Internet of Things require a continuous power supply for longevity and energy harvesting from ambient sources enable sustainable operation of such embedded devices. Using selfpowered power supply gives raise two scenarios, where there is surplus or scarce harvested energy. In situations where the harvester is capable of harvesting beyond its storage capacity, the surplus energy is wasted. In situations where the harvester does not have sufficient resources, the sparse harvested energy can only transiently power the device. Transiently powered devices, referred to as intermittent computing devices, ensure forward progress by storing checkpoints of the device state at regular intervals. Irrespective of the availability of energy, the device should have adequate security. This thesis addresses the security of energy harvested embedded devices in both energy scenarios. First, we propose precomputation, an optimization technique, that utilizes the surplus energy. We study two cryptographic applications, namely bulk encryption and true random number generation, and we show that precomputing improves energy efficiency and algorithm latency in both applications. Second, we analyze the security pitfalls in transiently powered devices. To secure transiently powered devices, we propose the Secure Intermittent Computing Protocol. The protocol provides continuity to underlying application, atomicity to protocol operations and detects replay and tampering of checkpoints. Both the proposals together provide comprehensive security to self-powered embedded devices. / Master of Science / Internet of Things(IoT) is a collection of interconnected devices which collects data from its surrounding environment. The data collected from these devices enable emerging technologies like smart home and smart cities, where objects are controlled remotely. With the increase in the number of such devices, there is a demand for self-powered devices to conserve electrical energy. Energy harvesters are suitable for this purpose because they convert ambient energy into electrical energy to be stored in an energy buffer, which is to be used when required by the device. Using energy harvesters as power supply presents us with two scenarios. First, when there is sufficient ambient energy, the surplus energy, which is the energy harvested beyond the storage capacity of the buffer, is not consumed by the device and thus, wasted. Second, when the harvested energy is scarce, the device is forced to shutdown due to lack of power. In this thesis, we consider the overall security of an energy harvested IoT device in both energy scenarios. We optimize cryptographic algorithms to utilize the surplus energy and design a secure protocol to protect the device when the energy is scarce. Utilizing both the ideas together provides adequate security to the Internet of Things.

In today’s world, IoT systems are more and more overwhelming. All electronic devices are becoming connected. From lamps and refrigerators in smart homes, smoke detectors and cameras in monitoring systems, to scales and thermometers in healthcare systems, until phones, cars and watches in smart cities. All these connected devices generate a huge amount of data collected from the environment. To take advantage of these data, a processing phase is needed in order to extract useful information, allowing the best management of the system. Since most objects in IoT systems are resource limited, the processing step, usually performed by an artificial intelligence model, is offloaded to a more powerful machine such as the cloud server in order to benefit from its high storage and processing capacities. However, the cloud server is geographically remote from the connected device, which leads to a long communication delay and harms the effectiveness of the system. Moreover, due to the incredibly increasing number of IoT devices and therefore offloading operations, the load on the network has increased significantly. In order to benefit from the advantages of cloud based AIoT systems, we seek to minimize its shortcomings. In this thesis, we design a distributed architecture that allows combining these three domains while reducing latency and bandwidth consumption as well as the IoT device’s energy and resource consumption. Experiments conducted on different cloud based AIoT systems showed that the designed architecture is capable of reducing up to 80% of the transmitted data. / En el mundo actual, los sistemas de IoT (Internet de las cosas) son cada vez más abrumadores. Todos los dispositivos electrónicos se están conectando entre sí. Desde lámparas y refrigeradores en hogares inteligentes, detectores de humo y cámaras para sistemas de monitoreo, hasta básculas y termómetros para sistemas de atención médica, pasando por teléfonos, automóviles y relojes en ciudades inteligentes. Todos estos dispositivos conectados generan una enorme cantidad de datos recopilados del entorno. Para aprovechar estos datos, es necesario un proceso de análisis para extraer información útil que permita una gestión óptima del sistema. Dado que la mayoría de los objetos en los sistemas de IoT tienen recursos limitados, la etapa de procesamiento, generalmente realizada por un modelo de inteligencia artificial, se traslada a una máquina más potente, como el servidor en la nube, para beneficiarse de su alta capacidad de almacenamiento y procesamiento. Sin embargo, el servidor en la nube está geográficamente alejado del dispositivo conectado, lo que conduce a una larga demora en la comunicación y perjudica la eficacia del sistema. Además, debido al increíble aumento en el número de dispositivos de IoT y, por lo tanto, de las operaciones de transferencia de datos, la carga en la red ha aumentado significativamente. Con el fin de aprovechar las ventajas de los sistemas de AIoT (Inteligencia Artificial en el IoT) basados en la nube, buscamos minimizar sus desventajas. En esta tesis, hemos diseñado una arquitectura distribuida que permite combinar estos tres dominios al tiempo que reduce la latencia y el consumo de ancho de banda, así como el consumo de energía y recursos del dispositivo IoT. Los experimentos realizados en diferentes sistemas de AIoT basados en la nube mostraron que la arquitectura diseñada es capaz de reducir hasta un 80% de los datos transmitidos.

Smart buildings are one of the most important emerging applications of Internet of Things (IoT). The astronomical growth in IoT devices, data generated from these devices and ubiquitous connectivity have given rise to a new computing paradigm, referred to as "Edge computing", which argues for data analysis to be performed at the "edge" of the IoT infrastructure, near the data source. The development of efficient Edge computing systems must be based on advanced understanding of performance benefits that Edge computing can offer. The goal of this work is to develop this understanding by examining the end-to-end latency and throughput performance characteristics of Smart building streaming IoT applications when deployed at the resource-constrained infrastructure Edge and to compare it against the performance that can be achieved by utilizing Cloud's data-center resources. This work also presents a real-time streaming application to detect and localize the footstep impacts generated by a building's occupant while walking. We characterize this application's performance for Edge and Cloud computing and utilize a hybrid scheme that (1) offers maximum of around 60% and 65% reduced latency compared to Edge and Cloud respectively for similar throughput performance and (2) enables processing of higher ingestion rates by eliminating network bottleneck. / Master of Science / Among the various emerging applications of Internet of Things (IoT) are Smart buildings, that allow us to monitor and manipulate various operating parameters of a building by instrumenting it with sensor and actuator devices (Things). These devices operate continuously and generate unbounded streams of data that needs to be processed at low latency. This data, until recently, has been processed by the IoT applications deployed in the Cloud at the cost of high network latency of accessing Cloud’s resources. However, the increasing availability of IoT devices, ubiquitous connectivity, and exponential growth in the volume of IoT data has given rise to a new computing paradigm, referred to as “Edge computing”. Edge computing argues that IoT data should be analyzed near its source (at the network’s Edge) in order to eliminate high latency of accessing Cloud for data processing. In order to develop efficient Edge computing systems, an in-depth understanding of the trade-offs involved in Edge and Cloud computing paradigms is required. In this work, we seek to understand these trade-offs and the potential benefits of Edge computing. We examine end to-end latency and throughput performance characteristics of Smart building streaming IoT applications by deploying them at the resource-constrained Edge and compare it against the performance that can be achieved by Cloud deployment. We also present a real-time streaming application to detect and localize the footstep impacts generated by a building’s occupant while walking. We characterize this application’s performance for Edge and Cloud computing and utilize a hybrid scheme that (1) offers maximum of around 60% and 65% reduced latency compared to Edge and Cloud respectively for similar throughput performance and (2) enables processing of higher ingestion rates by eliminating network bottleneck.

Internet of Things växer fort och förutspås bli en del av vardagen. Detta öppnar möjligheter för att skapa produkter som förenklar vardagslivet. Automatisk objektsidentifiering kombinerad med en automatiserad lagerstatus kan underlätta inventering, något som kan användas till exempel i smarta kylskåp för att göra vardagen enklare genom Internet of Things.Detta examensarbete studerar metoder inom objektsidentifikation för att ta fram ett system som automatiskt kan identifiera objekt och hantera lagerstatus. En prototyp framställdes och testades för att se vilka möjligheter som finns. Systemet använder en Raspberry Pi som basenhet, vilken använder Dlib-bibliotek för att identifiera objekt som har blivit fördefinierade. Vid okända objekt identifierar användaren objekt i en mobilapplikation, systemet kan genom detta lära sig identifiera nya objekt. Samma applikation används för att se lagerstatusen på de olika objekt som har registrerats av systemet. Prototypen klarar av att identifiera kända objekt samt att lära sig nya, enligt projektets mål. / Internet of Things is growing fast and is predicted to become a part of everyday life. This can be used to create products which will make everyday life easier. Automated object detection combined with an automated inventory check can make it easier to manage what is in stock, this is something that can be used in smart refrigerators as an example, to make life more convenient through Internet of Things. This Bachelor thesis studies methods regarding object detection with the purpose to build a system which automatically identifies objects and manages the inventory status. A prototype was built and tested to see what the possibilities there is with such a system. The Prototype uses a Raspberry Pi as core unit, which uses Dlib libraries to identify predefined objects. The user will identify unknown objects via the mobile phone application, which makes it possible for the system to learn how to identify new objects. The same application is used to check the inventory status for the different objects that has been identified by the system. The prototype can identify objects and learn to identify new ones, according to the goals of the project.

Streetlights are usually lit during all dark hours even though vehicles or other objects are not using the road. Instead of wasting energy on keeping the streetlights lit when no vehicles are using the road, the streetlights should be lit whenever vehicles are in proximity of the streetlights and turned off otherwise. A distributed network can be used to handle the communication between streetlights for sharing information about vehicles in proximity. There are streetlight systems that adapt from the environment and handles communication but are still not optimized for country roads with low frequency of vehicles. Therefore, distributed communication for streetlight systems is implemented, by letting the streetlights be a part of a distributed system. Each streetlight is represented with a Zolertia RE-Mote, a sensor for detecting objects and an LED. The representation of the streetlights are wirelessly connected as a mesh network where they can communicate with each other and forward data packets to nodes more far away in the network. The concept of having the streetlights in a distributed system is believed to work and can be considered to be applied on streetlights at country roads to save energy. / Gatlyktor är oftast tända under alla timmar då det är mörkt ute, även fast det inte är något fordon eller annat objekt som använder vägen. Istället för att slösa energi på att ha gatlyktorna tända när det inte är några fordon som använder vägen, bör gatlyktorna vara tända när fordon är i närheten av dem och släckta annars. Ett distribuerat nätverk kan användas för att hantera kommunikationen mellan gatlyktor till att dela information om fordon i närheten. Det finns gatlyktsystem som anpassar efter miljön och hanterar kommunikationen, men är inte optimerat för landsvägar med låg trafik. Därför är distribuerad kommunikation för gatlyktsystem implementerat genom att låta gatlyktorna vara en del av ett distribuerat system. Varje gatlykta är representerad med en Zolertia RE-Mote, en sensor för detektering av objekt och en LED. Representationen är trådlöst kopplat som ett meshnätverk där de kan kommunicera med varandra och skicka vidare datapaket till noder längre bort i nätverket. Konceptet att ha gatlyktorna i ett distribuerat system tros fungera och kan tänkas att appliceras på gatlyktor på landsvägar för att spara energi.

The extraction of metal and other natural resources has historically been and is still today an important part of Swedish society and its development. To keep pace with demand and at the sametime increase security, more and more digital technology has been implemented into the miningindustry. However, transforming an industry with the help of digital technology is no easy task and the mining industry faces unique challenges to overcome because of the complexity of the mining environment. Against this background the purpose of this study is to describe and analyse the challenges and enabling factors a small enterprise must face to implement Internet of things inan electronic filter indicator in the mining industry. To answer our research questions, we have useda qualitative case study with semi-structured interviews. The results show that the main challengesthat can prohibit an implementation of a filter indicator that has IoT qualities are environmentalaspects of mines such as gas, dust, and water along with challenges of network, connectivity, and power. Further challenges also exist connected to the development and implementation processes where qualified competence and skills are crucial for the success of a functional IoT product. Whatthis study shows are several enabling factors for implementing an IoT product in a specific mining company such as management of servers and data of various kinds, and an extensive network withseveral different connected products.

The manufacturing industry is quickly adapting to new technologies. Some of these trending technologies are virtual commissioning, virtual reality, and cloud-based technologies. This project summarizes these three technologies and aims to create a commissioning tool adapted to the 4.0 Industry. The project’s methodology was to analyse a problem and consequently create a solution that solves it. The process of designing and developing was repeated iteratively, each time an evaluation was made. The final product developed has shown that it is worth spending time introducing the cloudbased technologies inside many applications since it saves time and allows to work remotely. Applying virtual reality to virtual commissioning has proven to add efficiency. At the same time, it gives an immersive experience with a real-time display of quantitative data and the process itself in a visual mode without interfering with the actual production. With these two technologies, virtual commissioning evolves and goes a step further. This project also proved that the user experience and interface in this type of immersive applications need much attention on creating a comfortableinterface that does not fatigue or cause rejection in the user.

The purpose of this project is to make it easier to grow plants domestically all year round. The objective is to construct a remotely controllable and environmentally independent automated hydroponic system. This would minimize the efforts required by the user to sustain plants in non-native climates. A hydroponic gardening system uses water as a growth medium instead of soil. The system is climate conscious and has benefits compared to conventional agriculture. Hydroponic systems are affected by several factors, this project only focuses on controlling the light intensity by isolating the system, and regulating the nutrient concentration through EC. The system uses a microcontroller for analysis and control. The results are promising, showing that the system works. However, the limitations in time led to a short test period, therefore the data gathered is limited. The discussion based on the results conclude that the system cannot be considered completely automatic but reduces the need of manual labour. / Syftet med detta projekt är att göra det lättare att odla växter inhemskt året runt. Målet är att konstruera ett fjärrstyrbart och miljöoberoende automatiskt hydroponiskt system. Detta ska minimera ansträngningarna från användaren för att underhålla växter i icke-inhemska klimat. Ett hydroponiskt odlingssystem använder vatten som tillväxtmedium istället för jord. Tekniken har fördelar jämfört med konventionell odling vilket gör hydroponi mer miljövänligt. Hydroponiska system påverkas av flera faktorer, men detta projekt fokuserar bara på att kontrollera ljusintensiteten genom att isolera ljuset inom systemet samt att reglera näringsämne-koncentrationen genom att mäta den elektriska ledningsförmågan i vattnet. Systemet använder en mikrokontroll för analys och kontroll. Resultaten är lovande och visar att systemet fungerar. Däremot har begränsningarna i tid lett till en kort testperiod, därför är data som samlas in begränsad. Diskussionen baserad på resultaten drar slutsatsen att systemet inte kan anses vara helt automatiskt men reducerar behovet av manuell arbetskraft.

Edge computing facilitates applications of cyber-physical systems that require low latencies by moving compute and storage resources closer to the end application. Whilst the edge network benefits such systems in terms of responsiveness, it increases the systems’ complexity due to edge devices’ often heterogeneous and resource-constrained nature. In this work, we evaluate whether WebAssembly can be used as a lightweight and portable abstraction layer for such applications. Through the implementation of an edge network robot control scenario, we benchmark and compare the performance of WebAssembly against its native equivalent. We measure WebAssembly’s overhead and assess the impact of different placement options in the network. We further compare the overall application responsiveness against the latency requirements of an industrial application to evaluate its performance. We find that WebAssembly satisfies the portability and performance requirements of the selected industrial use case. Our empirical results show that WebAssembly doubles the execution latency in a localized setting, but does not excessively impact the overall responsiveness of a cyber-physical system. / Edge computing underlättar tillämpningar av cyberfysiska system som kräver låga latenser genom att flytta beräknings- och lagringsresurser närmare slutapplikationen. Även om edge-nätverket gynnar sådana system när det gäller reaktionsförmåga, ökar det systemens komplexitet på grund av edge-enheternas ofta heterogena och resursbegränsade natur. I detta arbete utvärderar vi om WebAssembly kan användas som ett lättviktigt och portabelt abstraktionslager för sådana applikationer. Genom att implementera ett robotkontrollscenario för edge-nätverk benchmarkar och jämför vi prestandan hos WebAssembly med dess inbyggda motsvarighet. Vi mäter WebAssemblys overhead och utvärderar effekten av olika placeringsalternativ i nätverket. Vi jämför även den övergripande applikationsresponsen mot latenskraven i en industriell applikation för att utvärdera dess prestanda. Vi konstaterar att WebAssembly uppfyller portabilitets- och prestandakraven för det utvalda industriella användningsfallet. Våra empiriska resultat visar att WebAssembly fördubblar exekveringslatensen i en lokaliserad miljö, men att det inte påverkar den övergripande responsiviteten i ett cyberfysiskt system i alltför hög grad.

In the prevailing industrial revolution, most industries are on the path towards the digitalization journey. To incorporate several digital technologies in the organization data reliability and accuracy act as key enablers. To achieve the set goals, the connectivity of the machines is considered a prominent endeavour. Such connectivity can be achieved by implementing IIOT technology, the connected IIOT architecture enables interoperability, where the computerized machine can seamlessly communicate and transfer information among them. The purpose of this study was to examine the potential impacts of integrating IIOT into the organizational framework and further explore the advantages gained in terms of productivity and maintenance. This intended study concentrated on the welding department in VCE and prioritized specific robots for the research. In addition, to improve the connectivity and visualize the data a customizable dashboard was created to facilitate real-time tracking of the robots and an alert system was developed to notify the problems in real-time. To carry out the study this research was intended to use a particular IIOT software Thingworx from the PTC community. The research was carried out with extensive interviews and personal observation on the shop floor following a qualitative analysis methodology. Through the interviews, the prioritized entities were focused and based on the end user’s requirement the selected data tags were visualized. Furthermore, the findings from the research were analyzed and discussed on how IIOT technology could potentially benefit an organization is presented. / I den rådande industriella revolutionen är de flesta industrier på väg mot digitaliseringsresan. Att införliva flera digitala teknologier i organisationen fungerar datatillförlitlighet och noggrannhet som viktiga möjliggörare. För att uppnå de uppsatta målen anses maskinernas anslutningsmöjligheter vara en framträdande strävan. Sådan anslutning kan uppnås genom att implementera IIOT-teknik, vilket möjliggör interoperabilitet, där den datoriserade maskinen sömlöst kan kommunicera och överföra information mellan dem. Syftet med denna studie var att undersöka de potentiella effekterna av att integrera IIOT i det organisatoriska ramverket och ytterligare utforska fördelarna som uppnåddes i termer av produktivitet och underhåll. Denna tilltänkta studie koncentrerade sig på svetsavdelningen i VCE och prioriterade specifika robotar för forskningen. För att förbättra anslutningen och visualisera data skapades dessutom en anpassningsbar instrumentpanel för att underlätta realtidsspårning av robotarna och ett varningssystem utvecklades för att meddela problemen i realtid. För att genomföra studien var denna forskning avsedd att använda en speciell IIOT-programvara Thingworx från PTC-gemenskapen. Forskningen genomfördes med omfattande intervjuer och observation på verkstadsgolvet enligt en kvalitativ analysmetodik. Genom intervjuerna fokuserades de prioriterade enheterna och baserat på slutanvändarens krav visualiserades de valda datataggarna. Vidare har resultaten från forskningen analyserats och diskuterats om hur IIOT-teknik potentiellt skulle kunna gynna en organisation.