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2021 Contribution to book Open Access OPEN

Unmanned Aerial Vehicles for Agriculture: an overview of IoT-based scenarios
Bacco M., Barsocchi P., Gotta A., Ruggeri M.
The agricultural sector is experiencing a new revolution, giving birth to the so-called Agriculture 4.0 paradigm. It brings digital technologies in the field to support the farmers' work, enhancing the productivity of farms. In this chapter, the attention is focused on the role that both Internet of Things (IoT) and Unmanned Aerial Vehicles (UAVs) can play in this regard, whether used in a joint manner or not. We analyse the work being done both in recent research projects and in the literature on those topics, taking into account the role of long-range wireless communications to enable such scenarios, and the potential of 5G and the upcoming Multi-Access Edge Computing (MEC) technology, especially in rural areas, where the lack of connectivity is still hampering the process of digital transformation.Source: Autonomous Airborne Wireless Networks, edited by Muhammad Ali Imran, Oluwakayode Onireti, Shuja Ansari, Qammer H. Abbasi, pp. 217–235. Hoboken: Wiley-IEEE Press, 2021
DOI: 10.1002/9781119751717.ch11

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2021 Journal article Open Access OPEN

The digitalization of agriculture and rural areas: towards a taxonomy of the impacts
Rolandi S., Brunori G., Bacco M., Scotti I.
The literature about digitalization in agriculture and rural areas is vast and sectorial at the same time. Both international political institutions and practitioners are interested in promoting digital technology, indicating and describing potential benefits and risks. Meanwhile, academics analyse the actual and possible impacts of digital technologies using case studies. However, the extensive literature makes it challenging to derive a comprehensive synthesis of the possible impacts that digital technologies are and might generate in the rural domains. In the given context, the present work aims at contributing to the construction of a framework providing a first classification of the digital technologies impacts to use in both research and political agenda.Source: Sustainability (Basel) 13 (2021): 1–19. doi:10.3390/su13095172
DOI: 10.3390/su13095172
Project(s): DESIRA via OpenAIRE

See at: ISTI Repository Open Access | ISTI Repository Open Access | ISTI Repository Open Access | ISTI Repository Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | www.mdpi.com Open Access

2021 Contribution to book Open Access OPEN

Smart and Sustainable Food: What is ahead
Bacco M., Brunori G., Rolandi S., Scotti I.
Food systems are evolving to support sustainable food security. In this chapter, we aim at discussing the role that digital technologies play, especially those with the potential to provoke deep changes. The ongoing revolution in this field has given birth to the so-called Agrifood 4.0. Our interest lies also on the impact of digital technologies in the food chain, from production to consumption, especially the case of food loss and waste. In fact, the growing use of ICT in this field may generate game-changing effects, which can be positive or negative, affecting productivity, sustainability, and other aspects. We consider both present and future scenarios, looking at the potential of novel techniques - as for instance 3D printing of food, use of blockchain, and smart packaging - taking into account the sustainability criteria proposed by the Agenda 2030 of the UN to assess the changes on tasks and procedures all along the food chain.Source: edited by Rajeev Bhat, pp. 1–22. New York: Elsevier, 2021

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2021 Journal article Open Access OPEN

Digital transformation of agriculture and rural areas: a Socio-Cyber-Physical System framework to support responsibilisation
Rijswijk K., Klerkx L., Bacco M., Bartolini F., Bulten E., Debruyne L., Dessein J., Scotti I., Brunori G.
Digital technologies are often seen as an opportunity to enable sustainable futures in agriculture and rural areas. However, this digital transformation process is not inherently good as it impacts on many aspects (e.g. economic, environmental, social, technological, institutional) and their relations. The Responsible Research and Innovation approach calls for a better understanding and anticipation of the often unknown impacts. To meet this aim we have developed a framework that allows to gain insight on the relations between the social, the cyber and the physical, i.e. a Socio-Cyber-Physical System and have described conditions for a successful digital transformation of such a system. These are design of, and creating access to digital technologies, and navigating system complexity. This framework allows for a better problematisation of digital transformation and has been illustrated through an example of digital dairy farming. It supports an enhanced understanding of moral responsibilities regarding digital transformation, fitting within the Responsible Research and Innovation approach, as well as the succinct step of understanding who is responsible or accountable for the identified (positive or negative) impacts, i.e. responsibilisation.Source: Journal of rural studies 85 (2021): 79–90. doi:10.1016/j.jrurstud.2021.05.003
DOI: 10.1016/j.jrurstud.2021.05.003
Project(s): DESIRA via OpenAIRE

See at: ISTI Repository Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | www.sciencedirect.com Open Access

2021 Conference article Restricted

TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence
Bacco M., Carlini E., Cassarà P., Coppola M., Dazzi P., Gotta A.
This paper discusses the perspective of the H2020 TEACHING project on the next generation of autonomous applications running in a distributed and highly heterogeneous environment comprising both virtual and physical resources spanning the edge-cloud continuum. TEACHING puts forward a human-centred vision leveraging the physiological, emotional, and cognitive state of the users as a driver for the adaptation and optimization of the autonomous applications. It does so by building a distributed, embedded and federated learning system complemented by methods and tools to enforce its dependability, security and privacy preservation. The paper discusses the main concepts of the TEACHING approach and singles out the main AI-related research challenges associated with it. Further, we provide a discussion of the design choices for the TEACHING system to tackle the aforementioned challenges.Source: IEEE COINS 2021: IEEE International Conference on Omni-layer Intelligent systems, Online conference, 23-26/08/2021
Project(s): TEACHING via OpenAIRE

See at: CNR ExploRA Restricted

2021 Journal article Open Access OPEN

Input use efficiency management for Paddy Production Systems in India: a machine learning approach
Bhoi P. B., Wali V. S., Swain D. K., Sharma K., Bhoi A. K., Bacco M., Barsocchi P.
This research illustrates the technical efficiency of the pan-India paddy cultivation status obtained through a stochastic frontier approach. The results suggest that the mean technical efficiency varies from 0.64 in Gujarat to 0.95 in Odisha. Inputs like human labor, mechanical labor, fertilizer, irrigation and insecticide were found to determine the yield in paddy cultivation across India (except for Chhattisgarh). Inefficiency in the paddy production in Punjab, Bihar, West Bengal, Andhra Pradesh, Tamil Nadu, Kerala, Assam, Gujarat and Odisha in 2016-2017 was caused by technical inefficiency due to poor input management, as suggested by the significant ?2U and ?2v values of the stochastic frontier model. In addition, most of the farm groups in the study operated in the high-efficiency group (80-90% technical efficiency). No specific pattern of input use can be visualized through descriptive measures to give any specific policy implication. Thus, machine learning algorithms based on the input parameters were tested on the data in order to predict the farmers' efficiency class for individual states. The highest mean accuracy of 0.80 for the models of all of the states was achieved in random forest models. Among the various states of India, the best random forest prediction model based on accuracy was fitted to the input data of Bihar (0.91), followed by Uttar Pradesh (0.89), Andhra Pradesh (0.88), Assam (0.88) and West Bengal (0.86). Thus, the study provides a technique for the classification and prediction of a farmer's efficiency group from the levels of input use in paddy cultivation for each state in the study. The study uses the DES input dataset to classify and predict the efficiency group of the farmer, as other machine learning models in agriculture have used mostly satellite, spectral imaging and soil property data to detect disease, weeds and crops.Source: Agriculture (Basel) 11 (2021). doi:10.3390/agriculture11090837
DOI: 10.3390/agriculture11090837

See at: ISTI Repository Open Access | CNR ExploRA Open Access | www.mdpi.com Open Access

2020 Conference article Open Access OPEN

Using NLP to support terminology extraction and domain scoping: report on the H2020 DESIRA project
Bacco F. M., Brunori G., Dell'Orletta F., Ferrari A.
The ongoing phenomenon of digitisation is changing social and work life, with tangible effects on the socio-economic context. Understanding the impact, opportunities, and threats of digital transformation requires the identication of viewpoints from a large diversity of stakeholders, from policy makers to domain experts, and from engineers to common citizens. The DESIRA (Digitisation: Economic and Social Impacts in Rural Areas) EU H2020 project1 considers rural areas, with a strong focus on agricultural and forestry activities, and aims at assessing the impact of digital technologies in those domains by involving a large number of stakeholders, all across Europe, around 20 focal questions. Given the involvement of stakeholders with diverse background and skills, a primary goal of the project is to develop domain-specic and interactive reference taxonomies (i.e., structured classications of terms) to facilitate common understanding of technologies in use in each domain at today. The taxonomies, which aims at easing the learning of the meaning of technical and domain-specic terms, are going to be exploited by the stakeholders in 20 Living Labs built around the focal questions. This report paper focuses on the semi-automatic development of the taxonomies through natural language processing (NLP) techniques based on context-specic term extraction. Furthermore, we crawl Wikipedia to enrich the taxonomies with additional categories and denitions. We plan to validate the taxonomies through fieeld studies within the Living Labs.Source: Third Workshop on Natural Language Processing for Requirements Engineering, pp. 1–5, Pisa, Italy, 24 March 2020
Project(s): DESIRA via OpenAIRE

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2020 Journal article Open Access OPEN

Monitoring ancient buildings: real deployment of an IoT system enhanced by UAVs and virtual reality
Bacco M., Barsocchi P., Cassarà P., Germanese D., Gotta A., Leone G. R., Moroni D., Pascali M. A., Tampucci M.
The historical buildings of a nation are the tangible signs of its history and culture. Their preservation deserves considerable attention, being of primary importance from a historical, cultural, and economic point of view. Having a scalable and reliable monitoring system plays an important role in the Structural Health Monitoring (SHM): therefore, this paper proposes an Internet Of Things (IoT) architecture for a remote monitoring system that is able to integrate, through the Virtual Reality (VR) paradigm, the environmental and mechanical data acquired by a wireless sensor network set on three ancient buildings with the images and context information acquired by an Unmanned Aerial Vehicle (UAV). Moreover, the information provided by the UAV allows to promptly inspect the critical structural damage, such as the patterns of cracks in the structural components of the building being monitored. Our approach opens new scenarios to support SHM activities, because an operator can interact with real-time data retrieved from a Wireless Sensor Network (WSN) by means of the VR environment.Source: IEEE access (2020). doi:10.1109/ACCESS.2020.2980359
DOI: 10.1109/access.2020.2980359

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2020 Conference article Open Access OPEN

IoT as a digital game changer in rural areas: the DESIRA conceptual approach
Bacco M., Brunori G., Ferrari A., Koltsida P., Toli E.
Digital transformation is a process encompassing significant changes in both social and economical domains because of the adoption of digital technologies. The EU H2020 DESIRA (Digitisation: Economic and Social Impacts in Rural Areas) project is working on defining a methodology and creating a knowledge base to characterize digital transformation. The goal is to support those in charge of responding to digitization-related challenges in rural areas, especially considering agriculture and forestry. This work presents preliminary activities in the project aiming to identify (i) Digital Game Changers, like Internet of Things (IoT), facilitating the digital transformation; and (ii) a robust set of exemplary Application Scenarios (ASs). This task will support forthcoming activities aiming to assess the socio-economic impact of digital transformation in rural areas.Source: 2020 Global Internet of Things Summit (GIoTS), Dublin (virtual), 3-5/06/2020
DOI: 10.1109/giots49054.2020.9119674
Project(s): DESIRA via OpenAIRE

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2020 Bachelor thesis Restricted

Simulatore per trasmissioni multimediali Real-Time da drone a terra
Puddu M.
L'obiettivo di questo tirocinio è l'implementazione di un emulatore che riproduce la trasmissione di un video da un drone a terra. Il drone dispone di una videocamera. Al fine di rendere più robusta la comunicazione e avere maggiore disponibilità di banda, l'emulatore permette di creare un canale aggregato che sfrutta più canali fisici reali. A tale scopo un modulo di scheduling viene utilizzato per decidere quali e quanti canali utilizzare sulla base delle statistiche di ciascun canale fisico. Inoltre, per rendere la comunicazione anche più robusta, è prevista la possibilità di trasmettere il flusso multimediale su più canali contemporaneamente (in modo duplicato o non), così da aumentare la probabilità di una corretta ricezione a destinazione. Il modulo di scheduling dovrà utilizzare i canali in modo intelligente, ovvero sfruttare meno canali e meno repliche possibili, mantendo la migliore qualità video. A tale scopo un modulo definito di scheduling controller ha il compito di monitorare lo stato dei canali in termini di ritardo, jitter e tasso di perdita dei pacchetti, così da aggiornare attraverso una funzione di ottimizzazione i pesi dello scheduler. Il ricevitore si deve occupare di ordinare ed eventualmente scartare ricezioni multiple dovute alle repliche inviate sui canali.

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2020 Bachelor thesis Restricted

Analisi e Visualizzazione di Categorie Wikipedia Tramite Grafi
Fenu G. M.
Contesto Negli ultimi anni, le tecniche di sviluppo del software si sono evolute di pari passo con la crescita delle dimensioni e della complessità dei programmi. L'aumentare della complessità dei programmi ha reso necessario la definizione di modelli di sviluppo per il software, dalla sua concezione iniziale, fino alla sua completa realizzazione. Un generico modello di sviluppo software include le nozioni di specifica delle funzionalità del software, di design e di architettura software. La specifica delle funzionalità del software si concentra sulla definizione di requisiti del sistema, cioè bisogni e obiettivi che il sistema deve soddisfare. La necessità di definire bisogni e obiettivi, che rappresentino al meglio un sistema software, ha fatto nascere nuove aree di studio come l'Ingegneria dei Requisiti, e nuove figure professionali come l'analista di requisiti (noto anche come analista funzionale), che si occupa di identificare, raccogliere, documentare e analizzare i requisiti. Problema Durante il processo di raccolta dei requisiti vengono coinvolti anche domini diversi allo stesso momento, e gli analisti devono interagire con gli esperti del dominio per ottenere le conoscenze del dominio necessarie per sviluppare il sistema. A tal fine, vengono organizzati incontri con i soggetti interessati sotto forma di interviste, focus group o workshop. Durante queste riunioni, gli analisti dei requisiti e gli esperti di dominio potrebbero usare i loro gerghi specializzati e potrebbero sorgere ambiguità tra analisti ed esperti di dominio, nonché tra parti interessate appartenenti a domini diversi. L'ambiguità nella comunicazione è considerata un grave ostacolo per il trasferimento di conoscenze, dal momento che bisogni o aspetti del dominio comunicati in modo non corretto potrebbero portare alla definizione di requisiti scadenti, che possono causare problemi nelle fasi successive dello sviluppo. Soluzione Questa tesi propone di aiutare gli analisti dei requisiti e gli esperti di dominio nel creare uno spazio comune di conoscenza per facilitare la comunicazione durante le fasi di raccolta dei requisiti. Questo obiettivo viene raggiunto tramite la definizione di una tassonomia interattiva di termini tecnici, navigabile e collegata a Wikipedia. La tassonomia può essere visualizzata da esperti di dominio e analisti dei requisiti per esplorare i rispettivi ambiti terminologici. A tal fine, nel contesto di questa tesi è stato sviluppato il tool \textbf{WikiScan}, che permette di scaricare automaticamente categorie e pagine Wikipedia specifiche di uno o più domini, e di rappresentare le relazioni tra le pagine tramite un grafo visuale navigabile. Contributo WikiScan può aiutare gli utenti a esplorare attivamente i nuovi domini, partendo da termini noti ed espandendo le proprie conoscenze. Data una categoria di interesse, WikiScan permette di esplorare tutte le sotto-categorie e pagine Wikipedia, al fine di creare un indice navigabile ed evidenziare elementi comuni fra domini di partenza diversi, nonché di accedere a Wikipedia stessa per approfondimenti. Lo sviluppo del tool WikiScan fa parte del lavoro di tirocinio svolto all'interno dell'Istituto di Scienza e Tecnologie dell'Informazione (ISTI) del CNR, sede di Pisa.

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2020 Conference article Open Access OPEN

A simulation framework for QoE-Aware real-time video streaming in multipath scenarios
Bacco M., Cassarà P., Gotta A., Puddu M.
This work presents the ongoing development of a simulation/emulation framework for real-time multimedia transmissions in multichannel scenarios. The proposed software engine can be used to simulate the aggregation of multiple network links delivering a video flow from a video source, such as a camera mounted on-board an Unmanned Aerial Vehicle (UAV), to the indented receiver, such as the pilot on the ground. The software engine can also be used in real testbeds exploiting multiple physical links, such as 4G/5G cellular connections. The main aim of this novel software framework is to support the design, development, and test of different scheduling strategies to achieve real-time, good quality and fluidity, energy-efficient multimedia transmissions, by selecting the optimal subset of network channels able to meet the target Quality of Experience (QoE) at the receiver.Source: AdHoc-Now 2020 - The 19th International Conference on Ad Hoc Networks and Wireless, pp. 114–121, Bari, Italy, 19-21 October 2020
DOI: 10.1007/978-3-030-61746-2_9

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2020 Report Restricted

DESIRA - D1.3: Synthesis report on the taxonomy and inventory of digital game changers
Bacco F. M., Barsocchi P., Brunori G., Debruyne L., Ferrari A., Gotta A., Koltsida P., Lepore F., Orsini A., Rolandi S., Scotti I., Toli E.
This document describes a toolkit designed within the DESIRA project to support the work in the 20 Living Labs. This toolkit is composed of several parts: the inventory of digital tools, the set of application scenarios as derived from the inventory, a list of digital technologies with the potential of being digital game changers (DGCs), and a map of plausible socio-economic impacts associated with the selected potential DGCs. Several experts' interviews have been performed to enrich and support the toolkit.Source: Project report, DESIRA, Deliverable D1.3, pp.1–77, 2020
Project(s): DESIRA via OpenAIRE

See at: CNR ExploRA Restricted

2020 Report Restricted

DESIRA - D1.4 First set of practice abstracts
Bacco F. M.
This document provides the first set of 50 practice abstracts (PAs). Those have been compiled building on the collected digital tools and projects in WP1 activities, task 1.2 "Taxonomy and Inventory of Digital Game Changers". Each PA describes a digital tool or project in both textual and tabular forms, and highlights the distinctive key elements. In the first page, a short summary is presented, i) providing a short description of a tool or of the experience in a project, ii) highlighting the main achievements, results, or outcomes, and iii) outlining the plausible positive or negative impacts. Such a description is provided in both textual and tabular form, the latter prepared according to the format defined in the report D1.3, section 5. The table presented therein summarizes the key elements useful to provide an overview of each digital tool from both technological and socio-economic aspects. Both aspects build upon the use of the toolkit proposed in D1.3, and comprising the identification of the function of the digital tool, the reference application scenario, the high-level description of the CPS layers conceptually in use, the core digital technologies exploited by the digital tool, and finally the qualitative evaluations of plausible areas of socio-economic impacts. The aim is in providing descriptions relevant for practitioners in a plain language, pointing out key elements that may attract their interest.Source: Project report, DESIRA, Deliverable D1.4, pp.1–127, 2020
Project(s): DESIRA via OpenAIRE

See at: CNR ExploRA Restricted

2020 Report Open Access OPEN

CNR Foresight project - MAD4Future (Models, Algorithms, and Data for the Future) working group - background document
Colantonio S., Bacco F. M.
The Science and Technology Foresight Project seeks to define a medium to long-term vision - 5 to 30 years - in order to elaborate coherent research strategies relevant to socially critical problems in the field of environment, health, food, energy, security and transportation. Both, the holistic approach applied to the analysis of the topics, as well as the innovative format of the invitation-only workshops, enticed the participation of internationally acknowledged experts. This framework guaranteed all participants the necessary conditions to carry out an open interactive debate, consolidating a collective intelligence, which assisted in achieving a consensus on research priorities, knowledge gaps, and funding needs. This approach is designed to facilitate convergence towards common positions in order to address the social acceptability of future products and services and resultant market potential. A strong consensus among the workshops' participants during the past four years has been reached regarding the urgency of scientific and technological breakthroughs in a number of issues, strongly correlated to each other, which need to be tackled. The issues can be summarized as follows: (i) development of materials to perform different functions according to external environmental conditions and to respond to different requirements; (ii) interaction between AI, data, models, and knowledge in order to design learning machines that provide satisfactory explanations to humans for their decisions, continuously learn to respond to unknown conditions, and robustly handle adversarial examples; (iii) systems considered as a global entity with all kinds of dimensions and always analysed by parts with proper interfaces. The study of the interactions between the interfaces, the dynamics and the communication ways is of primary importance for understanding the functioning of the systems themselves, even if the nature of the interactions can be very varied and may require multi-scaling treatment. The aim of the present document is to identify foresight priorities within the topic "Models, Algorithms, and Data for the Future", which indicate a roadmap for the discussion in future workshops.Source: ISTI Working Papers, pp.1–9, 2020

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2019 Journal article Open Access OPEN

Reliable M2M/IoT data delivery from FANETs via satellite
Bacco F. M., Colucci M., Gotta A., Kourogiorgas C., Panagopoulos A.
The use of Unmanned Aerial Vehicles (UAVs) is rising in several application fields. This work deals with the communication challenges in UAV swarms, or Flying Ad-Hoc Networks (FANET), when taking into account non-line-of sight scenarios. The use of satellites is a necessity in such operating conditions, thus this work provides architectural considerations and performance assessments when several FANETs share an uplink Random Access (RA) satellite channel, fed with M2M/IoT traffic generated from onboard sensors, to be reliably delivered to a remote ground destination.Source: International journal of satellite communications and networking (Online) 37 (2019): 331–342. doi:10.1002/sat.1274
DOI: 10.1002/sat.1274

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2019 Conference article Open Access OPEN

Performance analysis of WebRTC-based video streaming over power constrained platforms
Bacco M., Catena M., De Cola T., Gotta A., Tonellotto N.
This work analyses the use of the Web Real-Time Communications (WebRTC) framework on resource-constrained platforms. WebRTC is a consolidated solution for real-time video streaming, and it is an appealing solution in a wide range of application scenarios. We focus our attention on those in which power consumption, size and weight are of paramount importance because of the so-called Size, Weight and Power (SWaP) requirements, such as the use case of Unmanned Aerial Vehicles (UAVs) delivering real-time video streams over WebRTC to peers on the ground. The testbed described in this work shows that the power consumption can be reduced by changing WebRTC default settings while maintaining comparable video quality.Source: Globecom 2018 - 2018 IEEE Global Communications Conference, Abu Dhabi, United Arab Emirates, 9-13 December 2018
DOI: 10.1109/glocom.2018.8647375
DOI: 10.5281/zenodo.2705727
DOI: 10.5281/zenodo.2705728
Project(s): BigDataGrapes via OpenAIRE

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2019 Journal article Open Access OPEN

IoT applications and services in space information networks
Bacco M., Boero L., Cassarà P., Colucci M., Gotta A., Marchese M., Patrone F.
The rate of traffic generated by Machine-type Communications (MTC) is growing at a very fast pace, putting under strong pressure existing network infrastructures. One of the most challenging tasks attoday is being able to support machine-to-machine (M2M)/Internet ofThings (IoT) data exchanges by providing connectivity between any pair of M2M devices all over the world. For this reason, we analyse the roleof Space Information Networks (SINs) in supporting MTC, in this work. Horizontal solutions are analysed herein in order to allow interworkingby acting as relay entities among different protocol stacks and services, vertically implemented over different network segments. We analyse thestill pending challenges hampering interworking, and propose a possibleprotocol stack for M2M/IoT communications based on the oneM2M standard. Eventually, this paper compares the performance achievableby using two of the most diffused application protocols, ConstrainedApplication Protocol (CoAP) and Message Queuing Telemetry Transport(MQTT), shedding light on their efficiency and differences.Source: IEEE wireless communications 26 (2019): 31–37. doi:10.1109/MWC.2019.1800297
DOI: 10.1109/mwc.2019.1800297

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2019 Journal article Open Access OPEN

TCP-based M2M traffic via random-access satellite links: throughput estimation
Bacco M., De Cola T., Giambene G., Gotta A.
Provisioning of IoT/M2M services over satellite has been experiencing a continuous growth in the last years, which is expected to further increase in the near future so as to meet the demands of users and enterprises. The design of a suitable network architecture is, hence, of paramount importance to properly take into account the requirements imposed by the technology available nowadays and to properly consider the interaction of the so-defined physical layer with transport and application layers. In this light, this paper analyses the use-case of TCP-based M2M services operating over DVB-RCS2 satellite links, where a Contention Resolution Diversity Slotted Aloha access scheme is applied. The main goal of the paper is to provide a thorough understanding of the interactions of TCP and random access schemes, recognised as key elements to enable efficient M2M services over satellite. In this regard, this paper also develops a novel TCP throughput model, which has been validated through extensive simulation campaigns, proving the value of the proposed theoretical framework and its applicability to study the performance of M2M services in more general satellite scenarios.Source: IEEE transactions on aerospace and electronic systems 55 (2019): 846–863. doi:10.1109/TAES.2018.2865150
DOI: 10.1109/taes.2018.2865150

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2019 Contribution to journal Open Access OPEN

Integration of 5G and aerospace networks by SDN and NFV techniques
Bacco M., Cassarà P., Gotta A.
5G trials are beginning in several parts of the world. The smarter core capabilities, along withincreased network capacity, very low delays and native support for machine-to-machinecommunications, open up several new application scenarios, while reinforcing existing ones.This work focuses on the joint use of aerospace platforms and 5G networks, surveying the hugeadvantages that their seamless integration can bring to the market, enabling ever more usecases and potentially providing coverage in low-population and low-income areas.Source: ERCIM news online edition 117 (2019): 26–27.

See at: ercim-news.ercim.eu Open Access | ISTI Repository Open Access | CNR ExploRA Open Access