Achievements in academia and industry indicate a move towards the creation of a giant smart system including objects of different sizes, shapes, and purposes where the Internet will be so diverse and more resourceful with the incorporation of different smart devices. Mid Swe-den University took a first step towards providing an appropriate plat-form for Internet of Things applications known as SensibleThings for the emerging intercommunication of “objects”, called Internet of Things. The SensibleThings platform has produced components for sharing sensor-based context information on the Internet, in order to enable Internet of Things applications. In this thesis the plan was to contribute to filling the gap between the IoT and developers in academia as well as in the industries. The aim of the project was to create basic functionality to enable users to find new interesting users on the IoT and prioritize existing users. To this end context information and user profile man-agement is proposed and presented. Furthermore, a comparison be-tween the platform with the proposed extension as well as without was compared and examined.

With the advent of the Internet of Things (IoT), its deployment and applications have grown exponentially in the past decade. This growth has had led scientists and stakeholders to the prediction that about 30 billion of things (IoT) will be connected by 2020 in diverse applications such as transport, healthcare, utility, education, and home automation. Large data streams generated by sensors; it can be data acquisition, storage, or processing, derived the development of cloud-based middleware (or otherwise known as IoT Platform) for IoT. To date, hundreds of IoT platforms fluxing the market (both open-source and commercial) with various complexities, pricing, and services. In this thesis, we proposed an IoT Platform Benchmarking Methodology comprised of four different evaluations namely; Technical, Usability, Sustainability, and Market Competency. We discussed in detail Technical Evaluation based on TPC-IoT benchmarking to evaluate the performance of any IoT platform. The main objective of this research is to provide insight into key parameters in each layer of the platform affecting the overall performance. A preliminary evaluation of data ingestion of open-source IoT platform will be presented based on benchmarking methodology (TPC-IoT).

The transformation of cities into smart cities is a common occurrence today, and one of the reasons is urbanization. Technology contributes to the ability to deal with new problems that arise. The number of IoT platforms has increased due to their flexibility and value addition regarding interoperability, processing of IoT data, and analysis capability. An IoT platform's capabilities are desirable, not least to municipalities today. Through IoT devices, such as sensors, the municipality can increase their awareness of the city’s surroundings and stay up to date through better insight into trends or new challenges. However, IoT is in its infancy compared to other markets, and there is a limited understanding of the IoT subject in municipal contexts. These aspects contribute to difficulties when municipalities take on trends for smart city initiatives. There is still a lack of design and development guidelines regarding ICT solutions to enable the development of a holistic smart city. The few current smart city deployments also make it challenging to validate which technology should be adopted to achieve the vision for the smart city. Therefore, the study investigates how a central IoT platform might benefit municipal departments in urban development projects. The case study conducted within the City of Stockholm generated ten benefits that might occur if the central IoT platform were available within the municipal departments' urban development projects. The benefits were divided into three themes: ·         Information and data management ·         Reasons to use IoT data ·         Interoperability between the central IoT platform and systems

Internet of things (IoT) which was once a vision is now reality in many sectors. Platform in the IoT ecosystem plays an important role in service provisioning journey by creating business value for the actors and enabling data management for the user. Service provisioning on IoT platform are application centric and is more focused on vertical development. Amalgamation of services, applications in IoT platform is the key in bringing data and society together. Interoperability and scalability is posing as hindrance for this hypothesis. On high level, identifying the cost drivers in these IoT platforms can be key for an actor to bring this hypothesis to reality. This work is one such attempt in providing cost breakdown and identifying cost drivers in IoT platform. A generic framework is proposed which dimensions the platform hardware and software to apprehend the design, development and operation cost of services considered. The framework is designed to proffer three deployment cloud strategies, On-premises, Infrastructure as a Service (IaaS) and Platform as a Service (PaaS). Three business use cases are tested on this framework to arrive at the cost structure, which in turn states the cost drivers. The results suggest storage, hardware replacement and software development are major chunk of cost in the structure driven by devices/sensors in the platform and message transmission rate from those devices. Additionally, a suggestion of deployment strategies are made on each use cases to avail cost efficient services. / Internet of Things (IoT) som en gång var en vision är nu verklighet i många sektorer. Plattformen i IoT-ekosystemet spelar en viktig roll i researrangemanget genom att skapa affärsvärde för aktörerna och möjliggöra datahantering för användaren. Tjänsteleverantörer på IoT-plattformen är applikationscentriska och är mer fokuserade på vertikal utveckling. Sammanslagning av tjänster, applikationer i IoT-plattformen är nyckeln till att föra data och samhället samman. Interoperabilitet och skalbarhet utgör hinder för denna hypotes. På hög nivå kan identifiering av kostnadsdrivarna i dessa IoT-plattformar vara nyckeln för en aktör för att få denna hypotes till verklighet. Detta arbete är ett sådant försök att tillhandahålla kostnadsfördelning och identifiera kostnadsdrivare i IoT-plattformen. Ett generiskt ramverk föreslås som dimensionerar plattformshårdvaran och programvaran för att fånga konstruktions-, utvecklingsoch driftkostnaderna för betraktade tjänster. Ramverket är utformat för att erbjuda tre implementeringsmolnstrategier, lokala, infrastruktur som en tjänst (IaaS) och plattform som en tjänst (PaaS). Tre fall för affärsanvändning testas enligt denna ram för att komma fram till kostnadsstrukturen, vilket i sin tur anger kostnadsdrivarna. Resultaten tyder på att lagring, hårdvarutbyte och mjukvaruutveckling är en stor del av kostnaden i strukturen som drivs av enheter / sensorer i plattformen och överföringshastighet för meddelanden från dessa enheter. Dessutom görs ett förslag om distributionsstrategier för varje användningsfall för att utnyttja kostnadseffektiva tjänster.

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In our progressively digitized world, the escalating demand for software solutions intensifies the need for proficient developers. Low-Code Development Platforms (LCDPs) present a promising approach to address this necessity, empowering individuals without traditional programming skills to create software applications. However, despite their potential, these platforms are often not accessible or intuitive for non-professional developers. This research examines the design of LCDPs, with an emphasis on enhancing the user experience for non-programmers. By investigating the usability of LCDPs and designing a prototype based on the findings, my aim is to contribute to the ongoing discussion about the democratization of software development and to propose enhancements that could make LCDPs more user-friendly, inclusive, and usable across devices. The research involves a combination of literature review, interviews, prototype development, and user testing, providing a multifaceted perspective on the topic. Moreover, it discusses potential implications for the design of LCDPs, as well as for the broader field of interaction design.

The master’s thesis deal with design and realization of measuring station, which process data from environmental sensors in IoT environment. Thesis includes research of sensors, cloud services for IoT, microcontrollers and environmental data available online. Thesis contains detailed procedure for realization of designed system, including code description for microcontrollers STM32W55 and STM32 B-L475E-IOT01A2 Discovery kit, configuration of IBM Watson IoT Platform cloud service and procedure for correct programming of Node-RED application responsible for logic of whole system. Source code, which might be used for simple implementation of designed system, is attached to the master’s thesis.