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Smart buildings use Internet of Things (IoT) sensors for monitoring indoor environmental parameters, such as temperature, humidity, luminosity, and air quality. Due to the huge amount of data generated by these sensors, data analytics and machine learning techniques are needed to extract useful and interesting insights, which provide the input for the building optimization in terms of energy-saving, occupants’ health and comfort. In this paper, we propose an IoT-based smart building (SB) solution for indoor environment management, which aims to provide the following main functionalities: monitoring of the room environmental parameters; detection of the number of occupants in the room; a cloud platform where virtual entities collect the data acquired by the sensors and virtual super entities perform data analysis tasks using machine learning algorithms; a control dashboard for the management and control of the building. With our prototype, we collected data for 10 days, and we built two prediction models: a classification model that predicts the number of occupants based on the monitored environmental parameters (average accuracy of 99.5%), and a regression model that predicts the total volatile organic compound (TVOC) values based on the environmental parameters and the number of occupants (Pearson correlation coefficient of 0.939).
Alessandro Floris; Simone Porcu; Roberto Girau; Luigi Atzori. An IoT-Based Smart Building Solution for Indoor Environment Management and Occupants Prediction. Energies 2021, 14, 2959 .
AMA StyleAlessandro Floris, Simone Porcu, Roberto Girau, Luigi Atzori. An IoT-Based Smart Building Solution for Indoor Environment Management and Occupants Prediction. Energies. 2021; 14 (10):2959.
Chicago/Turabian StyleAlessandro Floris; Simone Porcu; Roberto Girau; Luigi Atzori. 2021. "An IoT-Based Smart Building Solution for Indoor Environment Management and Occupants Prediction." Energies 14, no. 10: 2959.
Most Facial Expression Recognition (FER) systems rely on machine learning approaches that require large databases for an effective training. As these are not easily available, a good solution is to augment the databases with appropriate data augmentation (DA) techniques, which are typically based on either geometric transformation or oversampling augmentations (e.g., generative adversarial networks (GANs)). However, it is not always easy to understand which DA technique may be more convenient for FER systems because most state-of-the-art experiments use different settings which makes the impact of DA techniques not comparable. To advance in this respect, in this paper, we evaluate and compare the impact of using well-established DA techniques on the emotion recognition accuracy of a FER system based on the well-known VGG16 convolutional neural network (CNN). In particular, we consider both geometric transformations and GAN to increase the amount of training images. We performed cross-database evaluations: training with the "augmented" KDEF database and testing with two different databases (CK+ and ExpW). The best results were obtained combining horizontal reflection, translation and GAN, bringing an accuracy increase of approximately 30%. This outperforms alternative approaches, except for the one technique that could however rely on a quite bigger database.
Simone Porcu; Alessandro Floris; Luigi Atzori. Evaluation of Data Augmentation Techniques for Facial Expression Recognition Systems. Electronics 2020, 9, 1892 .
AMA StyleSimone Porcu, Alessandro Floris, Luigi Atzori. Evaluation of Data Augmentation Techniques for Facial Expression Recognition Systems. Electronics. 2020; 9 (11):1892.
Chicago/Turabian StyleSimone Porcu; Alessandro Floris; Luigi Atzori. 2020. "Evaluation of Data Augmentation Techniques for Facial Expression Recognition Systems." Electronics 9, no. 11: 1892.
Pediatric Acute-onset Neuropsychiatric Syndrome (PANS) is a clinical condition characterized by a sudden and dramatic obsessive-compulsive disorder with a suggested post-infectious immune-mediated etiology. This condition is accompanied by an extensive series of relatively serious neuropsychiatric symptoms. The diagnosis of PANS is made by "exclusion", as the individual PANS symptoms overlap with a multiplicity of psychiatric disorders with the onset in childhood. A number of researchers accumulated evidence to support the hypothesis that PANS was closely associated with a number of infections. In the last decade, metabolomics played an essential role in improving the knowledge of complex biological systems and identifying potential new biomarkers as indicators of pathological progressions or pharmacologic responses to therapy. The metabolome is considered the most predictive phenotype, capable of recognizing epigenetic differences, reflecting more closely the clinical reality at any given moment and thus providing extremely dynamic data. In the present work, the most recent hypothesis and suggested mechanisms of this condition are reviewed and the case of a 10 - year-old girl with PANS is described, before and after clarithromycin treatment. The main results of this case report are discussed from a metabolomics point of view. The alteration of several metabolic pathways concerning the microbial activity highlights the possible role of the microbiome in the development of PANS. Furthermore, different metabolic perturbations at the level of protein biosynthesis, energy and amino acid metabolisms are observed and discussed. Based on our observations, it is believed that metabolomics is a promising technology to unravel the mysteries of PANS in the near future.
Cristina Piras; Roberta Pintus; Dario Pruna; Angelica Dessì; Luigi Atzori; Vassilios Fanos. Pediatric Acute-onset Neuropsychiatric Syndrome and Mycoplasma Pneumoniae Infection: A Case Report Analysis with a Metabolomics Approach. Current Pediatric Reviews 2020, 16, 183 -193.
AMA StyleCristina Piras, Roberta Pintus, Dario Pruna, Angelica Dessì, Luigi Atzori, Vassilios Fanos. Pediatric Acute-onset Neuropsychiatric Syndrome and Mycoplasma Pneumoniae Infection: A Case Report Analysis with a Metabolomics Approach. Current Pediatric Reviews. 2020; 16 (3):183-193.
Chicago/Turabian StyleCristina Piras; Roberta Pintus; Dario Pruna; Angelica Dessì; Luigi Atzori; Vassilios Fanos. 2020. "Pediatric Acute-onset Neuropsychiatric Syndrome and Mycoplasma Pneumoniae Infection: A Case Report Analysis with a Metabolomics Approach." Current Pediatric Reviews 16, no. 3: 183-193.
This paper investigates the possibility to estimate the perceived Quality of Experience (QoE) automatically and unobtrusively by analyzing the face of the consumer of video streaming services, from which facial expression and gaze direction are extracted. If effective, this would be a valuable tool for the monitoring of personal QoE during video streaming services without asking the user to provide feedback, with great advantages for service management. Additionally, this would eliminate the bias of subjective tests and would avoid bothering the viewers with questions to collect opinions and feedback. The performed analysis relies on two different experiments: i) a crowdsourcing test, where the videos are subject to impairments caused by long initial delays and re-buffering events; ii) a laboratory test, where the videos are affected by blurring effects. The facial Action Units (AU) that represent the contractions of specific facial muscles together with the position of the eyes’ pupils are extracted to identify the correlation between perceived quality and facial expressions. An SVM with a quadratic kernel and a k-NN classifier have been tested to predict the QoE from these features. These have also been combined with measured application-level parameters to improve the quality prediction. From the performed experiments, it results that the best performance is obtained with the k-NN classifier by combining all the described features and after training it with both the datasets, with a prediction accuracy as high as 93.9% outperforming the state of the art achievements.
Simone Porcu; Alessandro Floris; Jan-Niklas Voigt-Antons; Luigi Atzori; Sebastian Moller. Estimation of the Quality of Experience During Video Streaming From Facial Expression and Gaze Direction. IEEE Transactions on Network and Service Management 2020, 17, 2702 -2716.
AMA StyleSimone Porcu, Alessandro Floris, Jan-Niklas Voigt-Antons, Luigi Atzori, Sebastian Moller. Estimation of the Quality of Experience During Video Streaming From Facial Expression and Gaze Direction. IEEE Transactions on Network and Service Management. 2020; 17 (4):2702-2716.
Chicago/Turabian StyleSimone Porcu; Alessandro Floris; Jan-Niklas Voigt-Antons; Luigi Atzori; Sebastian Moller. 2020. "Estimation of the Quality of Experience During Video Streaming From Facial Expression and Gaze Direction." IEEE Transactions on Network and Service Management 17, no. 4: 2702-2716.
Social Internet of Things comes as a new paradigm of Internet of Things to solve the problems of network discovery, navigability and service composition. It aims to socialize the IoT devices and shape the interconnection between them into social interaction just like human beings. In IoT scenarios, a device can offer multiple services and different devices can offer the same services with different parameters and interest factors. The proliferation of offered services led to difficulties during service filtering and customization, this problem is known as services explosion. The selection of a suitable service that fits the requirements of the applications and devices is a challenging task. Several works have addressed service discovery, composition and selection in IoT. However, these works did not emphasize on the fact that incorporating the users’ social features can increase the efficiency of the recommended services and help us to offer context-aware services. In this paper, we present a service recommendation system that takes advantage of the social relationships between devices’ owners, where the recommendation is based on the different relationships between the service requester and service provider. Experimental results show, in the context of IoT, that incorporating the users’ social relationships in service recommendation increases the accuracy and diversity of the offered services.
Amar Khelloufi; Huansheng Ning; Sahraoui Dhelim; Tie Qiu; Jianhua Ma; Runhe Huang; Luigi Atzori. A Social-Relationships-Based Service Recommendation System for SIoT Devices. IEEE Internet of Things Journal 2020, 8, 1859 -1870.
AMA StyleAmar Khelloufi, Huansheng Ning, Sahraoui Dhelim, Tie Qiu, Jianhua Ma, Runhe Huang, Luigi Atzori. A Social-Relationships-Based Service Recommendation System for SIoT Devices. IEEE Internet of Things Journal. 2020; 8 (3):1859-1870.
Chicago/Turabian StyleAmar Khelloufi; Huansheng Ning; Sahraoui Dhelim; Tie Qiu; Jianhua Ma; Runhe Huang; Luigi Atzori. 2020. "A Social-Relationships-Based Service Recommendation System for SIoT Devices." IEEE Internet of Things Journal 8, no. 3: 1859-1870.
Alcardo Alex Barakabitze; Nabajeet Barman; Arslan Ahmad; Saman Zadtootaghaj; Lingfen Sun; Maria G. Martini; Luigi Atzori. QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey. IEEE Communications Surveys & Tutorials 2019, 22, 526 -565.
AMA StyleAlcardo Alex Barakabitze, Nabajeet Barman, Arslan Ahmad, Saman Zadtootaghaj, Lingfen Sun, Maria G. Martini, Luigi Atzori. QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey. IEEE Communications Surveys & Tutorials. 2019; 22 (1):526-565.
Chicago/Turabian StyleAlcardo Alex Barakabitze; Nabajeet Barman; Arslan Ahmad; Saman Zadtootaghaj; Lingfen Sun; Maria G. Martini; Luigi Atzori. 2019. "QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey." IEEE Communications Surveys & Tutorials 22, no. 1: 526-565.
Virtualization technologies are characterizing major advancements in the Internet of Things (IoT) arena, as they allow for achieving a cyber-physical world where everything can be found, activated, probed, interconnected, and updated at both the virtual and the physical levels. We believe these technologies should apply to human users other than things, bringing us the concept of the Virtual User (VU). This should represent the virtual counterpart of the IoT users with the ultimate goal of: (i) avoiding the user from having the burden of following the tedious processes of setting, configuring and updating IoT services the user is involved in; (ii) acting on behalf of the user when basic operations are required; (iii) exploiting to the best of its ability the IoT potentialities, always taking always account the user profile and interests. Accordingly, the VU is a complex representation of the user and acts as a proxy in between the virtual objects and IoT services and application; to this, it includes the following major functionalities: user profiling, authorization management, quality of experience modeling and management, social networking and context management. In this respect, the major contributions of this paper are to: provide the definition of VU, present the major functionalities, discuss the legal issues related to its introduction, provide some implementation details, and analyze key performance aspects in terms of the capability of the VU to correctly identify the user profile and context.
Roberto Girau; Raimondo Cossu; Massimo Farina; Virginia Pilloni; Luigi Atzori. Virtual User in the IoT: Definition, Technologies and Experiments. Sensors 2019, 19, 4489 .
AMA StyleRoberto Girau, Raimondo Cossu, Massimo Farina, Virginia Pilloni, Luigi Atzori. Virtual User in the IoT: Definition, Technologies and Experiments. Sensors. 2019; 19 (20):4489.
Chicago/Turabian StyleRoberto Girau; Raimondo Cossu; Massimo Farina; Virginia Pilloni; Luigi Atzori. 2019. "Virtual User in the IoT: Definition, Technologies and Experiments." Sensors 19, no. 20: 4489.
In this study we consider the scenario of sensors belonging to different platforms and owned by different owners that join the efforts in an opportunistic way to improve the overall sensing capabilities in a given geographical area by forming clusters of nodes. The considered nodes have cognitive radio and exploit device-to-device communications. A solution is proposed which relies on a Cluster Head (CH) that guides the whole task allocation strategy. The addressed challenges are the following: i) collaborative spectrum sensing for effective communications within the cluster; ii) assignment of each request of sensing tasks to a single node in the cluster. The first challenge is addressed by proposing a collaborative sensing procedure where each node communicates to the CH the received signal energy of licensed users so that the latter makes a decision on the availability of the band by fusing the received information towards a minimisation of the uncertainty in detecting the free spectrum. The second challenge is addressed by proposing a non-cooperative Game theory based approach in which CNs make effort to selfishly increase utility by winning the task. Each node takes part to the competition by considering two elements: the gain that is won for its contribution to sensing and for the execution of the task (in case it wins the competition); the cost in terms of energy to be consumed in case the task is executed. A Nash Equilibrium Point (NEP) is found for the aforementioned game in which each object has no incentive to deviate uni-laterally from the NEP. Extensive simulations are performed to evaluate the impact of probability of false alarm, utility function weighting factors and presence of licensed users on the cumulative system utility.
Talha Faizur Rahman; Virginia Pilloni; Luigi Atzori. Application Task Allocation in Cognitive IoT: A Reward-Driven Game Theoretical Approach. IEEE Transactions on Wireless Communications 2019, 18, 5571 -5583.
AMA StyleTalha Faizur Rahman, Virginia Pilloni, Luigi Atzori. Application Task Allocation in Cognitive IoT: A Reward-Driven Game Theoretical Approach. IEEE Transactions on Wireless Communications. 2019; 18 (12):5571-5583.
Chicago/Turabian StyleTalha Faizur Rahman; Virginia Pilloni; Luigi Atzori. 2019. "Application Task Allocation in Cognitive IoT: A Reward-Driven Game Theoretical Approach." IEEE Transactions on Wireless Communications 18, no. 12: 5571-5583.
This paper addresses the Internet of Things. Main enabling factor of this promising paradigm is the integration of several technologies and communications solutions. Identification and tracking technologies, wired and wireless sensor and actuator networks, enhanced communication protocols (shared with the Next Generation Internet), and distributed intelligence for smart objects are just the most relevant. As one can easily imagine, any serious contribution to the advance of the Internet of Things must necessarily be the result of synergetic activities conducted in different fields of knowledge, such as telecommunications, informatics, electronics and social science. In such a complex scenario, this survey is directed to those who want to approach this complex discipline and contribute to its development. Different visions of this Internet of Things paradigm are reported and enabling technologies reviewed. What emerges is that still major issues shall be faced by the research community. The most relevant among them are addressed in details.
Luigi Atzori; Antonio Lera; Giacomo Morabito. THE INTERNET OF THINGS: A SURVEY. Tạp chí Nghiên cứu dân tộc 2018, 1 .
AMA StyleLuigi Atzori, Antonio Lera, Giacomo Morabito. THE INTERNET OF THINGS: A SURVEY. Tạp chí Nghiên cứu dân tộc. 2018; (24):1.
Chicago/Turabian StyleLuigi Atzori; Antonio Lera; Giacomo Morabito. 2018. "THE INTERNET OF THINGS: A SURVEY." Tạp chí Nghiên cứu dân tộc , no. 24: 1.
The Internet of Things paradigm will certainly be one of the main drivers of the tomorrow's 5th generation (5G) wireless networks. In order to support the algorithms required for real time exchange and analysis of great amounts of data among the involved smart devices, Virtual Objects (VO) have become a key component to improve the objects energy management efficiency, as well as to address heterogeneity and scalability issues. Following the research trend of exploiting on-demand cloud computing resources to augment the processing and storage capabilities of IoT devices, this paper addresses the design of a novel infrastructure and paradigm to support the deployment of new personal IoT services inside the infrastructure provider premises. The goal is to bring cloud-computing services much closer to the end-users and to be able to replace physical IoT devices with their “Virtual Images”. Among other benefits, this approach will ensure a longer lifetime to IoT constrained devices and enable the inclusion of new protocols making the development of logic and the configuration of IoT smart application environment technology-agnostic. To achieve this goal, we have developed an open-source software platform that exploits OpenStack APIs and leverages a web interface providing all the functionality typically available in a home gateway through the OpenWRT Linux distribution. Results show this approach brings a manifest reduction in the amount of data transmitted, with benefits in terms of reduced workload and power consumption as well as extended device lifetime.
L. Atzori; J.L. Bellido; R. Bolla; G. Genovese; Antonio Iera; A. Jara; C. Lombardo; G. Morabito. SDN&NFV contribution to IoT objects virtualization. Computer Networks 2018, 149, 200 -212.
AMA StyleL. Atzori, J.L. Bellido, R. Bolla, G. Genovese, Antonio Iera, A. Jara, C. Lombardo, G. Morabito. SDN&NFV contribution to IoT objects virtualization. Computer Networks. 2018; 149 ():200-212.
Chicago/Turabian StyleL. Atzori; J.L. Bellido; R. Bolla; G. Genovese; Antonio Iera; A. Jara; C. Lombardo; G. Morabito. 2018. "SDN&NFV contribution to IoT objects virtualization." Computer Networks 149, no. : 200-212.
In recent years identifier/locator splitting (ILS) has been proposed as a promising future Internet solution to the so-called “semantic overload of addresses” problem. It is currently under debate whether the ILS approach, which entails identifier-to-locator resolution procedures, could ensure scalability, session continuity, and mobility across heterogeneous multiaccess networks as demanded by Internet of Things (IoT). In this paper, it is proposed to exploit the Social IoT concept to address the above issues. More specifically, a scheme is introduced that browses the social graph of devices to find information about the locator of the intended destination. Results show that the proposed solution outperforms the alternative ILS approaches in terms of number of hops and latency incurred to accomplish the resolution procedure, at the cost of a slight increase in the storage demands to track social relationships.
Luigi Atzori; Claudia Campolo; Bin Da; Roberto Girau; Antonio Iera; Giacomo Morabito; Salvatore Quattropani. Enhancing Identifier/Locator Splitting Through Social Internet of Things. IEEE Internet of Things Journal 2018, 6, 2974 -2985.
AMA StyleLuigi Atzori, Claudia Campolo, Bin Da, Roberto Girau, Antonio Iera, Giacomo Morabito, Salvatore Quattropani. Enhancing Identifier/Locator Splitting Through Social Internet of Things. IEEE Internet of Things Journal. 2018; 6 (2):2974-2985.
Chicago/Turabian StyleLuigi Atzori; Claudia Campolo; Bin Da; Roberto Girau; Antonio Iera; Giacomo Morabito; Salvatore Quattropani. 2018. "Enhancing Identifier/Locator Splitting Through Social Internet of Things." IEEE Internet of Things Journal 6, no. 2: 2974-2985.
The Social Internet of Things (SIoT) is a novel communication paradigm according to which the objects connected to the Internet create a dynamic social network that is mostly used to implement the following processes: route information and service requests, disseminate data, and evaluate the trust level of each member of the network. In this paper, the SIoT paradigm is applied to a scenario where geolocated sensing tasks are assigned to fixed and mobile devices, providing the following major contributions. The SIoT model is adopted to find the objects that can contribute to the application by crawling the social network through the nodes profile and trust level. A new algorithm to address the resource management issue is proposed so that sensing tasks are fairly assigned to the objects in the SIoT. To this, an energy consumption profile is created per device and task, and shared among nodes of the same category through the SIoT. The resulting solution is also implemented in the SIoT-based Lysis platform. Emulations have been performed, which showed an extension of the time needed to completely deplete the battery of the first device of more than 40% with respect to alternative approaches.
Luigi Atzori; Roberto Girau; Virginia Pilloni; Marco Uras. Assignment of Sensing Tasks to IoT Devices: Exploitation of a Social Network of Objects. IEEE Internet of Things Journal 2018, 6, 2679 -2692.
AMA StyleLuigi Atzori, Roberto Girau, Virginia Pilloni, Marco Uras. Assignment of Sensing Tasks to IoT Devices: Exploitation of a Social Network of Objects. IEEE Internet of Things Journal. 2018; 6 (2):2679-2692.
Chicago/Turabian StyleLuigi Atzori; Roberto Girau; Virginia Pilloni; Marco Uras. 2018. "Assignment of Sensing Tasks to IoT Devices: Exploitation of a Social Network of Objects." IEEE Internet of Things Journal 6, no. 2: 2679-2692.
This paper presents a distributed agent-based Quality of Experience (QoE) monitoring solution for Long Term Evolution (LTE)-Advanced Pro networks. The proposed solution relies on an approach that considers the computational complexity and the network load to adjust the frequency of measurements while considering the estimation accuracy. Accordingly, the proposed system allows the Internet Service Provider (ISP) to monitor the network QoE level accurately without overloading the network by considering different Influence Factors (IFs). Some preliminary results are shown in terms of accuracy of estimations and computational complexity in case of video streaming service.
Elisavet Grigoriou; Theocharis Saoulidis; Luigi Atzori; Virginia Pilloni; Periklis Chatzimisios. A QoE monitoring solution for LTE-Advanced Pro networks. 2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) 2018, 1 -5.
AMA StyleElisavet Grigoriou, Theocharis Saoulidis, Luigi Atzori, Virginia Pilloni, Periklis Chatzimisios. A QoE monitoring solution for LTE-Advanced Pro networks. 2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). 2018; ():1-5.
Chicago/Turabian StyleElisavet Grigoriou; Theocharis Saoulidis; Luigi Atzori; Virginia Pilloni; Periklis Chatzimisios. 2018. "A QoE monitoring solution for LTE-Advanced Pro networks." 2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) , no. : 1-5.
The new generation of LTE (Long Term Evolution) networks provides ubiquitous broadband access to mobile devices matching land communications in quality and speed. However, to optimize network resource usage in a dynamic environment network operators need models and strategies to constantly assess and manage the end-user's Quality of Experience (QoE). Given the importance of these activities, in the current paper, we focus on quality monitoring and the usage of QoE-agents in an LTE-Advanced Pro network. Specifically, we identify the location and the operation of the QoE-Agents based on the accuracy of the measurements and the load in the network considering the frequency of the measurements and the running applications. Emulations have been also carried out to evaluate two scenarios with different network conditions and we made experiments with different quality sampling rates and different application configurations. The preliminary results have shown that the proposed strategy brings to acceptable errors from our measurements, low CPU utilization and acceptable memory utilization.
Elisavet Grigoriou; Theocharis Saoulidis; Luigi Atzori; Virginia Pilloni; Periklis Chatzimisios. An Agent-Based QoE Monitoring Strategy for LTE Networks. 2018 IEEE International Conference on Communications (ICC) 2018, 1 -6.
AMA StyleElisavet Grigoriou, Theocharis Saoulidis, Luigi Atzori, Virginia Pilloni, Periklis Chatzimisios. An Agent-Based QoE Monitoring Strategy for LTE Networks. 2018 IEEE International Conference on Communications (ICC). 2018; ():1-6.
Chicago/Turabian StyleElisavet Grigoriou; Theocharis Saoulidis; Luigi Atzori; Virginia Pilloni; Periklis Chatzimisios. 2018. "An Agent-Based QoE Monitoring Strategy for LTE Networks." 2018 IEEE International Conference on Communications (ICC) , no. : 1-6.
In the last decade, we have been experiencing an increasing level of intelligence that the objects in the Internet of Things (IoT) have been augmented with, especially in the direction of giving them cognitive and socialization capabilities. We believe that this evolution should go further in the direction of the Emotional Intelligence, which allows humans to be successful in their lives. EmIoT is the resulting paradigm that we propose, which is aimed to increase the Quality of Experience delivered by IoT applications by making IoT capable of: understanding peoples needs by observing them; better management of its own resources on the basis of users emotional state; creating a level of affection to be used for leveraging the level of interaction between IoT and users. The paper's contribution lies in the definition of the paradigm, the analysis of the new functionalities the IoT should be augmented with, and the preliminary investigation of the possible EmIoT architecture.
Michele Nitti; Virginia Pilloni; Luigi Atzori. EmIoT: Giving Emotional Intelligence to the Internet of Things. 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) 2018, 1 -3.
AMA StyleMichele Nitti, Virginia Pilloni, Luigi Atzori. EmIoT: Giving Emotional Intelligence to the Internet of Things. 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX). 2018; ():1-3.
Chicago/Turabian StyleMichele Nitti; Virginia Pilloni; Luigi Atzori. 2018. "EmIoT: Giving Emotional Intelligence to the Internet of Things." 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) , no. : 1-3.
The Internet of Things (IoT) paradigm has evolved towards the creation of a cyber-physical world where everything can be found, activated, probed, interconnected, and updated at both the virtual and the physical levels. Indeed, virtualization of real devices and services has become crucial for most of the IoT applications by augmenting the capabilities of the physical world. We believe that next step of this evolution relies on augmenting the user capabilities with virtualization functions so as to make easier and faster her involvement in the needed applications. Accordingly, we introduce the concept of virtual user for the IoT, which we define as the trusted digital counterpart of the user it represents, facilitating her integration into the technological digital world reducing the burden of following the tedious processes of setting, configuring and updating IoT applications she is involved in and exploiting at the best the relevant potentialities, taking always into account her quality of life. This paper discusses about this novel concept and presents the foreseen functionalities, which need edge cloud resources. It also presents a use-case where the introduced advantages are highlighted and an initial analysis of the performance on user's preference prediction is provided.
Roberto Girau; Virginia Pilloni; Luigi Atzori. The virtual user: The holistic manager of our IoT applications. 2018 IEEE 4th World Forum on Internet of Things (WF-IoT) 2018, 149 -154.
AMA StyleRoberto Girau, Virginia Pilloni, Luigi Atzori. The virtual user: The holistic manager of our IoT applications. 2018 IEEE 4th World Forum on Internet of Things (WF-IoT). 2018; ():149-154.
Chicago/Turabian StyleRoberto Girau; Virginia Pilloni; Luigi Atzori. 2018. "The virtual user: The holistic manager of our IoT applications." 2018 IEEE 4th World Forum on Internet of Things (WF-IoT) , no. : 149-154.
In this paper, we illustrate a Software Defined Network (SDN)-based architecture for Quality of Experience (QoE) management that solves two of the major problems of current networking technologies which are related to the limitations in scalability and flexibility. Its advantage is the exploitation of the virtualization features of the network nodes and devices to flexibly deploy monitoring and control functions in the different points of the network according to the SDN control functions. As a result the QoE monitoring and management is deployed at the application layer on top of the controller. In order to evaluate the proposed framework and architecture, a platform has been developed, which is called QoE-MoMa (QoE-Monitoring and Management) platform, making use of the Opendaylight solution and Mininet emulation environment. To evaluate QoE-MoMa, we focused on the video streaming service, whose final quality has been evaluated using the estimated MOS (eMOS) model that mostly considers rebuffering events, duration of the rebuffering, switch quality rates, video resolution, and quantization parameter. The results show the efficiency of the proposed approach observing that higher QoE level is achieved if we consider application and network parameters. In conclusion, we consider that QoE-MoMa is useful as a QoE monitoring and management tool for a variety of services and can be deployed on a real network conveniently.
Elisavet Grigoriou; Luigi Atzori; Virginia Pilloni. A Novel Strategy for Quality of Experience Monitoring and Management. GLOBECOM 2017 - 2017 IEEE Global Communications Conference 2017, 1 -6.
AMA StyleElisavet Grigoriou, Luigi Atzori, Virginia Pilloni. A Novel Strategy for Quality of Experience Monitoring and Management. GLOBECOM 2017 - 2017 IEEE Global Communications Conference. 2017; ():1-6.
Chicago/Turabian StyleElisavet Grigoriou; Luigi Atzori; Virginia Pilloni. 2017. "A Novel Strategy for Quality of Experience Monitoring and Management." GLOBECOM 2017 - 2017 IEEE Global Communications Conference , no. : 1-6.
Virginia Pilloni; Emad Abd-Elrahman; Makhlouf Hadji; Luigi Atzori; Hossam Afifi. IoT_ProSe: Exploiting 3GPP services for task allocation in the Internet of Things. Ad Hoc Networks 2017, 66, 26 -39.
AMA StyleVirginia Pilloni, Emad Abd-Elrahman, Makhlouf Hadji, Luigi Atzori, Hossam Afifi. IoT_ProSe: Exploiting 3GPP services for task allocation in the Internet of Things. Ad Hoc Networks. 2017; 66 ():26-39.
Chicago/Turabian StyleVirginia Pilloni; Emad Abd-Elrahman; Makhlouf Hadji; Luigi Atzori; Hossam Afifi. 2017. "IoT_ProSe: Exploiting 3GPP services for task allocation in the Internet of Things." Ad Hoc Networks 66, no. : 26-39.
Tasos Dagiuklas; Raimund Schatz; Pedro Assuncao; Luigi Atzori. Editorial: Special Issue on “QoE Monitoring and Management for Future Internet Media Services”. Multimedia Tools and Applications 2017, 76, 22213 -22214.
AMA StyleTasos Dagiuklas, Raimund Schatz, Pedro Assuncao, Luigi Atzori. Editorial: Special Issue on “QoE Monitoring and Management for Future Internet Media Services”. Multimedia Tools and Applications. 2017; 76 (21):22213-22214.
Chicago/Turabian StyleTasos Dagiuklas; Raimund Schatz; Pedro Assuncao; Luigi Atzori. 2017. "Editorial: Special Issue on “QoE Monitoring and Management for Future Internet Media Services”." Multimedia Tools and Applications 76, no. 21: 22213-22214.
Smart grid (SG) will be one of the major application domains that will present severe pressures on future communication networks due to the expected huge number of devices that will be connected to it and that will impose stringent quality transmission requirements. To address this challenge, there is a need for a joint management of both monitoring and communication systems, so as to achieve a flexible and adaptive management of the SG services. This is the issue addressed in this paper, which provides the following major contributions. We define a new strategy to optimize the accuracy of the state estimation (SE) of the electric grid based on available network bandwidth resources and the sensing intelligent electronic devices (IEDs) installed in the field. In particular, we focus on phasor measurement units (PMUs) as measurement devices. We propose the use of the software defined networks (SDN) technologies to manage the available network bandwidth, which is then assigned by the controller to the forwarding devices to allow for the flowing of the data streams generated by the PMUs, by considering an optimization routine to maximize the accuracy of the resulting SE. Additionally, the use of SDN allows for adding and removing PMUs from the monitoring architecture without any manual intervention. We also provide the details of our implementation of the SDN solution, which is used to make simulations with an IEEE 14-bus test network in order to show performance in terms of bandwidth management and estimation accuracy.
Alessio Meloni; Paolo Attilio Pegoraro; Luigi Atzori; Sara Sulis. Bandwidth and Accuracy-Aware State Estimation for Smart Grids Using Software Defined Networks. Energies 2017, 10, 858 .
AMA StyleAlessio Meloni, Paolo Attilio Pegoraro, Luigi Atzori, Sara Sulis. Bandwidth and Accuracy-Aware State Estimation for Smart Grids Using Software Defined Networks. Energies. 2017; 10 (7):858.
Chicago/Turabian StyleAlessio Meloni; Paolo Attilio Pegoraro; Luigi Atzori; Sara Sulis. 2017. "Bandwidth and Accuracy-Aware State Estimation for Smart Grids Using Software Defined Networks." Energies 10, no. 7: 858.