Le résumé en français n'a pas été communiqué par l'auteur. / Le résumé en anglais n'a pas été communiqué par l'auteur.

I dagens läge är industriella nätverk inte anpassade för att koppla upp resursbegränsade enheter pga av att industriella nätverks-protokollen som används är mer anpassade för real time applikationer. Det skulle vara ett stort steg för de industriella nätverken att kunna koppla upp resursbegränsade enheter för enkel övervakning samt analysering av data. Efter en undersökningsperiod av ett flertal olika IoT-protokoll, gjordes valet att implementera CoAP på en Anybus CompactCom-modul för testning. Under projektets gång användes det en del white-box testning i början vid implementationen av libCoAP. Efter att en fungerande implementation var gjord, påbörjades testning av input och output överensstämmelser med hjälp av black-box testning istället. Resultatet jämfördes i slutändan med den existerande lösningen att skicka parameterdata med hjälp av TCP. Resultatet hade en responstidsskillnad som var 92,3 % snabbare. Samtidigt tog det sammanlagt 24,2 % mindre plats i minnet (FLASH och RAM) för implementationen på Anybus CompactCom-modulen.

More and more devices and sensors are around us in today's world. There is an increasing tendency to connect devices and sensors to the Internet. We call such network the Internet of Things. As the cost of computing power continues to decrease, data collection and analysis becomes cheaper. Thus, we are able to get much better insight into different domains. This could be a problem in commercial sector, where we do not want to compromise proprietary know how or data. Especially big concerns are around personal data. We can now analyse behavior of people or get access to personal information such as health or spending patterns. This thesis addresses these privacy issues. Powered by TCPDF (www.tcpdf.org)

The Internet of Things mission is to connect any objects to the Internet, in order to provide the ability to access everything, everywhere. It will enable people to control and monitor their environment in a very convenient way. In order to fulfill the Internet of Things mission, one idea is to wrap a non-IP based protocol stack in the objects equipped with sensors, actuators and computing resources to enable them to be connected to the Internet through a protocol translation gateway. An alternative and competing idea, is to embed the TCP/IP stack into such smart objects, enabling them to interact with the Internet seamlessly. However, in order to satisfy the Internet of Things needs such as scalability, interoperability and simplicity of configuration and management, the use of IP architecture for smart objects is of interest, since it has proven itself a highly scalable, interoperable and simple communication technology. In particular, the new optimized Internet Protocol, IPv6, which is capable of providing any single object with a unique address, accompanied by many other great features such as plug-and-play and a real end-to-end connectivity, can offer great benefits to the Internet of Things. Nevertheless, most of the smart objects specially deployed in Wireless Sensor Networks a subset of Internet of Things, are not able to adapt the large IPv6 packet because of their Link- Layer limitations. Hence, it is a quite challenging task for these devices to transmit an IPv6 packet. For this reason, the Internet Engineering Task Force organization has offered an IPv6 over Low-Power Wireless Personal Area Networks (6LoWPAN) solution in order to solve the IPv6 adaptability problem. This thesis presents the design and deployment of an IPv6-based WSN using this solution. The result of this work is building a 6LoWPAN based on the Contiki OS. This WSN is able to send the measured environment temperature to a web server and control the status of a light through the Internet in a standard, scalable, and seamless way.

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. / In recent years the advancement of technologies of information and communication (technology ICTs) have helped to improve the quality of people's lives. The paradigm of internet of things (IoT, Internet of things) presents innovative solutions that are changing the style of life of the people. Because of this proposes the implementation of a smart mirror as part of a system of home automation, with which we intend to optimize the time of people as they prepare to start their day. This device is constructed from a reflective glass, LCD monitor, a Raspberry Pi 3, a camera and a platform IoT oriented cloud computing, where the information is obtained to show in the mirror, through the consumption of web services. The information is customizable thanks to a mobile application, which in turn allows the user photos to access the mirror, using authentication with facial recognition and user information to predict the news to show according to your profile. In addition, as part of the idea of providing the user a personalized experience, the Smart Mirror incorporates a news recommendation algorithm, implemented using a predictive model, which uses the algorithm, naive bayes. / Revisión por pares

Location tracking on mobile devices like smartphones has already begun to revolutionize personal navigation. Unfortunately, these services perform poorly indoors when GPS signals are no longer available. Highly accurate indoor location tracking would enhance a wide variety of applications including: building navigation (malls, factories, airports), augmented reality, location-aware pervasive computing, targeted advertising, social networking, participatory sensing and could even support next generation beam forming MIMO wireless networks. Current indoor localization systems for smartphones often use RF signal strength from WiFi access points or Bluetooth Low Energy (BLE) beacons to fingerprint indoor locations. Such systems are sensitive to environmental changes and obstructions, require extensive training procedures and are limited in both absolute as well as semantic localization accuracy. We propose using audio signals in the ultrasound spectrum, just above the human hearing range, to provide ranging and localization for many off-the-shelf mobile devices that are equipped with microphones. Ultrasonic ranging provides several advantages over RF-based ranging and fingerprinting approaches, which make it attractive for indoor localization. A relatively low propagation speed and carrier frequency allow for precise propagation time measurements in software using commodity hardware. Acoustic signals also have a low penetration depth, which confines them to target areas for accurate semantic localization. In this dissertation we address several challenges related to acoustic localization, including system scalability, ranging and localization accuracy, energy efficiency, robustness to noise, elimination of human perceivable audio artifacts, efficient use of limited acoustic bandwidth and rapid deployment strategies.

Internet of Things (IoT) is a promising technology with great potential for individuals, society, governments, and the economy. IoT is expected to become ubiquitous and influence every aspect of everyday experience. Thus, IoT represents an important phenomena for both organizational and behavioral information system (IS) researchers. This dissertation seeks to contribute to IS research by studying the aspects that influence IoT adoption and use at both consumer and organizational levels. This dissertation achieves this purpose in a series of three essays. The first essay focuses on IoT acceptance in the context of smart home. The second essay focuses on examining the effect of artificial intelligence (AI) capabilities on consumers' IoT perceptions and intentions. Finally, the third essay focuses on the organizational investment and adoption of IoT technologies.

The older adult population is growing. Many seniors will need more care in order to stay at home, and some will find it necessary to move into an institutional setting (National Institute on Aging, 2017). However, there is a growing trend for senior adults to want to remain at home and age in place. Occupational therapy practitioners whose work takes place in home settings have the opportunity to enable these individuals to preserve their independence. Recent advancements in smart home technology provide applications for this form of assistive technology in situations where an older person with a disability can remain in the home because of advances in (Mahoney et al., 2009; Mann et al., 1999; Tomita et al., 2007; van Hoof et al., 2011) automation or remote controlling that minimize the assistance needed from others. However, older adults may not have the base knowledge to set up these devices for themselves. Occupational therapy practitioners can serve as a bridge to enable older adults to use smart home technology in their homes by bringing together their expertise on home modification, assistive technology, and understanding of the person, environment, and activity/occupation (Maitra & Vasquez, 2011; Waite, 2015). This proposed program is designed to empower occupational therapy practitioners to be the bridge that enables older adults to use smart home technology. It is an evidence-based, theory-driven workshop that will provide instruction on different aspects of smart home technology, including guidelines for assessment, education, and implementation with older adult clients. Within a span of eight hours, instruction will include short lectures and videos, as well as opportunities for hands-on practice using case studies and actual work with smart home technology. Occupational therapy practitioners will become a knowledgeable part of the home care modification team; they will be prepared to apply a client-centered understanding of smart home technology and will have acquired the professional terminology to discuss smart home technology and its application for home modification with other non-health care professionals. Participants will also gain the tools to advocate for occupational therapy and smart home assistive technology to family members, caregivers, manufacturers and insurance providers.

The Internet of things is a scenario where devices such as lighting, household appliances, sensors etc. are connected and communicate with each other via Internet. This puts a demand for a good infrastructure around these devices. One way to handle this is to use radio as a means of communication and let the devices forward each other's traffic in what is known as a mesh network. This thesis explores different radio standards that can be used to create a mesh network for sensors. Two different approaches to mesh networking using Bluetooth Low Energy was implemented and evaluated. One approach works by letting all devices broadcast every message they receive, a rather brute force approach. The other approach worked by letting the network find routes between all the nodes in the network and then establishes a connection between the nodes that want to communicate via intermediate nodes. It was found that the rebroadcast approach in idle mode used 3.36 mAh while the connection approach used 0.47 mAh for the same configuration. Another test was performed where the percentage of successfully delivered messages was measured. For the rebroadcast approach it was 75 % and for connection it was 58 %. Tweaking the connection network to not be able to adapt to changes increased the throughput to 77 %. During the testing numerous ways for improving performance were thought of but not implemented. The need for synchronizing the devices clocks and establishing protocol for when to send and receive became apparent when working with the rebroadcast network. In the connection network there were problems with that the routing maintenance led to unavailable units and reduced performance. / Sakernas internet, Internet of Things är ett scenario där elektriska apparater så som belysning, hushållsmaskiner, sensorer mm är anslutna och kommunicerar med varandra via internet. Men så många anslutna enheter ställer stora krav på infrastrukturen kring enheterna. Ett sätt att lösa problemen kring infrastruktur är att låta enheterna kommunicera via radio och låta dem vidarebefordra varandras datatrafik i en typ av nätverkstopologi som kallas för meshnätverk. Det här examensarbetet utforskar möjliga radiostandarder som kan användas för att skapa ett meshnätverk för just sensorer. Två typer av meshnätverk implementerades med Bluetooth Low Energy och deras styrkor och svagheter utvärderades. En av dessa gick ut på att enheterna i nätverket sände ut meddelanden som alla kunde ta och sedan att de som lyckades ta emot i sin tur sände meddelandena vidare. Det är en enkel metod som är lätt att implementera.Den andra metoden gick ut på att nätverket tog reda på sin konfiguration och vilken rutt som ska tas via andra enheter för att nå den man vill. När enheterna sen vill kommunicera så upprättar de en anslutning via enheterna längs rutten. Två saker som jämfördes mellan metoderna var strömförbrukning och andel lyckade sändningar. För samma nätverk så drog återsändnings nätverket 3.36 mA och anslutningsnätverket 0.47 mA. Antalet lyckade sändningar testades i ett annat scenario och där kom 75 % av meddelanden i återsändningsnätverket fram och motsvarande siffra för anslutningsnätverket var 58\%. Vidare testades det att stänga av utbytet av rutt information och sökningar efter nya enheter i anslutningsnätverket och då kom 77 % av meddelanden fram. I återsändningsnätverket insåg man att det fanns ett behov av att synkronisera klockorna i enheterna och etablera ett protokoll för hur när man ska sända och ta emot.I anslutningsnätverket så uppstod problem med att enheterna blev otillgängliga när de synkroniserade sin konfiguration vilket ledde till försämrad prestanda.

Pervasive Service Discovery (SD) in Low-power and Lossy Networks (LLNs) is expected to play a major role in realising the Internet of Things (IoT) vision. Such a vision aims to expand the current Internet to interconnect billions of miniature smart objects that sense and act on our surroundings in a way that will revolutionise the future. The pervasiveness and heterogeneity of such low-power devices requires robust, automatic, interoperable and scalable deployment and operability solutions. At the same time, the limitations of such constrained devices impose strict challenges regarding complexity, energy consumption, time-efficiency and mobility. This research contributes new lightweight solutions to facilitate automatic deployment and operability of LLNs. It mainly tackles the aforementioned challenges through the proposition of novel component-based, automatic and efficient SD solutions that ensure extensibility and adaptability to various LLN environments. Building upon such architecture, a first fully-distributed, hybrid pushpull SD solution dubbed EADP (Extensible Adaptable Discovery Protocol) is proposed based on the well-known Trickle algorithm. Motivated by EADPs’ achievements, new methods to optimise Trickle are introduced. Such methods allow Trickle to encompass a wide range of algorithms and extend its usage to new application domains. One of the new applications is concretized in the TrickleSD protocol aiming to build automatic, reliable, scalable, and time-efficient SD. To optimise the energy efficiency of TrickleSD, two mechanisms improving broadcast communication in LLNs are proposed. Finally, interoperable standards-based SD in the IoT is demonstrated, and methods combining zero-configuration operations with infrastructure-based solutions are proposed. Experimental evaluations of the above contributions reveal that it is possible to achieve automatic, cost-effective, time-efficient, lightweight, and interoperable SD in LLNs. These achievements open novel perspectives for zero-configuration capabilities in the IoT and promise to bring the ‘things’ to all people everywhere.