Gustavo Marfiay

Bio: Gustavo Marfiay is an academic researcher from University of Bologna. The author has contributed to research in topics: Application layer & Vehicular ad hoc network. The author has an hindex of 1, co-authored 1 publications receiving 12 citations.

On developing smart applications for VANETs: Where are we now? some insights on technical issues and open problems

Abstract: The advances in research on ad hoc networks, the availability of cheap radio interfaces (e.g. WiFi) and the increasing amount of electronic devices installed in vehicles have set the path for vehicular ad hoc networks. In the past few years, vehicular ad hoc network (VANET) research has addressed all layers, trying to optimize from the physical layer to the application layer to support the design of new possible application scenarios. It is often difficult to find a comprehensive approach to VANETs, due to their complexity. It is also often difficult to realize how far, technically, is the implementation of VANET-based application scenarios. We here propose to take one step in such direction, partially reviewing the research in this space and finding out how well can applications such as peer-to-peer file sharing and gaming can be supported. Our final scope is to provide an understanding of how far ahead in time, from the technological point of view, is the implementation of the cited scenarios on a distributed vehicular ad hoc network.

Vehicular Congestion Detection and Short-Term Forecasting: A New Model With Results

Abstract: While vehicular congestion is very often defined in terms of aggregate parameters, such as traffic volume and lane occupancies, based on recent findings, the interpretation that receives most credit is that of a state of a road where traversing vehicles experience a delay exceeding the maximum value typically incurred under light or free-flow traffic conditions. We here propose a new definition according to which a road is in a congested state (be it high or low) only when the likelihood of finding it in the same congested state is high in the near future. Based on this new definition, we devised an algorithm that, exploiting probe vehicles, for any given road 1) identifies if it is congested or not and 2) provides the estimation that a current congested state will last for at least a given time interval. Unlike any other existing approach, an important advantage of ours is that it can generally be applied to any type of road, as it neither needs any a priori knowledge nor requires the estimation of any road parameter (e.g., number of lanes, traffic light cycle, etc.). Further, it allows performing short-term traffic congestion forecasting for any given road. We present several field trials gathered on different urban roads whose empirical results confirm the validity of our approach.

Vehicular Adhoc Networks Handovers with Metaheuristic Algorithms

Abstract: VEHICULAR ad hoc networks (VANETs) are the self-configuring networks where the nodes are vehicles (equipped with on-board computers), elements of roadside infrastructure, sensors, and pedestrian personal devices. In the current state of the art in this field there is a need of studies on real outdoor experiments to validate the new VANETs optimizing protocols and applications. Thus exchanging up-to-date information among vehicles is the most salient feature of a VANET. In order to do so, the packets have to travel through the network from one node to the others & thus give rise to concept of inter VANET data handovers & VDTP (Vehicular data transfer Protocol). In this work, we have addressed the utility of metaheuristic algorithms (PSO, GA) for inter VANET sensor data handovers in order to study the performance analysis to maximize the throughput & reliability improvement in real VANET.

A Survey and Tutorial on Network Optimization for Intelligent Transport System Using the Internet of Vehicles

Abstract: The Internet of Things (IoT) has risen from ubiquitous computing to the Internet itself. Internet of vehicles (IoV) is the next emerging trend in IoT. We can build intelligent transportation systems (ITS) using IoV. However, overheads are imposed on IoV network due to a massive quantity of information being transferred from the devices connected in IoV. One such overhead is the network connection between the units of an IoV. To make an efficient ITS using IoV, optimization of network connectivity is required. A survey on network optimization in IoT and IoV is presented in this study. It also highlights the backdrop of IoT and IoV. This includes the applications, such as ITS with comparison to different advancements, optimization of the network, IoT discussions, along with categorization of algorithms. Some of the simulation tools are also explained which will help the research community to use those tools for pursuing research in IoV.

Web squared: paradigms and opportunities

Abstract: In this article, we explore the technical implications related to Web Squared paradigm. Representing an evolution of Web 2.0 that emphasizes the interaction between the cyber world and the real world, Web Squared contemplates the use of sensors to share huge amounts of data and foster the creation of new services. In this context, we analyze the different approaches and opportunities related to the use sensor-equipped smartphones to generate and distribute context related data both automatically and through appealing user applications (e.g., games). We discuss a general methodology to adopt when devising smartphone-based distributed sensing applications and explore both the issues and adopted solutions in this context. Finally, we identify unresolved technical challenges limiting the widespread deployment of Web Squared services, which deserve future research effort.