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Antonella Molinaro
Researcher at Mediterranea University of Reggio Calabria
Publications - 375
Citations - 9282
Antonella Molinaro is an academic researcher from Mediterranea University of Reggio Calabria. The author has contributed to research in topics: Multicast & Quality of service. The author has an hindex of 43, co-authored 352 publications receiving 7955 citations. Previous affiliations of Antonella Molinaro include University of Messina & Polytechnic University of Milan.
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Journal ArticleDOI
LTE for vehicular networking: a survey
TL;DR: Standards and weaknesses of LTE as an enabling technology for vehicular communications are analyzed, and open issues and critical design choices are highlighted to serve as guidelines for future research in this hot topic.
Journal ArticleDOI
Information-centric networking for the internet of things: challenges and opportunities
Marica Amadeo,Claudia Campolo,Jose Quevedo,Daniel Corujo,Antonella Molinaro,Antonio Iera,Rui L. Aguiar,Athanasios V. Vasilakos +7 more
TL;DR: Potential ways toward the introduction of ICN in the context of IoT are critically discussed by surveying the current literature after presenting several possible motivations for the introduction.
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5G Network Slicing for Vehicle-to-Everything Services
TL;DR: The proposed slicing solutions involve the partition(s) of the core network and the radio access network resources, as well as configuration of the vehicular end-device functionality, to support different vehicle-to-everything use cases.
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Information-centric networking for connected vehicles: a survey and future perspectives
TL;DR: The analysis shows that, thanks to features like named content retrieval, innate multicast support, and in-network data caching, information-centric networking is positioned to meet the challenging demands of vehicular networks and their evolution.
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Modeling Broadcasting in IEEE 802.11p/WAVE Vehicular Networks
TL;DR: A new analytical model is designed for evaluating the broadcasting performance on CCH in IEEE 802.11p/WAVE vehicular networks and computes packet delivery probability as a function of contention window size and number of vehicles.