Publications

2023

1. GreenCrowd: Toward a Holistic Algorithmic Crowd Charging Framework

   Theofanis P. Raptis, and Luca Bedogni

   IEEE Pervasive Computing, 2023
2. Towards User Behavior Forecasting in Mobile Crowdsensing Applications

   Luca Bedogni, Matteo Buferli, and Davide Marchi

   In Proceedings of the 2023 ACM Conference on Information Technology for Social Good, 2023

   Abs DOI

   Mobile crowdsensing has rapidly become an interesting and useful methodology to collect data in modern smart cities, thanks to the pervasiveness of users mobile devices. Although there are many different proposals, opportunistic and participatory mobile crowdsensing are the most popular ones. They share a common goal, but require a different effort from the user, which often results in increased costs for the service provider. In this work we forecast user participation in mobile crowdsensing by leveraging a large dataset obtained from a real world application, which is key to understand whether there are areas in a city which need additional data obtained through raised incentives for participants or by other means. We then build a custom regressor trained on the dataset we have, which spans across several years in different cities in Italy, to predict the amount of reports in a given area at a given time. This allows service providers to preventively issue participatory tasks for workers in areas which do not meet a minimum number of measurements. Our results indicate that our model is able to predict the number of reports in an area with an average mean error depending on the precision needed, in the order of 10% for areas with a low number of reports.

3. A Joint Evaluation Methodology for Service Quality and User Privacy in Location Based Systems

   Luca Bedogni, Chiara Franceschini, and Federico Montori

   In Proceedings of the 2023 ACM Conference on Information Technology for Social Good, 2023

   Abs DOI

   Pervasive and ubiquitous applications provide novel and exciting services leveraging on a multitude of data obtained from people’s devices, adapting the computation to the context in which the user currently is. This improves the service quality of these applications, which can provide a more tailored configuration of the application itself depending on the user context and needs. In these scenarios privacy is of paramount importance, since users must be also be protected against the misuse of their personal data. Analyzing ubiquitous systems in terms of service quality and privacy issues is however a challenging task, due to the heterogeneity of the possible attacks, which makes it difficult to compare two applications. In this paper we propose a novel methodology to jointly evaluate the service quality and the privacy issues in ubiquitous applications in an extensible and comparable way, building on the data available in each part of the system to be analyzed, and defining service qualities and privacy issues so that they can be easily re-used in other analyses. Our evaluation on a candidate application highlights the benefits of our proposal, showing the dependency between privacy levels and service quality, and paving the way for a novel methodology for the definition of these scenarios.

4. Joint privacy and data quality aware reward in opportunistic Mobile Crowdsensing systems

   Luca Bedogni, and Federico Montori

   Journal of Network and Computer Applications, 2023

   Abs DOI

   Mobile Crowdsensing (MCS) is a paradigm involving a crowd of participants, called workers, into sensor data gathering campaigns through their personal devices. Some campaigns require workers to contribute with small amounts of geolocalized data at a constant rate, while being not directly aware of the global conditions of the system. In the scope of this reduced awareness, it is crucial to consider the privacy preservation of single workers at design time, as the disclosure of their exact location may lead to severe privacy issues. In this paper we design a privacy by design MCS framework that leverages variable rewards for workers willing to submit their location with an higher precision than others. Privacy is ensured through a negotiation phase that estimates the reward of the workers for different levels of location precision. This way, it helps them decide autonomously the spatial granularity of their data in order to preserve their privacy, yet obtaining a reward for their data. We design a metric based on k-anonymity to evaluate the level of privacy achieved, and validate the proposed framework over a real dataset. Our results show the efficacy of the framework as well as interesting effects caused by the topology of the environment.

5. Privacy preservation for spatio-temporal data in Mobile Crowdsensing scenarios

   Federico Montori, and Luca Bedogni

   Pervasive and Mobile Computing, 2023

   Abs DOI

   Mobile Crowdsensing has become an important paradigm in the last decade for on-demand monitoring scenarios in Smart Cities and vehicular networks, when the deployment of a dedicated sensor network is no longer affordable. To foster the participation of a large user base, it is common to reward them on top of the amount and the quality of data provided. Regardless of the MCS policy adopted, this requires the crowdsourcer to keep track of the participants. Since the contributed data inherently carries sensitive spatio-temporal information, privacy problems arise if a malicious entity gains access to it; still, in some cases, the spatio-temporal precision is crucial for the benefit of the application and cannot be distorted. In this paper we propose a privacy preserving framework for opportunistic MCS scenarios that includes data collection and rewarding phases. The framework both retains the precision of spatio-temporal information and limits the sensitivity of information disclosed through an algorithm that clusters the data points into low correlated sets. The framework is agnostic about how correlation is calculated, and we propose three exemplary correlation functions. We evaluate our framework against six real world datasets, assessing its efficacy and envisioning its implementation in practical deployments.

6. Automated Battery Power Fade Estimation for Fast Charge and Discharge Operations

   Emanuele Zarfati, and Luca Bedogni

   In CCNC 2023 WKSHPS: 3rd International Workshop on Communication and Networking for Swarms Robotics (ROBOCOM’23) (ROBOCOM 2023), Jan 2023

   Abs

   Pervasive devices are now part of daily lives for a multitude of human beings, due to their ability to perform simple to more complex tasks. Scenarios like Industry 4.0 and drone delivery are only few of the several ones which benefit from autonomous and modern smart devices. Due to their tasks, almost all of these devices are battery powered, with some of them for which it is hard to preventively maintain it. Most of the works which tackles this problem rely on processes which could be unpractical in the real world due to complexity, time or cost constraints. In this paper we propose a novel methodology which leverages few data obtained from normal charge and discharge cycles to diagnose the current battery for power fade faults and possibly perform maintenance before service interruption occurs. Tests performed on a real dataset demonstrate the feasibility of our approach.

7. Texting and Driving Recognition leveraging the Front Camera of Smartphones

   Federico Montori, Marco Spallone, and Luca Bedogni

   In 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC) (CCNC 2023), Jan 2023

   Abs

   The recognition of the activity of texting while driving is an open problem in literature and it is crucial for the security within the scope of automotive. This can bring to live new insurance policies and increase the overall safety on the roads. Many works in literature leverage smartphone sensors to do this, however it is shown that these methods take a considerable amount of time to perform a recognition with sufficient confidence. In this paper we propose to leverage the smartphone front camera to perform an image classification and recognize whether the subject is seated in the driver position or in the passenger position. We first applied standalone Convolutional Neural Networks with poor results, then we focused on object recognition-based algorithms to detect the presence and position of discriminant objects (i.e. the security belts and the car window). We then applied the model over short videos by classifying frame by frame until reaching a satisfactory confidence. Results show that we are able to reach around 90\% accuracy in only few seconds of the video, demonstrating the applicability of our method in the real world.

8. Computation Efficient ECG classification on resource constrained devices

   Andrea Arigliano, Andrea Malagoli, and Luca Bedogni

   In 2nd Workshop on Pervasive and Resource-Constrained Artificial Intelligence co-located with IEEE PerCom2023 (PerconAI 2023), Mar 2023

   Abs

   Wearable sensors and the plethora of Internet of Things devices are revolutionizing several aspects of everyday lives. In this domain, health monitoring applications are raising interest, thanks to their ability to track the vital parameters of the user wearing the device, and recognizing in advance potential issues health. Most of these solutions often require an internet connection to offload the data to an edge server, although this may not always be present, or use highly complex models which do not fit on constrained wearable devices. In this paper we propose a novel algorithm which tracks simple features in the ECG signal locally to the wearable device, with a lower memory footprint and computation resources needed compared to other proposal. Our extensive performance evaluation and comparison with the state of the art confirms the viability of our approach, as our proposal achieves more than 99% in accuracy on average.

2022

1. WISE: A Semantic and Interoperable Web of Things architecture for Smart Environments

   Luca Bedogni, Sebastiano Manfredini, Francesco Poggi, and 1 more author

   In 8th IEEE World Forum on Internet of Things, WF-IoT 2022, Yokohama, Japan, October 31 - November 4, 2022, Mar 2022

   Code
2. Re-identification Attack based on Few-Hints Dataset Enrichment for Ubiquitous Applications

   Andrea Artioli, Luca Bedogni, and Mauro Leoncini

   In 8th IEEE World Forum on Internet of Things, WF-IoT 2022, Yokohama, Japan, October 31 - November 4, 2022, Mar 2022
3. Pedometers for Smartphones: Analysis and Comparison of Real-Time Algorithms

   Giacomo Neri, Federico Montori, Lorenzo Gigli, and 3 more authors

   In 8th IEEE World Forum on Internet of Things, WF-IoT 2022, Yokohama, Japan, October 31 - November 4, 2022, Mar 2022
4. Location Contact Tracing: Penetration, Privacy, Position, and Performance

   Luca Bedogni, Federico Montori, and Flora D. Salim

   Digit. Gov. Res. Pract., Mar 2022

   DOI Code
5. Enabling Green Crowdsourced Social Delivery Networks in Urban Communities

   Kevin Choi, Luca Bedogni, and Marco Levorato

   Sensors, Mar 2022

   DOI
6. A Web Of Things Context-Aware IoT System leveraging Q-learning

   Luca Bedogni, and Francesco Poggi

   In 19th IEEE Annual Consumer Communications & Networking Conference, CCNC 2022, Las Vegas, NV, USA, January 8-11, 2022, Mar 2022

   DOI
7. A Hierarchical Architectural Model for IoT End-User Service Composition

   Federico Montori, Vincenzo Armandi, and Luca Bedogni

   In 19th IEEE Annual Consumer Communications & Networking Conference, CCNC 2022, Las Vegas, NV, USA, January 8-11, 2022, Mar 2022

   DOI
8. SIC-EDGE: Semantic Iterative ECG Compression for Edge-Assisted Wearable Systems

   Delaram Amiri, Janne Takalo-Mattila, Luca Bedogni, and 2 more authors

   In 23rd IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2022, Belfast, United Kingdom, June 14-17, 2022, Mar 2022

   DOI

2021

1. Anomaly Detection and Classification in Predictive Maintenance Tasks with Zero Initial Training

   Filippo Morselli, Luca Bedogni, Umberto Mirani, and 2 more authors

   IoT, Mar 2021

   Abs DOI

   The Fourth Industrial Revolution has led to the adoption of novel technologies and methodologies in factories, making these more efficient and productive. Among the new services which are changing industry, there are those based on machine learning algorithms, which enable machines to learn from their past observations and hence possibly forecast future states. Specifically, predictive maintenance represents the opportunity to understand in advance possible machine outages due to broken parts and schedule the necessary maintenance operations. However, in real scenarios predictive maintenance struggles to be adopted due to a multitude of variables and the heavy customization it requires. In this work, we propose a novel framework for predictive maintenance, which is trained online to recognize new issues reported by the operators. Our framework, tested on different scenarios and with a varying number and several kinds of sensors, shows recall levels above 0.85, demonstrating its effectiveness and adaptability.

2. Modelling Memory for Individual Re-identification in Decentralised Mobile Contact Tracing Applications

   Luca Bedogni, Shakila Khan Rumi, and Flora D. Salim

   Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., Mar 2021

   DOI Code
3. IoT End-User Service Composition via a Visual Programming Interface

   Federico Montori, Vincenzo Armandi, and Luca Bedogni

   In IEEE International Conference on Smart Computing, SMARTCOMP 2021, Irvine, CA, USA, August 23-27, 2021, Mar 2021

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4. Does the Venue of Scientific Conferences Leverage their Impact? A Large Scale study on Computer Science Conferences

   Luca Bedogni, Giacomo Cabri, Riccardo Martoglia, and 1 more author

   CoRR, Mar 2021

   DOI

2020

1. Performance evaluation of hybrid crowdsensing systems with stateful CrowdSenSim 2.0 simulator

   Federico Montori, Luca Bedogni, Claudio Fiandrino, and 2 more authors

   Comput. Commun., Mar 2020

   DOI
2. Identification of Social Aspects by Means of Inertial Sensor Data

   Luca Bedogni, and Giacomo Cabri

   Inf., Mar 2020

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3. Towards Green Crowdsourced Social Delivery Networks: A Feasibility Study

   Kevin Choi, Luca Bedogni, and Marco Levorato

   In IEEE Global Communications Conference, GLOBECOM 2020, Virtual Event, Taiwan, December 7-11, 2020, Mar 2020

   DOI
4. A Privacy Preserving Framework for Rewarding Users in Opportunistic Mobile Crowdsensing

   Federico Montori, and Luca Bedogni

   In 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020, Austin, TX, USA, March 23-27, 2020, Mar 2020

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5. Delivering IoT Smart Services through Collective Awareness, Mobile Crowdsensing and Open Data

   Federico Montori, Luca Bedogni, Gianluca Iselli, and 1 more author

   In 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020, Austin, TX, USA, March 23-27, 2020, Mar 2020

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2019

1. CrowdSenSim 2.0: a Stateful Simulation Platform for Mobile Crowdsensing in Smart Cities

   Federico Montori, Emanuele Cortesi, Luca Bedogni, and 3 more authors

   In Proceedings of the 22nd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, MSWiM 2019, Miami Beach, FL, USA, November 25-29, 2019, Mar 2019

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2. Permission-free Keylogging through Touch Events Eavesdropping on Mobile Devices

   Luca Bedogni, Andrea Alcaras, and Luciano Bononi

   In IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019, Kyoto, Japan, March 11-15, 2019, Mar 2019

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3. Vehicular Route Identification Using Mobile Devices Integrated Sensors

   Luca Bedogni, and Luciano Bononi

   In IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019, Kyoto, Japan, March 11-15, 2019, Mar 2019

   DOI
4. Texting and Driving Recognition Exploiting Subsequent Turns Leveraging Smartphone Sensors

   Luca Bedogni, Octavian Bujor, and Marco Levorato

   In 20th IEEE International Symposium on "A World of Wireless, Mobile and Multimedia Networks", WoWMoM 2019, Washington, DC, USA, June 10-12, 2019, Mar 2019

   DOI Code

2018

1. A Collaborative Internet of Things Architecture for Smart Cities and Environmental Monitoring

   Federico Montori, Luca Bedogni, and Luciano Bononi

   IEEE Internet Things J., Mar 2018

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2. Machine-to-machine wireless communication technologies for the Internet of Things: Taxonomy, comparison and open issues

   Federico Montori, Luca Bedogni, Marco Di Felice, and 1 more author

   Pervasive Mob. Comput., Mar 2018

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3. Rising User Privacy Against Predictive Context Awareness Through Adversarial Information Injection

   Luca Bedogni, and Marco Levorato

   In IEEE Global Communications Conference, GLOBECOM 2018, Abu Dhabi, United Arab Emirates, December 9-13, 2018, Mar 2018

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4. Dual-Mode Wake-Up Nodes for IoT Monitoring Applications: Measurements and Algorithms

   Luca Bedogni, Luciano Bononi, Roberto Canegallo, and 7 more authors

   In 2018 IEEE International Conference on Communications, ICC 2018, Kansas City, MO, USA, May 20-24, 2018, Mar 2018

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5. WiFi Meets Barometer: Smartphone-Based 3D Indoor Positioning Method

   Igor Bisio, Andrea Sciarrone, Luca Bedogni, and 1 more author

   In 2018 IEEE International Conference on Communications, ICC 2018, Kansas City, MO, USA, May 20-24, 2018, Mar 2018

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6. Temporal Reachability in Vehicular Networks

   Luca Bedogni, Marco Fiore, and Christian Glacet

   In 2018 IEEE Conference on Computer Communications, INFOCOM 2018, Honolulu, HI, USA, April 16-19, 2018, Mar 2018

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7. Custom Dual Transportation Mode Detection By Smartphone Devices Exploiting Sensor Diversity

   Claudia Carpineti, Vincenzo Lomonaco, Luca Bedogni, and 2 more authors

   In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018, Athens, Greece, March 19-23, 2018, Mar 2018

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2017

1. Dynamic Adaptive Video Streaming on Heterogeneous TVWS and Wi-Fi Networks

   Luca Bedogni, Angelo Trotta, Marco Di Felice, and 5 more authors

   IEEE/ACM Trans. Netw., Mar 2017

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2. Performance Assessment and Feasibility Analysis of IEEE 802.15.4m Wireless Sensor Networks in TV Grayspaces

   Luca Bedogni, Andreas Achtzehn, Marina Petrova, and 2 more authors

   ACM Trans. Sens. Networks, Mar 2017

   DOI
3. Indoor Use of Gray and White Spaces: Another Look at Wireless Indoor Communication

   Luca Bedogni, Fabio Malabocchia, Marco Di Felice, and 1 more author

   IEEE Veh. Technol. Mag., Mar 2017

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4. Achieving IoT Interoperability through a Service Oriented In-Home Appliance

   Federico Montori, Luca Bedogni, Filippo Morselli, and 1 more author

   In 2017 IEEE Global Communications Conference, GLOBECOM 2017, Singapore, December 4-8, 2017, Mar 2017

   DOI Code
5. Dynamic segment size selection in HTTP based adaptive video streaming

   Luca Bedogni, Marco Di Felice, and Luciano Bononi

   In 2017 IEEE Conference on Computer Communications Workshops, INFOCOM Workshops, Atlanta, GA, USA, May 1-4, 2017, Mar 2017

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6. Distributed Data Collection Control in Opportunistic Mobile Crowdsensing

   Federico Montori, Luca Bedogni, and Luciano Bononi

   In Proceedings of the 3rd Workshop on Experiences with the Design and Implementation of Smart Objects, SmartObjects@MobiCom 2017, Snowbird, UT, USA, October 16, 2017, Mar 2017

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7. Is WiFi suitable for energy efficient IoT deployments? A performance study

   Federico Montori, Riccardo Contigiani, and Luca Bedogni

   In 3rd IEEE International Forum on Research and Technologies for Society and Industry, RTSI 2017, Modena, Italy, September 11-13, 2017, Mar 2017

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8. Automotive Communications in LTE: A Simulation-Based Performance Study

   Federico Montori, Marco Gramaglia, Luca Bedogni, and 4 more authors

   In 86th IEEE Vehicular Technology Conference, VTC Fall 2017, Toronto, ON, Canada, September 24-27, 2017, Mar 2017

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2016

1. A Route Planner Service with Recharging Reservation: Electric Itinerary with a Click

   Luca Bedogni, Luciano Bononi, Marco Di Felice, and 2 more authors

   IEEE Intell. Transp. Syst. Mag., Mar 2016

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2. An Integrated Simulation Framework to Model Electric Vehicle Operations and Services

   Luca Bedogni, Luciano Bononi, Marco Di Felice, and 6 more authors

   IEEE Trans. Veh. Technol., Mar 2016

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3. Context-aware Android applications through transportation mode detection techniques

   Luca Bedogni, Marco Di Felice, and Luciano Bononi

   Wirel. Commun. Mob. Comput., Mar 2016

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4. A Self-Adapting Algorithm Based on Atmospheric Pressure to Localize Indoor Devices

   Luca Bedogni, Fabio Franzoso, and Luciano Bononi

   In 2016 IEEE Global Communications Conference, GLOBECOM 2016, Washington, DC, USA, December 4-8, 2016, Mar 2016

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5. Estimating urban mobility with open data: A case study in Bologna

   Valeria Caiati, Luca Bedogni, Luciano Bononi, and 3 more authors

   In IEEE International Smart Cities Conference, ISC2 2016, Trento, Italy, September 12-15, 2016, Mar 2016

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6. Enhancing TV White-Spaces Database with Unmanned Aerial Scanning Vehicles (UASVs)

   Angelo Trotta, Luca Bedogni, Marco Di Felice, and 2 more authors

   In Proceedings of the 2nd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use, DroNet@MobiSys 2016, Singapore, June 26, 2016, Mar 2016

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7. The Emergency Direct Mobile App: Safety Message Dissemination over a Multi-Group Network of Smartphones using Wi-Fi Direct

   Marco Di Felice, Luca Bedogni, and Luciano Bononi

   In Proceedings of the 14th ACM International Symposium on Mobility Management and Wireless Access, MobiWac 2016, Malta, November 13-17, 2016, Mar 2016

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8. From brown coal to a rural energy landscape - Orchestration of storage and electric mobility to foster decentralized energy management

   Alfredo D’Elia, Marco Di Felice, Luca Bedogni, and 3 more authors

   In 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, RTSI 2016, Bologna, Italy, September 7-9, 2016, Mar 2016

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9. On the integration of heterogeneous data sources for the collaborative Internet of Things

   Federico Montori, Luca Bedogni, and Luciano Bononi

   In 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, RTSI 2016, Bologna, Italy, September 7-9, 2016, Mar 2016

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10. SenSquare: A mobile crowdsensing architecture for smart cities

    Federico Montori, Luca Bedogni, Alain Di Chiappari, and 1 more author

    In 3rd IEEE World Forum on Internet of Things, WF-IoT 2016, Reston, VA, USA, December 12-14, 2016, Mar 2016

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11. Workshop message: CORAL 2016

    Marco Di Felice, Yue Frank Gao, and Luca Bedogni

    In 17th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2016, Coimbra, Portugal, June 21-24, 2016, Mar 2016

    DOI

2015

1. Impact of Interdisciplinary Research on Planning, Running, and Managing Electromobility as a Smart Grid Extension

   Alfredo D’Elia, Fabio Viola, Federico Montori, and 9 more authors

   IEEE Access, Mar 2015

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2. Connectivity recovery in post-disaster scenarios through Cognitive Radio swarms

   Angelo Trotta, Marco Di Felice, Luca Bedogni, and 2 more authors

   Comput. Networks, Mar 2015

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3. STEM-NET: How to deploy a self-organizing network of mobile end-user devices for emergency communication

   Gianluca Aloi, Luca Bedogni, Luciano Bononi, and 7 more authors

   Comput. Commun., Mar 2015

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4. The Bologna Ringway Dataset: Improving Road Network Conversion in SUMO and Validating Urban Mobility via Navigation Services

   Luca Bedogni, Marco Gramaglia, Andrea Vesco, and 3 more authors

   IEEE Trans. Veh. Technol., Mar 2015

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5. WhatIF Application: Moving Electrically without an Electric Vehicle

   Luca Bedogni, Luciano Bononi, Marco Di Felice, and 2 more authors

   In Proceedings of the 5th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, DIVANet 2015, Cancun, Mexico, November 2-6, 2015, Mar 2015

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6. Park Here! a smart parking system based on smartphones’ embedded sensors and short range Communication Technologies

   Rosario Salpietro, Luca Bedogni, Marco Di Felice, and 1 more author

   In 2nd IEEE World Forum on Internet of Things, WF-IoT 2015, Milan, Italy, December 14-16, 2015, Mar 2015

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7. On 3-dimensional spectrum sharing for TV white and Gray Space networks

   Luca Bedogni, Angelo Trotta, and Marco Di Felice

   In 16th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2015, Boston, MA, USA, June 14-17, 2015, Mar 2015

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2014

1. STEM-Net: an evolutionary network architecture for smart and sustainable cities

   Gianluca Aloi, Luca Bedogni, Marco Di Felice, and 7 more authors

   Trans. Emerg. Telecommun. Technol., Mar 2014

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2. Cognitive modulation and coding scheme adaptation for 802.11n and 802.11af networks

   Luca Bedogni, Marco Di Felice, Fabio Malabocchia, and 1 more author

   In 2014 IEEE GLOBECOM Workshops, Austin, TX, USA, December 8-12, 2014, Mar 2014

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3. A Collision-Free Contention Protocol Based on Pulse/Tone Signals

   Marcos F. Caetano, Jacir Luiz Bordim, Luca Bedogni, and 1 more author

   In Second International Symposium on Computing and Networking, CANDAR 2014, Shizuoka, Japan, December 10-12, 2014, Mar 2014

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4. Driving without anxiety: A route planner service with range prediction for the electric vehicles

   Luca Bedogni, Luciano Bononi, Alfredo D’Elia, and 3 more authors

   In International Conference on Connected Vehicles and Expo, ICCVE 2014, Vienna, Austria, November 3-7, 2014, Mar 2014

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5. A Mobile Application to Assist Electric Vehicles’ Drivers with Charging Services

   Luca Bedogni, Luciano Bononi, Alfredo D’Elia, and 3 more authors

   In Eighth International Conference on Next Generation Mobile Apps, Services and Technologies, NGMAST 2014, Oxford, United Kingdom, September 10-12, 2014, Mar 2014

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6. Self-organizing aerial mesh networks for emergency communication

   Marco Di Felice, Angelo Trotta, Luca Bedogni, and 2 more authors

   In 25th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communication, PIMRC 2014, Washington DC, USA, September 2-5, 2014, Mar 2014

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7. Smart meters with TV gray spaces connectivity: A feasibility study for two reference network topologies

   Luca Bedogni, Andreas Achtzehn, Marina Petrova, and 1 more author

   In Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2014, Singapore, June 30 - July 3, 2014, Mar 2014

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8. Distributed Mobile Femto-Databases for Cognitive Access to TV White Spaces

   Luca Bedogni, Marco Di Felice, Angelo Trotta, and 1 more author

   In IEEE 80th Vehicular Technology Conference, VTC Fall 2014, Vancouver, BC, Canada, September 14-17, 2014, Mar 2014

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9. Indoor communication over TV gray spaces based on spectrum measurements

   Luca Bedogni, Marco Di Felice, Fabio Malabocchia, and 1 more author

   In IEEE Wireless Communications and Networking Conference, WCNC 2014, Istanbul, Turkey, April 6-9, 2014, Mar 2014

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2013

1. Group communication on highways: An evaluation study of geocast protocols and applications

   Marco Di Felice, Luca Bedogni, and Luciano Bononi

   Ad Hoc Networks, Mar 2013

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2. Smartphones like stem cells: Cooperation and evolution for emergency communication in post-disaster scenarios

   Marco Di Felice, Luca Bedogni, Angelo Trotta, and 6 more authors

   In First International Black Sea Conference on Communications and Networking, BlackSeaCom 2013, Batumi, Georgia, July 3-5, 2013, Mar 2013

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3. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications

   Luca Bedogni, Angelo Trotta, Marco Di Felice, and 1 more author

   In 22nd International Conference on Computer Communication and Networks, ICCCN 2013, Nassau, Bahamas, July 30 - Aug. 2, 2013, Mar 2013

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4. STEM-mesh: Self-organizing mobile cognitive radio network for disaster recovery operations

   Marco Di Felice, Angelo Trotta, Luca Bedogni, and 5 more authors

   In 2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013, Sardinia, Italy, July 1-5, 2013, Mar 2013

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5. Re-establishing network connectivity in post-disaster scenarios through mobile cognitive radio networks

   Angelo Trotta, Marco Di Felice, Luca Bedogni, and 1 more author

   In The 12th Annual Mediterranean Ad Hoc Networking Workshop, MED-HOC-NET 2013, Ajaccio, France, June 24-26, 2013, Mar 2013

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6. Internet of things: a process calculus approach

   Ivan Lanese, Luca Bedogni, and Marco Di Felice

   In Proceedings of the 28th Annual ACM Symposium on Applied Computing, SAC ’13, Coimbra, Portugal, March 18-22, 2013, Mar 2013

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7. An interoperable architecture for mobile smart services over the internet of energy

   Luca Bedogni, Luciano Bononi, Marco Di Felice, and 8 more authors

   In IEEE 14th International Symposium on "A World of Wireless, Mobile and Multimedia Networks", WoWMoM 2013, Madrid, Spain, June 4-7, 2013, Mar 2013

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2012

1. DySCO: a dynamic spectrum and contention controlframework for enhanced broadcast communication invehicular networks

   Marco Di Felice, Luca Bedogni, and Luciano Bononi

   In Proceedings of the 10th ACM International Symposium on Mobility Management and Wireless Access, MOBIWAC ’12, Paphos, Cyprus, October 21-22, 2012, Mar 2012

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2. By train or by car? Detecting the user’s motion type through smartphone sensors data

   Luca Bedogni, Marco Di Felice, and Luciano Bononi

   In Proceedings of the IFIP Wireless Days Conference 2012, Ireland, November 21-23, 2012, Mar 2012

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2011

1. Dynamic backbone for fast information delivery invehicular ad hoc networks: an evaluation study

   Marco Di Felice, Luca Bedogni, and Luciano Bononi

   In Proceedings of the 8th ACM Symposium on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks, PE-WASUN 2011, Miami Beach, Florida, USA, October 31 - November 4, 2011, Mar 2011

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