884 resultados para Ubiquitous Computing, Pervasive Computing, Internet of Things, Cloud Computing
Resumo:
Med begreppet "Internet of Things" menas att ett objekt ur den riktiga världen blir en del av internet. Tunabyggen i Borlänge planerar att implementera ett sådant informationssystem som med hjälp av sensorer och en ständig internetuppkoppling håller uppsikt över temperatur och luftfuktighet i utvalda lokaler. Det är ett enkelt system som till synes inte har så stora effekter på den nuvarande verksamheten. De ekonomiska effekterna går ofta att räkna på i förhand men effekterna på personal, miljö och rutiner kan glömmas bort. Vi har därför med detta examensarbete undersökt vilka inledande effekter som kan tänkas uppkomma efter implementering av ett nytt informationssystem med "Internet of Things" funktionalitet i en verksamhet. Detta sker inom kategorierna ekonomi, arbetsmiljö, miljöpåverkan och systemförvaltning. För att kunna besvara detta har vi gjort en fallstudie baserad på en scenariometodik som består av fyra faser. Fas 1, där vi fick vårt Case och skapade en förståelse för scenariofältet. Fas 2, där vi identifierade nyckelfaktorer. Detta har gjorts genom en litteraturstudie samt intervju med berörd personal på Tunabyggen. Fas 3, där analysen av dessa nyckelfaktorer skedde genom nulägesanalys och framtidsanalys av nyckelfaktorer. Fas 4, där vi genererade scenarier av de analyserade nyckelfaktorerna. Det har sedan gjorts en SWOT-analys för att belysa styrkor, svagheter, möjligheter och hot. Resultatet visar tydliga tecken på att det kommer att bli många effekter för Tunabyggen efter implementering av det nya informationssystemet som yttrar sig i alla kategorier. Slutsatsen är att vid implementation av ett informationssystem som detta är effekterna många. Detta är något som vi anser bör beaktas av alla verksamheter som har tankar på att införskaffa ett nytt informationssystem. De bör inte bara utvärdera informationssystem rent ekonomiskt utan borde ta i beaktning att det finns ett antal andra faktorer som har en avgörande roll om implementation av informationssystem ska bli lyckad.
Resumo:
Cognitive radio (CR) is fast emerging as a promising technology that can meet the machine-to machine (M2M) communication requirements for spectrum utilization and power control for large number of machines/devices expected to be connected to the Internet-of Things (IoT). Power control in CR as a secondary user can been modelled as a non-cooperative game cost function to quantify and reduce its effects of interference while occupying the same spectrum as primary user without adversely affecting the required quality of service (QoS) in the network. In this paper a power loss exponent that factors in diverse operating environments for IoT is employed in the non-cooperative game cost function to quantify the required power of transmission in the network. The approach would enable various CRs to transmit with lesser power thereby saving battery consumption or increasing the number of secondary users thereby optimizing the network resources efficiently.
Distributed and compressed MIKEY mode to secure end-to-end communications in the Internet of things.
Resumo:
Multimedia Internet KEYing protocol (MIKEY) aims at establishing secure credentials between two communicating entities. However, existing MIKEY modes fail to meet the requirements of low-power and low-processing devices. To address this issue, we combine two previously proposed approaches to introduce a new distributed and compressed MIKEY mode for the Internet of Things. Indeed, relying on a cooperative approach, a set of third parties is used to discharge the constrained nodes from heavy computational operations. Doing so, the preshared mode is used in the constrained part of network, while the public key mode is used in the unconstrained part of the network. Furthermore, to mitigate the communication cost we introduce a new header compression scheme that reduces the size of MIKEY’s header from 12 Bytes to 3 Bytes in the best compression case. Preliminary results show that our proposed mode is energy preserving whereas its security properties are preserved untouched.
Resumo:
Manufacturing companies have passed from selling uniquely tangible products to adopting a service-oriented approach to generate steady and continuous revenue streams. Nowadays, equipment and machine manufacturers possess technologies to track and analyze product-related data for obtaining relevant information from customers’ use towards the product after it is sold. The Internet of Things on Industrial environments will allow manufacturers to leverage lifecycle product traceability for innovating towards an information-driven services approach, commonly referred as “Smart Services”, for achieving improvements in support, maintenance and usage processes. The aim of this study is to conduct a literature review and empirical analysis to present a framework that describes a customer-oriented approach for developing information-driven services leveraged by the Internet of Things in manufacturing companies. The empirical study employed tools for the assessment of customer needs for analyzing the case company in terms of information requirements and digital needs. The literature review supported the empirical analysis with a deep research on product lifecycle traceability and digitalization of product-related services within manufacturing value chains. As well as the role of simulation-based technologies on supporting the “Smart Service” development process. The results obtained from the case company analysis show that the customers mainly demand information that allow them to monitor machine conditions, machine behavior on different geographical conditions, machine-implement interactions, and resource and energy consumption. Put simply, information outputs that allow them to increase machine productivity for maximizing yields, save time and optimize resources in the most sustainable way. Based on customer needs assessment, this study presents a framework to describe the initial phases of a “Smart Service” development process, considering the requirements of Smart Engineering methodologies.
Resumo:
L'Internet of Things (IoT) è oggetto di grande interesse per la ricerca e per l'industria. Le numerose tecnologie che sono state sviluppate rendono possibile la creazione di nuovi e utili servizi, ma introducono problemi legati alla reciproca incompatibilità. Nell'elaborato si analizza nel dettaglio questa situazione e si descrive l'implementazione di un sistema che ha come obiettivo la realizzazione di una rete composta da dispositivi che fanno uso di tecnologie differenti. Il progetto usa un Raspberry Pi come router, il cui scopo è quello di gestire le differenze fra gli standard di comunicazione utilizzati. Le tecnologie wireless supportate sono: WiFi, Bluetooth, ZigBee, nRF24L01 e moduli radio 433MHz. Sulla rete cosi formata è inoltre possibile lo sviluppo di applicazioni IoT, grazie alle logiche di funzionamento messe a disposizione dal sistema.
Resumo:
Abstract: After developing many sensor networks using custom protocols to save energy and minimise code complexity - we have now experimented with standards-based designs. These use IPv6 (6LowPAN), RPL routing, Coap for interfaces and data access and protocol buffers for data encapsulation. Deployments in the Cairngorm mountains have shown the capabilities and limitations of the implementations. This seminar will outline the hardware and software we used and discuss the advantages of the more standards-based approach. At the same time we have been progressing with high quality imaging of cultural heritage using the RTIdomes - so some results and designs will be shown as well. So this seminar will cover peat-bogs to museums, binary-HTTP-like REST to 3500 year old documents written on clay.
Resumo:
Negli ultimi 50 anni Internet è passata da una piccola rete di ricerca, formata da pochi nodi, ad un’infrastruttura globale capace di connettere più di un milione di utenti. La progressiva miniaturizzazione e la riduzione di costi di produzione dei dispositivi elettronici, permette, tuttora, l’estensione della rete a una nuova dimensione: gli oggetti intelligenti. In questi scenari dove le risorse di rete sono spesso proibitive o la mobilità dei nodi è una caratteristica comune, è necessario che sia garantita forte robustezza a transitori di connessione. Lo dimostra uno studio precedente riguardo ad un applicativo d'agricoltura di precisione denominato Agri-Eagle. In esso vengono confrontate due diverse implementazioni utilizzando il framework SMART M3 e MQTT. Il lavoro di tesi in esame ne estende le considerazioni ed esplora vari metodi per conferire robustezza ad applicazioni sviluppati su SMART-M3. Verrà studiata la funzionalità di Lastwill e Testament proprie di MQTT e se ne tenterà una trasposizione nel mondo semantico. Infine verrà modificato il meccanismo di sottoscrizione in modo da renderlo più robusto a cadute di connessione.
Resumo:
Nowadays, application domains such as smart cities, agriculture or intelligent transportation, require communication technologies that combine long transmission ranges and energy efficiency to fulfill a set of capabilities and constraints to rely on. In addition, in recent years, the interest in Unmanned Aerial Vehicles (UAVs) providing wireless connectivity in such scenarios is substantially increased thanks to their flexible deployment. The first chapters of this thesis deal with LoRaWAN and Narrowband-IoT (NB-IoT), which recent trends identify as the most promising Low Power Wide Area Networks technologies. While LoRaWAN is an open protocol that has gained a lot of interest thanks to its simplicity and energy efficiency, NB-IoT has been introduced from 3GPP as a radio access technology for massive machine-type communications inheriting legacy LTE characteristics. This thesis offers an overview of the two, comparing them in terms of selected performance indicators. In particular, LoRaWAN technology is assessed both via simulations and experiments, considering different network architectures and solutions to improve its performance (e.g., a new Adaptive Data Rate algorithm). NB-IoT is then introduced to identify which technology is more suitable depending on the application considered. The second part of the thesis introduces the use of UAVs as flying Base Stations, denoted as Unmanned Aerial Base Stations, (UABSs), which are considered as one of the key pillars of 6G to offer service for a number of applications. To this end, the performance of an NB-IoT network are assessed considering a UABS following predefined trajectories. Then, machine learning algorithms based on reinforcement learning and meta-learning are considered to optimize the trajectory as well as the radio resource management techniques the UABS may rely on in order to provide service considering both static (IoT sensors) and dynamic (vehicles) users. Finally, some experimental projects based on the technologies mentioned so far are presented.
Resumo:
The fourth industrial revolution is paving the way for Industrial Internet of Things applications where industrial assets (e.g., robotic arms, valves, pistons) are equipped with a large number of wireless devices (i.e., microcontroller boards that embed sensors and actuators) to enable a plethora of new applications, such as analytics, diagnostics, monitoring, as well as supervisory, and safety control use-cases. Nevertheless, current wireless technologies, such as Wi-Fi, Bluetooth, and even private 5G networks, cannot fulfill all the requirements set up by the Industry 4.0 paradigm, thus opening up new 6G-oriented research trends, such as the use of THz frequencies. In light of the above, this thesis provides (i) a broad overview of the main use-cases, requirements, and key enabling wireless technologies foreseen by the fourth industrial revolution, and (ii) proposes innovative contributions, both theoretical and empirical, to enhance the performance of current and future wireless technologies at different levels of the protocol stack. In particular, at the physical layer, signal processing techniques are being exploited to analyze two multiplexing schemes, namely Affine Frequency Division Multiplexing and Orthogonal Chirp Division Multiplexing, which seem promising for high-frequency wireless communications. At the medium access layer, three protocols for intra-machine communications are proposed, where one is based on LoRa at 2.4 GHz and the others work in the THz band. Different scheduling algorithms for private industrial 5G networks are compared, and two main proposals are described, i.e., a decentralized scheme that leverages machine learning techniques to better address aperiodic traffic patterns, and a centralized contention-based design that serves a federated learning industrial application. Results are provided in terms of numerical evaluations, simulation results, and real-world experiments. Several improvements over the state-of-the-art were obtained, and the description of up-and-running testbeds demonstrates the feasibility of some of the theoretical concepts when considering a real industry plant.
Resumo:
The need for data collection from sensors dispersed in the environment is an increasingly important problem in the sector of telecommunications. LoRaWAN is one of the most popular protocols for low-power wide-area networks (LPWAN) that is made to solve the aforementioned problem. The aim of this study is to test the behavior of the LoRaWAN protocol when the gateway that collects data is implemented on a flying platform or, more specifically, a drone. This will be pursued using performance data in terms of access to the channel of the sensor nodes connected to the flying gateway. The trajectory of the aircraft is precomputed using a given algorithm and sensor nodes’ clusterization. The expected results are as follows: simulate the LoraWAN system behavior including the trajectory of the drone and the deployment of nodes; compare and discuss the effectiveness of the LoRaWAN simulator by conducting on-field trials, where the trajectory design and the nodes’ deployment are the same.
Resumo:
La pandemia da COVID-19 ha cambiato le nostre vite obbligandoci a vivere mesi di lockdown, distanziamento sociale ed uso delle mascherine. Il distanziamento sociale e l'uso delle mascherine, anche dopo la prima fase della pandemia, sono state le contromisure principali in quanto permettevano di limitare i contagi permettendo comunque alla gente di uscire di casa. Tutte queste contromisure hanno creato gravi danni all'economia del paese e alla vita personale dei cittadini. Dalla fase iniziale della pandemia si è capito che per gestirla al meglio era necessario effettuare il numero maggiore di tamponi possibili per monitorare al meglio la diffusione del virus ma ciò non era possibile in quanto non esistevano le tecnologie necessarie per testare milioni di persone al giorno. Da questa necessità sono nati i sistemi di Contact Tracing, sistemi che permettono di monitorare in modo anonimo e protetto i contatti sociali delle persone così da capire se sono entrate in contatto con persone infette dal COVID-19 e solo in quel caso effettuare un tampone in modo tale da verificare se sono stati contagiati o meno. Tutti i sistemi di Contact tracing sviluppati ad oggi hanno mostrato problemi relativi alla protezione dei dati, alla scarsa ed inefficace comunicazione e non hanno ridotto al meglio il numero di tamponi effettuati per rilevare realmente coloro che erano stati contagiati avendo quindi uno scarso utilizzo soprattutto a causa della poca fiducia degli utenti riguardo l'utilizzo dei loro dati ed al fatto che dovevano autodichiararsi positivi. Con questa tesi presenterò una nuova tecnica per effettuare il Contact Tracing che combina l'utilizzo del Group Testing all'utilizzo dell'IoT e delle reti per tracciare i contatti tra gli utenti ed il virus chiamata Asynchronous Contact Tracing. Mostrerò come è stato progettato e sviluppato e mostrerò le performance grazie a degli esperimenti reali.
Resumo:
As a subset of the Internet of Things (IoT), the Web of Things (WoT) shares many characteristics with wireless sensor and actuator networks (WSANs) and ubiquitous computing systems (Ubicomp). Yet to a far greater degree than the IoT, WSANs or Ubicomp, the WoT will integrate physical and information objects, necessitating a means to model and reason about a range of context types that have hitherto received little or no attention from the RE community. RE practice is only now developing the means to support WSANs and Ubicomp system development, including faltering first steps in the representation of context. We argue that these techniques will need to be developed further, with a particular focus on rich context types, if RE is to support WoT application development. © 2012 Springer-Verlag.
Resumo:
Abstract: There is a lot of hype around the Internet of Things along with talk about 100 billion devices within 10 years time. The promise of innovative new services and efficiency savings is fueling interest in a wide range of potential applications across many sectors including smart homes, healthcare, smart grids, smart cities, retail, and smart industry. However, the current reality is one of fragmentation and data silos. W3C is seeking to fix that by exposing IoT platforms through the Web with shared semantics and data formats as the basis for interoperability. This talk will address the abstractions needed to move from a Web of pages to a Web of things, and introduce the work that is being done on standards and on open source projects for a new breed of Web servers on microcontrollers to cloud based server farms. Speaker Biography -Dave Raggett : Dave has been involved at the heart of web standards since 1992, and part of the W3C Team since 1995. As well as working on standards, he likes to dabble with software, and more recently with IoT hardware. He has participated in a wide range of European research projects on behalf of W3C/ERCIM. He currently focuses on Web payments, and realising the potential for the Web of Things as an evolution from the Web of pages. Dave has a doctorate from the University of Oxford. He is a visiting professor at the University of the West of England, and lives in the UK in a small town near to Bath.
Resumo:
Wednesday 19th March 2014 Speaker(s): Kirk Martinez, Dr Jonathon S Hare and Dr Enrico Costanza Organiser: Dr Tim Chown Time: 19/03/2014 11:00-11:50 Location: B32/3077 File size: 676 Mb Abstract The new WAIS seminar series features classic seminars, research discussions, tutorial-style presentations, and research debates. This seminar takes the form of a research discussion which will focus on the Internet of Things (IoT) research being undertaken in WAIS and other research groups in ECS. IoT is a significant emerging research area, with funding for research available from many channels including new H2020 programmes and the TSB. We have seen examples of IoT devices being built in WAIS and other ECS groups, e.g. in sensor networking, energy monitoring via Zigbee devices, and of course Erica the Rhino (a Big Thing!). The goal of the session is to briefly present such examples of existing Things in our lab with the intent of seeding discussion on open research questions, and therefore future work we could do towards new Things being deployed for experimentation in Building 32 or its environs. The session will discuss what 'things' we have, how they work, what new 'things' might we want to create and deploy, what components we might need to enable this, and how we might interact with these objects.