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Rizzo Gianluca

Adjoint-e scientifique HES

Main skills

Machine- to -Machine Communications

Energy efficiency and management

Adjoint-e scientifique HES

Phone: +41 58 606 92 05

Desktop: TP145

HES-SO Valais-Wallis - Haute Ecole de Gestion
Route de la Plaine 2, Case postale 80, 3960 Sierre, CH

Internet of Things - EPFL

IoT protocols and communications

Post-disaster communications and emergency networks - RECODIS Training school

Opportunistic communications
Emergency communications and services
Network resilience
Critical systems and communications

Computer Science Bachelor - UC3M University - Madrid

Mobile and wireless communications
local area networks (LAN)
Computer networking

2021

Storage capacity of opportunistic information dissemination systems

Scientifique ArODES

Rizzo Gianluca, Perez Palma Noelia, Ajmone Marsan Marco, Mancuso Vincenzo

IEEE transactions on mobile computing, To be published

Link to the publication

Summary:

Floating Content (FC) is a paradigm for localized infrastructure-less content dissemination, that aims at sharing information among nodes within a restricted geographical area by relying only on opportunistic content exchanges. FC provides the basis for the probabilistic spatial storage of shared information in a completely decentralized fashion, usually without support from dedicated infrastructure. One of the key open issues in FC is the characterization of its performance limits as functions of the system parameters, accounting for its reliance on volatile wireless exchanges and on limited user resources. This paper takes a first step towards tackling this issue, by elaborating a model for the storage capacity of FC, i.e., for the maximum amount of information that can be stored through the FC paradigm. The storage capacity of FC, and of similar probabilistic content dissemination systems, is evaluated with a powerful information theoretical approach, based on a mean field model of opportunistic information exchange. In addition, an extremely simple explicit approximate expression for storage capacity is derived. The numerical results generated by our analytical models are compared to the predictions of realistic simulations under different setups, proving the accuracy of our analytical approaches, and characterizing the properties of the FC storage capacity.

2020

Emergency networks for post-disaster scenarios

Chapter ArODES

Rizzo Gianluca, Ristov Sasko, Fahringer Thomas, Gusev Marjan, Dzanko Matija, Bilic Ivana, Esposito Christian, Braun Torsten

Dans Hutchison, David, Rak, Jacek, Guide to disaster-resilient communication networks (Pp. 271-298). 2020, Cham : Springer

Link to the publication

Summary:

The focus of this chapter is on communication (and partially, computing) solutions which allow satisfying demands from the immediate aftermath of a disaster until full restoration of pre-disaster communication infrastructure and services. As traffic demand might differ substantially from the one in the pre-disaster scenario, due to the specific needs of post-disaster scenarios, it appears evident that a simple restoration of existing infrastructure and services might not be sufficient to satisfy it, and that specific solutions are required. This chapter reviews the most relevant post-disaster scenarios, outlining a set of reference use cases and their communication requirements. Then, it presents an overview of the state of the art for emergency and post-disaster communications. Finally, it focuses on a set of specific solutions of special relevance for disaster scenarios, outlining the main research challenges which are open to date.

Routing in post-disaster scenarios

Chapter ArODES

Esposito Christian, Zhao Zhongliang, Rizzo Gianluca, Pop Florin, Apostol Elena, Leordeanu Catalin, Preda Stefan

Dans Hutchison, David, Rak, Jacek, Guide to disaster-resilient communication networks (Pp. 605-628). 2020, Cham : Springer

Link to the publication

Summary:

Current networks should provide disaster-resilience by coping with the possible failures and misbehaviours caused by massive natural or man-made disasters. This is necessary to keep a suitable level of Quality of Service after a disaster and to support the possible evacuation, rescue, assessment, and rescue operations within the affected area. Multiple possible methods and solutions can be put in place in a proactive and/or reactive manner to offer the required resilience degree. Among them, a proper routing algorithm can contribute to circumventing network elements damaged by the disaster or applying for spatial/temporal redundancy to guarantee effective communications. This chapter aims at presenting the main routing solutions to offer disaster-resilience communications, along with some related methods.

I-BAT :

Chapter ArODES

a data-intensive solution based on the Internet of Things to predict energy behaviors in microgrids

Jara Antonio, Dufour Luc, Rizzo Gianluca, Pawlowski Marcin Piotr, Genoud Dominique, Cotting Alexandre, Bocchi Yann, Chabbey François

Dans Management Association, Information Resources, Securing the internet of things: concepts, methodologies, tools, and applications (Pp. 630-654). 2020, Hershey : IGI Global

Link to the publication

Summary:

Microgrids present the challenge to reach a proper balance between local production and consumption, in order to reduce the usage of energy from external sources. This work presents a data-intensive solution to predict the energy behaviors. Thereby, control actions can be carried out such as decrease heating systems levels and switch of low-priority devices. For this purpose, this work has deployed an Advanced Metering Infrastructure (AMI) based on the Internet of Things (IoT) in the Techno-Pole testbed. This deployment provides the data from energy-related parameters such as load curves of the overall building through Non-Intrusive Load Monitoring (NILM), a wireless network of IoT-based smart meters to measure and control appliances, and finally the generated power curve by 2000 square meters of photovoltaic panels. The prediction model proposed is based on recognition of electrical signatures. These electrical signatures have been used to detect complex usage patterns. The modelled patterns have allowed to identify the work day of the week, and predict the load and generation curves for 15 minutes with accuracy over the 90%. This short-term prediction allows one to carry out the proper actions in order to balance the microgrid status (i.e., get a proper balance between production and consumption with respect to worked requirements).

2019

Game theoretic optimal user association in emergency networks

Chapter ArODES

Esposito Christian, Zhao Zhongliang, Alcarria Ramon, Rizzo Gianluca

Dans Coleri Ergen, Sinem, Palattella, Maria Rita, Scanzio, Stefano, Ad-Hoc, Mobile, and Wireless Networks : 18th International Conference on Ad-Hoc Networks and Wireless, ADHOC-NOW 2019, Luxembourg, Luxembourg, October 1–3, 2019, Proceedings (pp. 18-31). 2019, Cham : Springer

Link to the publication

Summary:

The availability of effective communications in post-disaster scenarios is key to implement emergency networks that enable the sharing of critical information and support the coordination of the emergency response. To deliver those levels of QoS suitable to these applications, it is vital to exploit the multiple communication opportunities made available by the progressive deployment of the 5G and Smart City paradigms, ranging from ad-hoc networks among smartphones and surviving IoT devices, to cellular networks but also drone-based and vehicle-based wireless access networks. Therefore, the user device should be able to opportunistically select the most convenient among them to satisfy the demands for QoS imposed by the applications and also minimize the power consumption. The driving idea of this paper is to leverage non-cooperative game theory to design such an opportunistic user association strategy in a post-disaster scenario using UAV ad-hoc networks. The adaptive game-theoretic scheme allows increasing of the QoS of the communication means by lowering the loss rate and also keeps moderate the energy consumption.

Floater :

Chapter ArODES

post-disaster communications via floating content

Bonvin Flavien, Manzo Gaetano, Esposito Christian, Braun Torsten , Rizzo Gianluca

Dans Coleri Ergen, Sinem, Palattella, Maria Rita, Scanzio, Stefano, Ad-Hoc, mobile, and wireless networks : 18th International Conference on Ad-Hoc Networks and Wireless, ADHOC-NOW 2019, Luxembourg, Luxembourg, October 1–3, 2019, Proceedings (9 p.). 2019, Cham : Springer

Link to the publication

Summary:

In the immediate aftermath of nature-based disasters such as earthquakes, fires, or floods, have a clear vision of the situation and the population involved is of main priority for rescue operations—it is a matter of life and death. But these disaster events may cause malfunctions in communication services making the exchange information impossible—the experienced delay sending a message in an overcrowded area is a shred of evidence. In this demo, we introduce Floater, a mobile awareness-based communication application for the immediate aftermath of a disaster, when ad hoc infrastructure support has not been deployed yet. Floater enables communications between peers in a common area without requiring the support of a cellular network. The application is developed for Android and it does not require an account or an Internet connection. Floater exploits local knowledge and constraints opportunistic replication (peer to peer) of information to build a global view of the involved area efficiently. The app is the first to implement Floating Content, an infrastructure-less communication paradigm based on opportunistic replication of a piece of content in a geographically constrained location and for a limited amount of time. The demo illustrates the feasibility and the main functionalities of Floater and presents disaster assistance use cases for supporting rescue operations.

Analytical models of floating content in a vehicular urban environment

Scientifique ArODES

Manzo Gaetano, Ajmone Marsan Marco, Rizzo Gianluca

Ad hoc networks, 15 May 2019, vol. 88, pp. 65-80

Link to the publication

Summary:

Among the many proposed opportunistic content sharing schemes, Floating Content (FC) is of special interest for the vehicular environment, not only for cellular traffic offloading, but also as a natural communication paradigm for location-based context-aware vehicular applications. Previously published results on the performance of vehicular FC have mostly focused on the conditions under which content persists over time in a given region of space, without addressing other important aspects of vehicular FC performance, such as the effectiveness with which content is replicated and made available, and the system conditions that enable good FC performance. This work presents a first analytical model of FC performance in vehicular networks in urban settings. It is based on a new synthetic mobility model (called District Mobility Model - DMM), and it does not require a detailed knowledge of the road grid geometry. We validate our model extensively, by comparison against numerical simulations based on real-world traces, and we prove our model accuracy under a variety of mobility patterns and traffic conditions. Our analytical and simulation results provide evidence of the effectiveness of theFC paradigm in realistic urban settings over a wide range of traffic conditions.

2018

A deep learning strategy for vehicular floating content management

Scientifique ArODES

Manzo Gaetano, Otálora Sebastian, Ajmon Marsan Marco, Rizzo Gianluca

ACM SIGMETRICS performance evaluation review, December 2018, vol. 46, no. 3

Link to the publication

Summary:

Floating Content (FC) is a communication paradigm for the local dissemination of contextualized information through D2D connectivity, in a way which minimizes the use of resources while achieving some specified performance target. Existing approaches to FC dimensioning are based on unrealistic system assumptions that make them, highly inaccurate and overly conservative when applied in realistic settings. In this paper, we present a first step towards the development of a cognitive approach to efficient dynamic management of FC. We propose a deep learning strategy for FC dimensioning, which exploits a Convolutional Neural Network (CNN) to efficiently modulate over time the resources employed by FC in a QoS-aware manner. Numerical evaluations show that our approach achieves a maximum rejection rate of 3%, and resource savings of 37.5% with respect to the benchmark strategy.

Stop and forward :

Scientifique ArODES

opportunistic local information sharing under walking mobility

Rizzo Gianluca, Mancuso Vincenzo, Ali Shahzad, Ajmone Marsan Marco

Ad Hoc networks, September 2018, vol. 78, pp. 54-72

Link to the publication

Summary:

In this paper we study an opportunistic geographically constrained information sharing paradigm known under the name Floating Content (FC), considering two different mobility models that describe the behav- ior of pedestrians. We assume that users carrying their smartphones walk from one location to another and then stop for a while. Information transfers take place in the periods when users pause between movements. We develop analytical models to compute the performance metrics that characterize FC in this case and we validate analytical results with data collected during an experiment performed in a uni- versity campus. The comparison proves the accuracy of our analytical models. Moreover, results unveil the key relevance for FC performance of group dynamics in user movements.

Creating predictive models for forecasting the accident rate in mountain roads using VANETs

Chapter ArODES

Bordel Borja, Alcaria Ramón, Rizzo Gianluca, Jara Antonio

Dans Guarda, Teresa, Rocha, Álvaro, Proceedings of the International Conference on Information Technology & Systems (ICITS 2018) (Pp. 319-329). 2018, Cham : Springer

Link to the publication

Summary:

Monitoring the road network status of an entire country in a visual way (as traditionally) is very hard, so different mechanisms to do it in an automatic manner have been investigated. In particular, nomadic pervasive sensing platforms based on VANETs have been recently deployed. However, the level of road damage is a relative variable, and it is necessary to predict the particular impact of the same in each case, in order to prioritize the conditioning works. Therefore, in this paper a predictive model for forecasting the accident rate in mountain roads, considering the measures previously obtained through a nomadic sensing environment (and through the weather office) is defined. The model considers the type of road under study as well as different analysis scales to perform the calculations. The model is based on Taylor’s series and multivariate functions. Real data related to Valais (Switzerland) road network is employed to construct and validate the proposed model.

2017

NOSE :

Chapter ArODES

a NOmadic Scalable Ecosystem for pervasive sensing, computing and communication

Dupont Audrey, Bocchi Yann, Rizzo Gianluca

Innovative mobile and internet services in ubiquitous computing : proceedings of the 11th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS-2017) (pp. 884-893). 2017, Cham, Springer : Cham, Springer

Link to the publication

Summary:

The Smart City paradigm is progressively shaping the way we inter-act with other citizens, with institutions, as well as the way in which all kind of resources are managed in an urban setting. However, the high cost of dedicated sensing, computing and communication infrastructure, represents one of the main obstacles to the adoption of the Smart City paradigm in small cities and large, dis-tributed districts, where resides the vast majority of the world population. In this paper we present a first implementation of a platform for nomadic sensing, which exploits the moving infrastructure of a city in order to implement the sensing, computing and communication functionalities required by smart city services, in a cost-effective way. This paper describes the architecture of the NOSE system, and the main lessons learned during the first steps of its implementation, deploy-ment, and experimental validation. In particular, we show that the main technical challenges are due to the lack of devices conceived for reliable mobile operation (sensing, computing) and to the difficulty in achieving high levels of accuracy in measurements while moving.

Geo-based content sharing for disaster relief applications

Chapter ArODES

Rizzo Gianluca, Neukirchen Helmut

International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing : IMIS 2017: Innovative Mobile and Internet Services in Ubiquitous Computing (pp. 894-903). 2017, Cham : Springer

Link to the publication

Summary:

Floating Content (FC) is an infrastructure-less communication paradigm based on opportunistic replication of a piece of content in a geographically constrained location and for a limited amount of time. The fact that it does not rely on any infrastructure makes it appealing for all those settings where infrastructure is not available or malfunctioning. In this paper we analyze its feasibility in the aftermath of a disaster, as a communication service in support of applications for rescue coordination and situational awareness. We analyze the possible scenarios of disaster, with a special focus on the local context (Iceland in our case), and on a subset of disasters which are of economic and social interests. We characterize the available communication network, its structure, and we individuate some criticalities which could play a key role in case of disaster. Specifically, we consider two services, related to two disaster scenarios. A first one is a form of situation awareness, without the support of fixed communication infrastructure. A second service is a form of infrastructure-less social driving application. The exchange of information between vehicles in the vicinity of a region interested by a disaster, enabled by such app, could help mitigate the impact of disasters and hazardous conditions on vehicle traffic. For both services, we describe a possible implementation using Floating Content. Finally, for these scenarios, we identify some research issues which stand in the way of a realistic, practical implementation based on FC.

2016

Integration in the Internet of Things :

Chapter ArODES

a semantic middleware approach to seamless integration of heterogeneous technologies

Olivieri Alex Carmine, Rizzo Gianluca, Bocchi Yann

Pervasive computing: next generation platforms for intelligent data collection (pp. 97-128). 2016, Amsterdam : Elsevier

Link to the publication

Summary:

The advent of the Internet of Things (IoT) opens a wide spectrum of interesting opportunities for the creation of novel scenarios. By incorporating communication devices such as sensors and actuators, into mainstream technologies, IoT enables a whole set of new services in almost any domain to be provided, from building automation to Smart City, E-Health, and assistive technologies, to name just a few. Nevertheless, the integration of different protocols and technologies remain to date one of the main challenges in IoT. The proposed solutions have evolved following the heterogeneity increment of the technologies employed for complex scenarios, passing from ad hoc solutions on a per-connection basis (N-to-N), to solutions that use frameworks as middleware (N-to-1). N-to-1 solutions that have shown interesting features use frameworks modeled on the Publish/Subscribe (P/S) design pattern. This type of framework provides facilities to manage the exchange of communications in the presence of a large number of heterogeneous communication technologies. However, how to efficiently interface those technologies with a common framework still remains an open issue. In this work we propose to surround a P/S framework with a layer that allows us to easily interface the various communication technologies with the framework. We describe how to model this layer, and we show how to implement simple adaptors that can be used to interface a technology with the selected P/S framework. We show how our approach makes the integration of heterogeneous technologies easier and how it enables scenarios’ reconfigurations even at run time. By using such an approach, designers can focus on the business logic of the scenario rather than on the low-level technological details of the integration. We inform the reader about the lessons learned throughout the realization of the proposed approach and about the tasks that we found more challenging in making the final system; by doing so we intend to inculcate in the reader some questions that could lead to some interesting future research in order to address some challenges that remain open.

Energy-optimal collaborative file distribution in wired networks

Scientifique ArODES

Rizzo Gianluca, et al.

Peer-to-peer networking and applications, Vol. 9, no. 38, pp. 1-20

Link to the publication

Summary:

The impact of the ICT sector in worldwide power consumption is an increasing concern, motivating the research community to devote an important effort to define novel energy efficient networking solutions. Despite file distribution is responsible for a major portion of the current Internet traffic, little effort has been dedicated to address the issue of its energy efficiency so far. Most of the previous literature focuses on optimizing the download time of file distribution schemes (e.g. centralized server-based or distributed peer-to-peer solutions) while it is yet unclear how to optimize file distribution schemes from the point of view of energy consumed. In this paper, we present a general modelling framework to analyze the energy consumption of file distribution systems. First, we show that the general problem of minimizing energy consumption in file distribution is NP-hard. Then, for restricted versions of the problem, we establish theoretical bounds to minimal energy consumption. Furthermore, we define a set of optimal algorithms for a variety of system settings, which exploit the service capabilities of hosts in a P2P fashion. We show that our schemes are capable of reducing at least 50 % of the energy consumed by traditional (yet largely used) centralized distribution schemes even when considering effects such as network congestion and heterogeneous access speed across nodes.

Internet Of Things in the 5G era :

Scientifique ArODES

enablers, architecture, and business models

Rizzo Gianluca

IEEE Journal on selected areas in communications, March 2016, vol. 34, no. 3, pp. 510-527

Link to the publication

Summary:

The IoT paradigm holds the promise to revolutionize the way we live and work by means of a wealth of new services, based on seamless interactions between a large amount of heterogeneous devices. After decades of conceptual inception of the IoT, in recent years a large variety of communication technologies has gradually emerged, reflecting a large diversity of application domains and of communication requirements. Such heterogeneity and fragmentation of the connectivity landscape is currently hampering the full realization of the IoT vision, by posing several complex integration challenges. In this context, the advent of 5G cellular systems, with the availability of a connectivity technology, which is at once truly ubiquitous, reliable, scalable, and cost-efficient, is considered as a potentially key driver for the yet-to emerge global IoT. In the present paper, we analyze in detail the potential of 5G technologies for the IoT, by considering both the technological and standardization aspects. We review the present-day IoT connectivity landscape, as well as the main 5G enablers for the IoT. Last but not least, we illustrate the massive business shifts that a tight link between IoT and 5G may cause in the operator and vendors ecosystem.

2014

Energy-optimal base station density in cellular access networks with sleep modes

Scientifique ArODES

Rizzo Gianluca, Marsan Marco, Rengarajan Balaji

Computer Networks, February 2015, vol. 78, pp. 152–163

Link to the publication

Summary:

Sleep modes are widely accepted as an effective technique for energy-efficient networking: by adequately putting to sleep and waking up network resources according to traffic demands, a proportionality between energy consumption and network utilization can be approached, with important reductions in energy consumption. Previous studies have investigated and evaluated sleep modes for wireless access networks, computing variable percentages of energy savings. In this paper we characterize the maximum energy saving that can be achieved in a cellular wireless access network under a given performance constraint. In particular, our approach allows the derivation of realistic estimates of the energy-optimal density of base stations corresponding to a given user density, under a fixed performance constraint. Our results allow different sleep mode proposals to be measured against the maximum theoretically achievable improvement. We show, through numerical evaluation, the possible energy savings in today?s networks, and we further demonstrate that even with the development of highly energy-efficient hardware, a holistic approach incorporating system level techniques is essential to achieving maximum energy efficiency.

2021

Gossip learning of personalized models for vehicle trajectory prediction

Conference ArODES

Gianluca Rizzo

Proceedings of the 2021 IEEE Wireless Communications and Networking Conference

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Rizzo Gianluca

Adjoint-e scientifique HES

Main skills

Computer networking

Machine- to -Machine Communications

IoT Internet Of Things

Vehicular Communications

Artificial Intelligence (AI)

Energy efficiency and management

Smart City

Adjoint-e scientifique HES