POWER LINE COMMUNICATIONS FOR SMART HOME NETWORKS: MODELING, SIMULATION AND OPTIMIZATION

In recent years, research and development efforts are devoted to the deployment of information and communication technology (ICT) within residential buildings and houses, in order to provide services that will increase the quality of life. Although this trend is originated in the late 60’s as a result of the application of industrial automation to residential buildings and houses, i.e., home automation, nowadays, further services are offered to the final users, i.e., home networking and energy management. In fact, a lot of effort is put on the joint delivery of these services in order to make the home, namely the smart home (SH), an integral part of the future smart grid (SG). The concept of SH can be described as a house equipped with electronic systems and appliances, namely, “smart” appliances, which are able to exchange information by means of a communication network. However, these systems are characterized by a broad variety of communication technologies, standards and protocols, so that they often cannot interconnect, and/or interoperate and in some cases even coexist. In our opinion, coexistence, interconnection and interoperability problems represents the bottleneck to a pervasive deployment of smart appliances and systems within residential buildings and houses. To this respect, the first topic that we consider in this thesis is the definition of the SH network architecture and devices, which allows to obtain convergence among smart appliances. To this aim, a survey of the communication technologies, standards, protocols and also media, which can be used for SH applications, is necessary in order to define a network topology that is able to be scalable, extensible, and rather reliable. Moreover, in order to achieve interconnectivity among “smart” appliances, we define a shared common layer that is able to manage heterogeneous lower layers allowing network convergence. Once defined the SH network architecture and its network devices, we focus on power line communication (PLC) technologies and we implement a network testbed in order to evaluate some of the functionalities of the SH network within real environments. From the analysis of field trial data, we are able to highlight performances and disadvantages of two representative narrow band PLC (NB-PLC) solutions. Furthermore, exploiting the network testbed where broadband PLC (BB-PLC) technology is used to provide an Ethernet backbone for NB-PLC devices, we achieve interconnectivity between heterogeneous devices and we observe a significant improvement of the performances. Although NB-PLC technologies have been conceived for the development of low data rate applications and, in particular, for automatic meter reading (AMR), we focus our attention on the G3-PLC technology, for which we propose enhancements at the medium access control (MAC) sub-layer to allow the implementation of SH applications that could potentially require higher data rate than AMR. The G3-PLC technology has been taken into account since (i) it has been used as baseline technology for the development of popular communication standards for SG applications, and (ii) we have found, from the field trials, that the performance of NB-PLC may be poor in large houses where the signal is strongly attenuated because it spans large distances and crosses different circuit breakers (CBs), e.g., in multi-floor houses. Furthermore, an innovative cross-platform simulator that allows to realistically simulate the G3-PLC technology up to the network layer is presented. The proposed cross-platform consists of two different simulators jointly connected: one for the physical (PHY) layer and one for the data link layer (DLL)/network layer (NL). The PHY layer simulator is implemented in MATLAB, while the DLL/network simulator in OMNeT++. A convergent network architecture that permits the integration of the G3-PLC technology within a switched Ethernet network is also presented with the aim of improving the G3-PLC performance in large scale houses/buildings. The performance of the considered communication technology are presented through extensive numerical results for the in-home application scenario. Finally, the cross-platform simulator is used to evaluate G3-PLC systems for SG applications in the access network scenario. This is fundamental since the interaction of the outside world, i.e., the access network, with the SH is mandatory in order to achieve and exploit the SG concept. Moreover, to improve the performance and coverage of G3-PLC, a simple adaptive tone mapping algorithm together with a routing algorithm are also presented.Ricerca condotta all'interno del WiPLi Lab/Wireless and Power Line Communications LaboratoryopenDottorato di ricerca in Ingegneria industriale e dell'informazioneopenDI BERT, Luc

A Survey on Energy Consumption and Environmental Impact of Video Streaming

Climate change challenges require a notable decrease in worldwide greenhouse gas (GHG) emissions across technology sectors. Digital technologies, especially video streaming, accounting for most Internet traffic, make no exception. Video streaming demand increases with remote working, multimedia communication services (e.g., WhatsApp, Skype), video streaming content (e.g., YouTube, Netflix), video resolution (4K/8K, 50 fps/60 fps), and multi-view video, making energy consumption and environmental footprint critical. This survey contributes to a better understanding of sustainable and efficient video streaming technologies by providing insights into the state-of-the-art and potential future directions for researchers, developers, and engineers, service providers, hosting platforms, and consumers. We widen this survey's focus on content provisioning and content consumption based on the observation that continuously active network equipment underneath video streaming consumes substantial energy independent of the transmitted data type. We propose a taxonomy of factors that affect the energy consumption in video streaming, such as encoding schemes, resource requirements, storage, content retrieval, decoding, and display. We identify notable weaknesses in video streaming that require further research for improved energy efficiency: (1) fixed bitrate ladders in HTTP live streaming; (2) inefficient hardware utilization of existing video players; (3) lack of comprehensive open energy measurement dataset covering various device types and coding parameters for reproducible research

Integrated CHOReOS middleware - Enabling large-scale, QoS-aware adaptive choreographies

This document describes the final implementation and the evaluation of the CHOReOS middleware. Evaluation is achieved both via the use of the middleware on CHOReOS use-cases and via synthetic experiments and simulation. The conclusion was that the implementation of the CHOReOS middleware has achieved a good level of maturity for an open source project and it is ready to be used in real-world, complex choreographies

From MANET to people-centric networking: Milestones and open research challenges

In this paper, we discuss the state of the art of (mobile) multi-hop ad hoc networking with the aim to present the current status of the research activities and identify the consolidated research areas, with limited research opportunities, and the hot and emerging research areas for which further research is required. We start by briefly discussing the MANET paradigm, and why the research on MANET protocols is now a cold research topic. Then we analyze the active research areas. Specifically, after discussing the wireless-network technologies, we analyze four successful ad hoc networking paradigms, mesh networks, opportunistic networks, vehicular networks, and sensor networks that emerged from the MANET world. We also present an emerging research direction in the multi-hop ad hoc networking field: people centric networking, triggered by the increasing penetration of the smartphones in everyday life, which is generating a people-centric revolution in computing and communications

Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges and Future Directions

Sixth-generation (6G) networks anticipate intelligently supporting a wide range of smart services and innovative applications. Such a context urges a heavy usage of Machine Learning (ML) techniques, particularly Deep Learning (DL), to foster innovation and ease the deployment of intelligent network functions/operations, which are able to fulfill the various requirements of the envisioned 6G services. Specifically, collaborative ML/DL consists of deploying a set of distributed agents that collaboratively train learning models without sharing their data, thus improving data privacy and reducing the time/communication overhead. This work provides a comprehensive study on how collaborative learning can be effectively deployed over 6G wireless networks. In particular, our study focuses on Split Federated Learning (SFL), a technique recently emerged promising better performance compared with existing collaborative learning approaches. We first provide an overview of three emerging collaborative learning paradigms, including federated learning, split learning, and split federated learning, as well as of 6G networks along with their main vision and timeline of key developments. We then highlight the need for split federated learning towards the upcoming 6G networks in every aspect, including 6G technologies (e.g., intelligent physical layer, intelligent edge computing, zero-touch network management, intelligent resource management) and 6G use cases (e.g., smart grid 2.0, Industry 5.0, connected and autonomous systems). Furthermore, we review existing datasets along with frameworks that can help in implementing SFL for 6G networks. We finally identify key technical challenges, open issues, and future research directions related to SFL-enabled 6G networks

Network-aware video streaming for future media Internet

272 p

A comprehensive survey of V2X cybersecurity mechanisms and future research paths

Recent advancements in vehicle-to-everything (V2X) communication have notably improved existing transport systems by enabling increased connectivity and driving autonomy levels. The remarkable benefits of V2X connectivity come inadvertently with challenges which involve security vulnerabilities and breaches. Addressing security concerns is essential for seamless and safe operation of mission-critical V2X use cases. This paper surveys current literature on V2X security and provides a systematic and comprehensive review of the most relevant security enhancements to date. An in-depth classification of V2X attacks is first performed according to key security and privacy requirements. Our methodology resumes with a taxonomy of security mechanisms based on their proactive/reactive defensive approach, which helps identify strengths and limitations of state-of-the-art countermeasures for V2X attacks. In addition, this paper delves into the potential of emerging security approaches leveraging artificial intelligence tools to meet security objectives. Promising data-driven solutions tailored to tackle security, privacy and trust issues are thoroughly discussed along with new threat vectors introduced inevitably by these enablers. The lessons learned from the detailed review of existing works are also compiled and highlighted. We conclude this survey with a structured synthesis of open challenges and future research directions to foster contributions in this prominent field.This work is supported by the H2020-INSPIRE-5Gplus project (under Grant agreement No. 871808), the ”Ministerio de Asuntos Económicos y Transformacion Digital” and the European Union-NextGenerationEU in the frameworks of the ”Plan de Recuperación, Transformación y Resiliencia” and of the ”Mecanismo de Recuperación y Resiliencia” under references TSI-063000-2021-39/40/41, and the CHIST-ERA-17-BDSI-003 FIREMAN project funded by the Spanish National Foundation (Grant PCI2019-103780).Peer ReviewedPostprint (published version