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20152026
most citedMachine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey

301 citations · 1.5k across the 70 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.NI2018★ 1 cited

Practical Location Validation in Participatory Sensing Through Mobile WiFi Hotspots

Francesco Restuccia, Andrea Saracino, Fabio Martinelli

The reliability of information in participatory sensing (PS) systems largely depends on the accuracy of the location of the participating users. However, existing PS applications a…

cs.NI2018★ 2 cited

IncentMe: Effective Mechanism Design to Stimulate Crowdsensing Participants with Uncertain Mobility

Francesco Restuccia, Pierluca Ferraro, Simone Silvestri +2

Mobile crowdsensing harnesses the sensing power of modern smartphones to collect and analyze data beyond the scale of what was previously possible. In a mobile crowdsensing system,…

cs.NI2018★ 1 cited

FIRST: A Framework for Optimizing Information Quality in Mobile Crowdsensing Systems

Francesco Restuccia, Pierluca Ferraro, Timothy S. Sanders +3

Mobile crowdsensing allows data collection at a scale and pace that was once impossible. One of the biggest challenges in mobile crowdsensing is that participants may exhibit malic…

cs.NI2018

Low-Complexity Distributed Radio Access Network Slicing: Algorithms and Experimental Results

Salvatore D'Oro, Francesco Restuccia, Tommaso Melodia +1

Radio access network (RAN) slicing is an effective methodology to dynamically allocate networking resources in 5G networks. One of the main challenges of RAN slicing is that it is…

cs.CR2018★ 285 cited

Securing the Internet of Things in the Age of Machine Learning and Software-defined Networking

Francesco Restuccia, Salvatore D'Oro, Tommaso Melodia

The Internet of Things (IoT) realizes a vision where billions of interconnected devices are deployed just about everywhere, from inside our bodies to the most remote areas of the g…