João M. G. Duarte

This paper describes a possible approach to tackle this issue, based on combining three paradigms: Floating Content (FC), Software-Defined Networking (SDN), and Content-Centric Networking for Vehicular Ad-hoc Networks. Expand

This paper describes a possible approach to tackle this issue, based on combining three paradigms: Content-Centric Networking (CCN), Floating Content (FC) and Software-Defined Networking. Expand

This work investigates the topic of Vehicular Named Data Networking (VNDN). Expand

We propose MobiVNDN, a distributed framework for Vehicular Named-Data networking that addresses the effects of mobility and wireless communications in VNDN. Expand

We address the negative effects of network partitions, caused by low vehicle densities, on the performance of Vehicular Named-Data Networking (VNDN) applications. Expand

This work investigates the problem of content source mobility in Vehicular Named Data Networking (VNDN). Expand

We propose three cost-sensitive learning vector quantization (LVQ) approaches to incorporate cost matrix in classification. Expand

The developments in wireless sensor networks, mobile technology and cloud computing have been pushing forward the concept of intelligent or smart cities, and each day smarter infrastructures are being developed with the aim of enhancing the well-being of citizens. Expand

In this paper, three hybrid heuristic-based LVQ approaches which combine LVQ with genetic algorithm, simulated annealing and particle swarm optimization respectively, are proposed to minimize the total misclassified cost under the asymmetric cost preference. Expand