standards, and open issues [Capitolo/Saggio]
Bedogni, L.; Di Felice, M.; Bononi, L.
abstract

Cognitive radio can be applied to a multitude of domains, one of which is M2M communication. Specifically, M2M communication refers to communication between devices without human intervention. Hence, devices should be able to organize themselves and run the communication protocol autonomously. If cognitive radio is used, tasks such as dynamic spectrum access (DSA), spectrum sensing, and alike present additional challenges compared to traditional network, as all the decision framework should be implemented and automatized in the devices. In this chapter, we focus on DSA techniques for M2M. The main difference from other kinds of communication is relative both to the energy efficiency and to the low protocol overhead, as devices should run for long periods of time and run without human intervention. At first we present related work from literature, categorizing the different tasks devices which want to leverage DSA on M2M have to perform. At the end of the chapter, we present a proof of concept of a general framework, which can be applied to different scenario concerning M2M, encompassing all the spectrum management and measurement tasks M2M devices should generally perform. Finally, we derive open challenges and future research directions concerning this scenario.


2019 - Permission-free Keylogging through Touch Events Eavesdropping on Mobile Devices [Relazione in Atti di Convegno]
Bedogni, L.; Alcaras, A.; Bononi, L.
abstract

Mobile devices are carried by many individuals in the world, which use them to communicate with friends, browse the web, and use different applications depending on their objectives. Normally the devices are equipped with integrated sensors such as accelerometers and magnetometers, through which application developers can obtain the inertial values of the dynamics of the device, and infer different behaviors about what the user is performing. As users type on the touch keyboard with one hand, they also tilt the smartphone to reach the area to be pressed. In this paper, we show that using these zero-permissions sensors it is possible to obtain the area pressed by the user with more than 80% of accuracy in some scenarios. Moreover, correlating subsequent areas related to keyboard keys together, it is also possible to determine the words typed by the user, even for long words. This would help understanding what user are doing, though raising privacy concerns.


2019 - Reinforcement learning-based spectrum management for cognitive radio networks: A literature review and case study [Capitolo/Saggio]
Di Felice, M.; Bedogni, L.; Bononi, L.
abstract

In cognitive radio (CR) networks, the cognition cycle, i.e., the ability of wireless transceivers to learn the optimal configuration meeting environmen- tal and application requirements, is considered as important as the hardware components which enable the dynamic spectrum access (DSA) capabilities. To this purpose, several machine learning (ML) techniques have been applied on CR spectrum and network management issues, including spectrum sensing, spectrum selection, and routing. In this paper, we focus on reinforcement learning (RL), an online ML paradigm where an agent discovers the optimal sequence of actions required to perform a task via trial-end-error interactions with the environment. Our study provides both a survey and a proof of concept of RL applications in CR networking. As a survey, we discuss pros and cons of the RL framework compared to other ML techniques, and we provide an exhaustive review of the RL-CR literature, by considering a twofold perspective, i.e., an applicationdriven taxonomy and a learning methodology-driven taxonomy. As a proof of concept, we investigate the application of RL techniques on joint spectrum sensing and decision problems, by comparing different algorithms and learning strategies and by further analyzing the impact of information sharing techniques in purely cooperative or mixed cooperative/competitive tasks.


2019 - Texting and driving recognition exploiting subsequent turns leveraging smartphone sensors [Relazione in Atti di Convegno]
Bedogni, L.; Bujor, O.; Levorato, M.
abstract

Texting while Driving has been reported as one of the major sources of inattention by car drivers, leading to an increased probability of severe road accidents. In fact, notifications, messages and other interactions with mobile devices may make the driver unaware of road and traffic events. To prevent or mitigate this issue, solutions have been proposed that either block the smartphone when inside the vehicle or recognize the activity to issue monetary fines at a later time. This paper proposes a classification framework capable to identify the location of a device within the vehicle using data from integrated sensors. This allow more selective countermeasures targeted specifically to mobile devices used by the driver, rather than by any person inside the vehicle. The framework extracts sensor data from the smartphone, computes ad-hoc features and feeds them to a neural network. Different from prior work, we demonstrate that accurate detection can be achieved even using only one device by combining subsequent turns of the vehicle.


2019 - Vehicular Route Identification Using Mobile Devices Integrated Sensors [Relazione in Atti di Convegno]
Bedogni, L.; Bononi, L.
abstract

Location based services are commonly used by several mobile applications and services, to provide content related to the area in which the user is located. This enables services such as navigation, particularly useful for vehicular applications, though possibly exposing private information about the user, which has to explicitly grant the location permission. However, smartphone have also many other sensors off the shelf, which currently do not require any permission to be used, and may be leveraged to track the users movements, hence the location, thus raising potentially serious privacy issues. In this paper we present a study which shows that by analyzing data obtained through the accelerometer and the magnetometer, it is possible to achieve less than 50 meters of localization accuracy even for long journeys, and 95% of accuracy on the road identification.


2018 - A Collaborative Internet of Things Architecture for Smart Cities and Environmental Monitoring [Articolo su rivista]
Montori, Federico; Bedogni, Luca; Bononi, Luciano
abstract


2018 - Custom Dual Transportation Mode Detection By Smartphone Devices Exploiting Sensor Diversity [Relazione in Atti di Convegno]
Carpineti, Claudia; Lomonaco, Vincenzo; Bedogni, Luca; Felice Marco, Di; Bononi, Luciano
abstract


2018 - Dual-mode wake-up nodes for IoT monitoring applications: Measurements and algorithms [Relazione in Atti di Convegno]
Bedogni, Luca; Bononi, Luciano; Canegallo, Roberto; Carbone, Fabio; Di Felice, Marco; Scarselli Eleonora, Franchi; Montori, Federico; Perilli, Luca; Cinotti Tullio, Salmon; Trotta, Angelo
abstract


2018 - Machine-to-machine wireless communication technologies for the Internet of Things: Taxonomy, comparison and open issues [Articolo su rivista]
Montori, Federico; Bedogni, Luca; Di Felice, Marco; Bononi, Luciano
abstract


2018 - Rising User Privacy Against Predictive Context Awareness Through Adversarial Information Injection [Relazione in Atti di Convegno]
Bedogni, Luca; Levorato, Marco
abstract


2018 - Temporal Reachability in Vehicular Networks [Relazione in Atti di Convegno]
Bedogni, Luca; Fiore, Marco; Glacet, Christian
abstract


2018 - WiFi Meets Barometer: Smartphone-Based 3D Indoor Positioning Method [Relazione in Atti di Convegno]
Bisio, Igor; Sciarrone, Andrea; Bedogni, Luca; Bononi, Luciano
abstract


2017 - Achieving IoT Interoperability through a Service Oriented In-Home Appliance [Relazione in Atti di Convegno]
Montori, Federico; Bedogni, Luca; Morselli, Filippo; Bononi, Luciano
abstract


2017 - Automotive Communications in LTE: a Simulation-based Performance Study [Relazione in Atti di Convegno]
Montori, F.; Gramaglia, M.; Bedogni, L.; Fiore, M.; Sheikh, F.; Bononi, L.; Vesco, A.
abstract


2017 - Distributed data collection control in opportunistic mobile crowdsensing [Relazione in Atti di Convegno]
Montori, Federico; Bedogni, Luca; Bononi, Luciano
abstract


2017 - Dynamic Adaptive Video Streaming on Heterogeneous TVWS and Wi-Fi Networks [Articolo su rivista]
Bedogni, Luca; Trotta, Angelo; Di Felice, Marco; Gao, Yue; Zhang, Xingjian; Zhang, Qianyun; Malabocchia, Fabio; Bononi, Luciano
abstract


2017 - Dynamic Segment Size Selection in HTTP Based Adaptive Video Streaming [Relazione in Atti di Convegno]
Bedogni, Luca; Di Felice, Marco; Bononi, Luciano
abstract

Video streaming takes the lion's share of network bandwidth, with a trend that will likely increase in the future. In the recent years, dynamic adaptive streaming has been developed to offer a smooth video stream with variable quality, depending on the performance of the network connection. At present, several content providers like Netflix, YouTube and Hulu, to name a few, already offer videos that can be streamed with a dynamic video quality. In this work we study the tradeoff of the video length to be downloaded, called segment size, and show the differences in terms of playback quality and reduced buffer outages. We then propose an algorithm able to exploit the network conditions, and adaptively select the video segment size to be downloaded. We analyze the benefits of our proposal in terms of increased playback quality and reduced buffer outages against classic fixed segment size solutions. Our result show that dynamically adapting the segment size can reduce buffer outages, while also increasing the quality streamed.


2017 - Indoor Use of Gray and White Spaces: Another Look at Wireless Indoor Communication [Articolo su rivista]
Bedogni, Luca; Malabocchia, Fabio; Di Felice, Marco; Bononi, Luciano
abstract


2017 - Is WiFi suitable for energy efficient IoT deployments? A performance study [Relazione in Atti di Convegno]
Montori, Federico; Contigiani, Riccardo; Bedogni, Luca
abstract


2017 - Performance assessment and feasibility analysis of IEEE 802.15.4m wireless sensor networks in TV grayspaces [Articolo su rivista]
Bedogni, Luca; Achtzehn, Andreas; Petrova, Marina; Mähönen, Petri; Bononi, Luciano
abstract


2016 - A Route Planner Service with Recharging Reservation: Electric Itinerary with a Click [Articolo su rivista]
Bedogni, Luca; Bononi, Luciano; Di Felice, Marco; D'Elia, Alfredo; Salmon Cinotti, Tullio
abstract


2016 - A self-adapting algorithm based on atmospheric pressure to localize indoor devices [Relazione in Atti di Convegno]
Bedogni, Luca; Franzoso, Fabio; Bononi, Luciano
abstract


2016 - An Integrated Simulation Framework to Model Electric Vehicles Operations and Services [Articolo su rivista]
Bedogni, Luca; Bononi, Luciano; Di Felice, Marco; D'Elia, Alfredo; Mock, Randolf; Morandi, Francesco; Rondelli, Simone; Salmon Cinotti, Tullio; Vergari, Fabio
abstract


2016 - An integrated traffic and power grid simulator enabling the assessment of e-mobility impact on the grid: a tool for the implementation of the smart grid/city concept [Relazione in Atti di Convegno]
Bedogni, Luca; Bononi, Luciano; Borghetti, Alberto; Bottura, Riccardo; D'Elia, Alfredo; Di Felice, Marco; Montori, Federico; Napolitano, Fabio; Nucci Carlo, Alberto; Salmon Cinotti, Tullio; Viola, Fabio
abstract


2016 - Context-Aware Android Applications through Transportation Mode Detection Techniques [Articolo su rivista]
Bedogni, Luca; Di Felice, Marco; Bononi, Luciano
abstract


2016 - Enhancing TV White-Spaces database with Unmanned Aerial Scanning Vehicles (UASVs) [Relazione in Atti di Convegno]
Trotta, Angelo; Bedogni, Luca; Di Felice, Marco; Bononi, Luciano; Natalizio, Enrico
abstract


2016 - Estimating urban mobility with open data: A case study in Bologna [Relazione in Atti di Convegno]
Caiati, Valeria; Bedogni, Luca; Bononi, Luciano; Ferrero, Francesco; Fiore, Marco; Vesco, Andrea
abstract


2016 - From brown coal to a rural energy landscape — Orchestration of storage and electric mobility to foster decentralized energy management [Relazione in Atti di Convegno]
D'Elia, Alfredo; Di Felice, Marco; Bedogni, Luca; Duckheim, Mathias; Mock, Randolf; Salmon Cinotti, Tullio
abstract


2016 - On the integration of heterogeneous data sources for the collaborative Internet of Things [Relazione in Atti di Convegno]
Montori, Federico; Bedogni, Luca; Bononi, Luciano
abstract


2016 - SenSquare: A mobile crowdsensing architecture for smart cities [Relazione in Atti di Convegno]
Montori, Federico; Bedogni, Luca; Di Chiappari, Alain; Bononi, Luciano
abstract


2016 - The Emergency Direct Mobile App: Safety Message Dissemination over a Multi-Group Network of Smartphones using Wi-Fi Direct [Relazione in Atti di Convegno]
Di Felice, Marco; Bedogni, Luca; Bononi, Luciano
abstract

Nowadays, the Wi-Fi Direct technology is supported by most of smartphones on the market, and provides a viable solution to guarantee opportunistic communication among group of devices in a 1-hop range. However, the current specifications of the standard do not support the inter-group communication, which constitutes a key requirement for content-delivery applications like the public safety ones. In this paper, we provide an in-depth analysis of the utilization of the Wi-Fi Direct technology for safety message dissemination over emergency and post-disaster scenarios. Three main contributions are provided. First, we show the experimental results of the Wi-Fi Direct technology on a test-bed composed of multiple heterogeneous smartphones, and we analyze the main factors affecting the system performance, like the network setup overhead, the communication range and the network throughput. Second, we investigate how to create multi-group Peer-to-Peer (P2P) networks by leveraging on the presence of P2P relay devices, which are in charge of offloading the data among different P2P groups, although being connected to only one P2P group at a time. An analytical model is proposed in order to derive the optimal group switching time which provides the best trade-off between the multihop delay and the delivery rate, by taking into account the buffer size of the P2P Group Owners (GO) devices. Finally, we describe the implementation of the network formation algorithm within the Emergency Direct mobile application, which allows the multi-hop dissemination of instantaneous and geo-localized alert messages among the smartphones located in the scenario of the emergency.


2015 - Connectivity recovery in post-disaster scenarios through Cognitive Radio swarms [Articolo su rivista]
Trotta, Angelo; Di Felice, Marco; Bedogni, Luca; Bononi, Luciano; Panzieri, Fabio
abstract


2015 - Impact of Interdisciplinary Research on Planning, Running, and Managing Electromobility as a Smart Grid Extension [Articolo su rivista]
D'Elia, Alfredo; Viola, Fabio; Montori, Federico; Di Felice, Marco; Bedogni, Luca; Bononi, Luciano; Borghetti, Alberto; Azzoni, Paolo; Bellavista, Paolo; Tarchi, Daniele; Mock, Randolf; Salmon Cinotti, Tullio
abstract


2015 - Integration of traffic and grid simulator for the analysis of e-mobility impact on power distribution networks [Relazione in Atti di Convegno]
Bedogni, L.; Bononi, L.; Borghetti, A.; Bottura, R.; D'Elia, A.; Salmon Cinotti, T.
abstract


2015 - On 3-dimensional spectrum sharing for TV white and Gray Space networks [Relazione in Atti di Convegno]
Bedogni, Luca; Trotta, Angelo; Di Felice, Marco
abstract


2015 - Park Here! a smart parking system based on smartphones' embedded sensors and short range Communication Technologies [Relazione in Atti di Convegno]
Salpietro, Rosario; Bedogni, Luca; Di Felice, Marco; Bononi, Luciano
abstract


2015 - STEM-NET: How to deploy a self-organizing network of mobile end-user devices for emergency communication [Articolo su rivista]
Aloi, G.; Bedogni, L.; Bononi, L.; Briante, O.; Di Felice, M.; Loscrì, V.; Pace, P.; Panzieri, F.; Ruggeri, G.; Trotta, A.
abstract


2015 - The Bologna ringway dataset: Improving road network conversion in SUMO and validating urban mobility via navigation services [Articolo su rivista]
Bedogni, Luca; Gramaglia, Marco; Vesco, Andrea; Fiore, Marco; Härri, Jérôme; Ferrero, Francesco
abstract


2015 - WhatIF Application: Moving Electrically without an Electric Vehicle [Relazione in Atti di Convegno]
Bedogni, Luca; Bononi, Luciano; Di Felice, Marco; D'Elia, Alfredo; Salmon Cinotti, Tullio
abstract


2014 - A collision-free contention protocol based on pulse/tone signals [Relazione in Atti di Convegno]
Caetano Marcos, F.; Bordim Jacir, L.; Bedogni, Luca; Bononi, Luciano
abstract


2014 - A mobile application to assist electric vehicles' drivers with charging services [Relazione in Atti di Convegno]
Bedogni, Luca; Bononi, Luciano; D'Elia, Alfredo; Di Felice, Marco; Rondelli, Simone; Salmon Cinotti, Tullio
abstract


2014 - Cognitive modulation and coding scheme adaptation for 802.11n and 802.11af networks [Relazione in Atti di Convegno]
Bedogni, Luca; Di Felice, Marco; Malabocchia, Fabio; Bononi, Luciano
abstract


2014 - Distributed mobile Femto-Databases for cognitive access to TV white spaces [Relazione in Atti di Convegno]
Bedogni, Luca; Di Felice, Marco; Trotta, Angelo; Bononi, Luciano
abstract


2014 - Driving without anxiety: A route planner service with range prediction for the electric vehicles [Relazione in Atti di Convegno]
Bedogni, Luca; Bononi, Luciano; D'Elia, Alfredo; Di Felice, Marco; Di Nicola, Marco; Salmon Cinotti, Tullio
abstract


2014 - Indoor communication over TV gray spaces based on spectrum measurements [Relazione in Atti di Convegno]
Bedogni, Luca; Di Felice, Marco; Malabocchia, Fabio; Bononi, Luciano
abstract


2014 - STEM-Net: an evolutionary network architecture for smart and sustainable cities [Articolo su rivista]
Aloi, Gianluca; Bedogni, Luca; Di Felice, Marco; Loscrì, Valeria; Molinaro, Antonella; Natalizio, Enrico; Pace, Pasquale; Ruggeri, Giuseppe; Trotta, Angelo; Roberto Zema, Nicola
abstract

The concept of smart city has emerged worldwide as a feasible answer to the challenges raised by the increasing urbanisation. From the technological point of view, guaranteeing ubiquitous connectivity, reliable communications and seamless integration of multiple network access technologies are mandatory in a smart city. This is in contrast with the current infrastructure deployment in several urban areas, which is characterised by lack of ubiquitous connectivity and coverage and by fragmentation of networks that are usually deployed by different operators and without any centralised control by the city authorities. In this paper, we look at the heterogeneity of devices and network technologies under a different perspective by not perceiving it as a limitation but as a potential to increase the connectivity in a smart city. We propose a new generation of network nodes, called stem nodes, based on the innovative idea of ‘stemness’, which pushes forward the well-known self-configuration and self-management concepts towards the idea of node mutation and evolution. We also deployed prototypes that demonstrate the stem-node architecture and basic operations in different hardware platforms of common communication devices (an Alix-based router, a laptop and a smartphone).


2014 - Self-organizing aerial mesh networks for emergency communication [Relazione in Atti di Convegno]
Di Felice, Marco; Trotta, Angelo; Bedogni, Luca; Chowdhury Kaushik, Roy; Bononi, Luciano
abstract


2014 - Smart meters with TV gray spaces connectivity: A feasibility study for two reference network topologies [Relazione in Atti di Convegno]
Bedogni, Luca; Achtzehn, Andreas; Petrova, Marina; Mahonen, Petri
abstract


2013 - An Interoperable Architecture for Mobile Smart Services over the Internet of Energy [Relazione in Atti di Convegno]
Bedogni, L.; Bononi, L.; Di Felice, M.; D'Elia, A.; Mock, R.; Montori, F.; Morandi, F.; Roffia, L.; Rondelli, S.; Salmon Cinotti, T.; Vergari, F.
abstract


2013 - Group Communication on Highways: An Evaluation Study of Geocast Protocols and Applications [Articolo su rivista]
Di Felice, M.; Bedogni, L.; Bononi, L.
abstract


2013 - Internet of Things: a process calculus approach [Relazione in Atti di Convegno]
Lanese, Ivan; Bedogni, Luca; Di Felice, Marco
abstract

This paper presents a process calculus specifically designed to model systems based on the Internet of Things paradigm. We define a formal syntax and semantics for the calculus, and show how it can be used to reason about relevant examples. We also define two notions of bisimilarity, one capturing the behavior seen by the end user of the system, and one allowing compositional reasoning.


2013 - Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications [Relazione in Atti di Convegno]
Bedogni, L.; Trotta, A.; Di Felice, M.; Bononi, L.
abstract


2013 - Re-establishing Network Connectivity in Post-Disaster Scenarios Through Mobile Cognitive Radio Networks [Relazione in Atti di Convegno]
Trotta, A.; Di Felice, M.; Bedogni, L.; Bononi, L.
abstract


2013 - STEM-Mesh: Self-Organizing Mobile Cognitive Radio Network for Disaster Recovery Operations [Relazione in Atti di Convegno]
Di Felice, M.; Trotta, A.; Bedogni, L.; Bononi, L.; Panzieri, F.; Ruggeri, G.; Loscrí, V.; Pace, P.
abstract


2013 - Smartphones Like Stem Cells: Cooperation and Evolution for Emergency Communication in Post-Disaster Scenarios [Relazione in Atti di Convegno]
Di Felice, M.; Bedogni, L.; Trotta, A.; Bononi, L.; Panzieri, F.; Ruggeri, G.; Aloi, G.; Loscri, V.; Pace, P.
abstract


2012 - By Train or By Car? Detecting the User’s Motion Type through Smartphone Sensors Data [Relazione in Atti di Convegno]
Bedogni, L; Di Felice, M; Bononi, L
abstract


2012 - DySCO: A DYnamic Spectrum and COntention Control Framework for Enhanced Broadcast Communication in Vehicular Networks [Relazione in Atti di Convegno]
Di Felice, M; Bedogni, L; Bononi, L
abstract


2011 - Dynamic backbone for fast information delivery in vehicular ad hoc networks: an evaluation study [Relazione in Atti di Convegno]
Di Felice, M.; Bedogni, L.; Bononi, L.
abstract