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Claudio Casetti
Researcher at Polytechnic University of Turin
Publications - 266
Citations - 6132
Claudio Casetti is an academic researcher from Polytechnic University of Turin. The author has contributed to research in topics: Vehicular ad hoc network & Wireless network. The author has an hindex of 38, co-authored 251 publications receiving 5721 citations. Previous affiliations of Claudio Casetti include University of California, Los Angeles & Telecom Italia.
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Proceedings ArticleDOI
TCP westwood: Bandwidth estimation for enhanced transport over wireless links
TL;DR: TP Westwood is a sender-side modification of the TCP congestion window algorithm that improves upon the performance of TCP Reno in wired as well as wireless networks and is extremely effective in mixed wired and wireless networks where throughput improvements of up to 550% are observed.
Journal ArticleDOI
TCP westwood: end-to-end congestion control for wired/wireless networks
TL;DR: TCP Westwood is a sender-side modification of the TCP congestion window algorithm that improves upon the performance of TCP Reno in wired as well as wireless networks where throughput improvements of up to 550% are observed.
Journal ArticleDOI
Planning roadside infrastructure for information dissemination in intelligent transportation systems
TL;DR: It is remarked that a near-optimal coverage of mobile users can be achieved only when the characteristics of vehicular mobility are known, and it is observed that simple heuristics provide near-Optimal results even in large-scale scenarios.
Proceedings ArticleDOI
TCP Westwood: congestion window control using bandwidth estimation
TL;DR: A model for fair and friendly sharing of the bottleneck link and a Markov Chain performance model in presence of link errors/loss are proposed.
Proceedings ArticleDOI
Optimal deployment of charging stations for electric vehicular networks
Andrea Hess,Francesco Malandrino,Moritz Bastian Reinhardt,Claudio Casetti,Karin Anna Hummel,Jose M. Barcelo-Ordinas +5 more
TL;DR: A model for electric vehicles and their battery depletion, vehicle mobility, charging stations, and a solution for optimal placement of charging stations in a smart city are presented, which shows that an optimal solution of the charging infrastructure is derived based on mean trip times of electric vehicles.