Submitted by LUIS FERNANDO CASTILHO MASCHI null (maschibr@yahoo.com.br) on 2018-03-27T13:55:29Z No. of bitstreams: 1 SUMARIZAÇÃO DE DADOS NO NODO POR PARÂMETROS.pdf: 1425727 bytes, checksum: 7815d75156e3306a56b50c9922887e5d (MD5) / Rejected by Elza Mitiko Sato null (elzasato@ibilce.unesp.br), reason: Solicitamos que realize correções na submissão seguindo as orientações abaixo: Problema 01) O ano descrito na CAPA e na FOLHA DE ROSTO deverá ser o ano de entrega da dissertação na Seção Técnica de Pós-Graduação. Problema 02) A FICHA CATALOGRÁFICA (Obrigatório pela ABNT NBR14724) deve ser a elaborada pela Biblioteca, na sua ficha falta número do CDU, palavras-chave. Problema 03) Falta a data na FOLHA DE APROVAÇÃO, que é a data efetiva da defesa. Problema 04) Faltam as palavras-chave no abstracts e no resumo. Estou encaminhando anexo um modelo das páginas pré-textuais. Lembramos que o arquivo depositado no repositório deve ser igual ao impresso. Agradecemos a compreensão on 2018-03-27T17:55:34Z (GMT) / Submitted by LUIS FERNANDO CASTILHO MASCHI null (maschibr@yahoo.com.br) on 2018-05-03T13:41:48Z No. of bitstreams: 2 SUMARIZAÇÃO DE DADOS NO NODO POR PARÂMETROS.pdf: 1425727 bytes, checksum: 7815d75156e3306a56b50c9922887e5d (MD5) SUMARIZAÇÃO DE DADOS NO NODO POR PARÂMETROS.pdf: 1342697 bytes, checksum: b2357258f4e04e3d3eafb7b6023c58ad (MD5) / Rejected by Elza Mitiko Sato null (elzasato@ibilce.unesp.br), reason: Solicitamos que realize correções na submissão seguindo as orientações abaixo: Anexar um arquivo só; data da defesa por extenso (28 de fevereiro de 2018); tirar folha em branco antes da dedicatória; colocar o Campus de Rio Claro na natureza da pesquisa. Agradecemos a compreensão. on 2018-05-04T21:30:57Z (GMT) / Submitted by LUIS FERNANDO CASTILHO MASCHI null (maschibr@yahoo.com.br) on 2018-05-11T20:01:50Z No. of bitstreams: 1 SUMARIZAÇÃO DE DADOS NO NODO POR PARÂMETROS.pdf: 1342185 bytes, checksum: 30fe378e25bc78d274d13f711fb3d38c (MD5) / Approved for entry into archive by Paula Torres Monteiro da Torres (paulatms@sjrp.unesp.br) on 2018-05-11T22:36:59Z (GMT) No. of bitstreams: 1 maschi_lf_me_sjrp_int.pdf: 1342185 bytes, checksum: 30fe378e25bc78d274d13f711fb3d38c (MD5) / Made available in DSpace on 2018-05-11T22:36:59Z (GMT). No. of bitstreams: 1 maschi_lf_me_sjrp_int.pdf: 1342185 bytes, checksum: 30fe378e25bc78d274d13f711fb3d38c (MD5) Previous issue date: 2018-02-28 / Com o surgimento da Internet das Coisas, por meio de bilhões de objetos ou dispositivos inseridos na Internet, gerando um volume de dados nunca antes imaginado. Este trabalho propõe uma maneira de coletar e processar dados locais através da tecnologia de fusão de dados chamada de sumarização de dados. A principal característica desta proposta é a fusão local de dados, através de parâmetros fornecidos pela aplicação e/ou base de dados, garantindo a qualidade dos dados coletados pelo nodo do sensor. Nos testes, um nodo sensor com a técnica proposta, aqui identificada como Sumarização de Dados no Nodo por Parâmetros (SDNP), realiza a sumarização de dados e posteriormente é comparado com outro nodo que realizou uma gravação contínua dos dados coletados. Foram criados dois conjuntos de nós para estes testes, um com um nodo de sensor que analisou a luminosidade de salas de aula, que neste caso obteve uma redução de 97% no volume de dados gerados, e outro conjunto que analisou a temperatura dessas salas, obtendo uma redução de 80% no volume de dados. Através desses testes, verificou-se que a sumarização de dados local no nodo pode ser usada para reduzir o volume de dados gerados, diminuindo assim o volume de mensagens geradas pelos ambientes IoT. / With the advent of the Internet of Things, billions of objects or devices are inserted into the global computer network, generating and processing data in a volume never before imagined. This work proposes a way to collect and process local data through the data fusion technique called summarization. The main feature of the proposal is the local data fusion through parameters provided by the application, ensuring the quality of data collected by the sensor node. In the tests, the sensor node was compared when performing the data summary with another that performed a continuous recording of the collected data. Two sets of nodes were created, one with a sensor node that analyzed the luminosity of the room, which in this case obtained a reduction of 97% in the volume of data generated, and another set that analyzed the temperature of the room, obtaining a reduction of 80 % in the data volume. Through these tests, it has been verified that the local data fusion at the node can be used to reduce the volume of data generated, consequently decreasing the volume of messages generated by IoT environments.

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.

No description available.

AF’s office in Karlstad currently offer consultation regarding Internet of Things but are looking to expand into development of services. They have requested that an end-to-end solution is developed in order to demonstrate the technology to potential clients. This thesis describes the work performed to realize an end-to-end solution for connecting sensors and actuators to the cloud. It also describes the problems experienced while working with Microsofts platform for cloud services, Azure. / Företaget ÅFs Karlstadkontor bistår i dagsläget med konsultering gällande Internet of Things men vill även börja utveckla och sälja tjänster. För att kunna demonstrera teknologin för potentiella kunder har de begärt att en end-to-end-lösning utvecklas. Den här uppsatsen beskriver det arbete som har utförts för att realisera en end-to-end-lösning för att koppla sensorer och ställdon till molnet. Den redogör även för de svårigheter som upplevdes gällande Microsofts plattform för molntjänster, Azure.

The Internet of Things (IoT) is growing rapidly these years and the influence of IoT on everyday life and behavior are also increasing. It is a network that connects physical devices, vehicles, buildings, and other items and embedded with electronics, software, sensors, actuators, and network connectivity so that these objects can collect and exchange data. It has been utilized in lots of domains, such as transportation and logistics domain, healthcare domain, smart environment domain, personal and social domain. It is estimated that the IoT will consist of almost 50 billion objects by 2020. IoT Gateway is really important in IoT, which can bridge traditional communication networks with sensor networks to make the network communication easier. IoT communication is of vital importance in today’s life. This study has the aim of integrating and evaluating of IoT gateways and IoT communication systems. It proposes a scenario where the IoT gateway connects to an actuator in order to control the actuator and transmit the data via the IoT communication system, creates a demonstrator by setting up the communication between the IoT gateway platform and the IoT communication system, measures and evaluates the performance in terms of latency and throughput using the implemented scenario, and at last draws the conclusion.

The Internet of Things (IoT) provide the possibility to build dynamic industrial systems and applications to improve the quality of production in industrial areas. There are many Industrial IoT Gateways (IoTGWs) available on the market, all of which have different functionalities and properties. Here, the different properties of the IIoTGWs were explored, with the researcher’s as well as vendor’s perspective in mind. The most important properties were identified using research papers and technical data sheets, based on this, a model was created. The model showed the best two gateways available in the database. The results show that methods used can be applied in future research.

With the Internet of Things becoming more and more popular, and a prediction that there will be more than 50 million devices connected to the Internet in 2020, the quantity of IoT platforms on the market is rapidly growing. Facing so many platforms to choose, the object of this thesis is to give some suggestions for reference by performing a quantitative comparison between two platforms: SensibleThings and Kaa. These two platforms have difference architectures so may suitable in different scenes. The comparison includes some measurement and evaluation under two designed scenarios and a general contrast in theory. Two scenarios cover cases of message delivery between two endpoints at different rates and multiple endpoints pushing log data continually. The result of measurement together with the theoretical analysis draw out the following conclusion. SensibleThings platform is more suitable for simple and small-scale message delivery between endpoints, like home environment with few devices. And Kaa platform is more suitable for large-scale and complicated application for data collection and processing, like meteorology field with huge amount of sensors and data.

With the development of the Internet-of-Things, more and more IoT platforms come up with different structures and characteristics. Making balance of their advantages and disadvantages, we should choose the suitable platform in differ- ent scenarios. For this project, I make comparison of a cloud-based centralized platform, Microsoft Azure IoT hub and a fully distributed platform, Sensi- bleThings. Quantitative comparison is made for performance by 2 scenarios, messages sending speed adds up, devices lie in different location. General com- parison is made for security, utilization and the storage. Finally I draw the con- clusion that SensibleThings performs more stable when a lot of messages push- es to the platform. Microsoft Azure has better geographic expansion. For gener- al comparison, Microsoft Azure IoT hub has better security. The requirement of local device for Microsoft Azure IoT hub is lower than SensibleThings. The SensibleThings are open source and free while Microsoft Azure follow the con- cept “pay as you go” with many throttling limitations for different editions. Microsoft is more user-friendly.

The Internet of Things (IoT) are small, sensing, network enabled computing devices which can extend smart behaviour into resource constrained domains. This thesis focus on evaluating the viability of Linux containers in relation to IoT devices. Three research questions are posed to investigate various aspects of this. (1) Can any guidelines and best practices be derived from creating a Linux container based security enhanced IoT platform? (2) Can the LiCShield project be extended to build dynamic, default deny seccomp configurations? (3) Are Linux containers viable on IoT platforms in regards to operational performance impact? To answer these questions, a literature review was conducted, research gaps identified and a research methodology selected. A Linux-based container platform was then created in which applications could be run. Experimentation was conducted on the platform and operational measurements collected. A number of interesting results was produced during the project. In relation to the first research question, it was discovered that the LXC templating code created could probably benefit other Linux container projects as well as the LXC project itself. Secondly, it was found that a robust, layered containerized security architecture could be created by utilizing basic container configurations and by drawing from best practices from LXC and docker. In relation to the second research question, a proof of concept system was created to profile and build dynamic, default deny seccomp configurations. Analysis of the system shows that the developed method is viable. In relation to the final research question; Container overhead with regards to CPU, memory, network I/O and storage was measured. In this project, there were no CPU overhead and only a slight performance decrease of 0.1 % on memory operations. With regards to network I/O, a speed decrease of 0.2 % was observed when a container received data and utilized NAT. On the other hand, while the container was sending data, a speed increase of 1.4 % was observed while the container was operating in bridge mode and an increase of 0.9 % was observed while utilizing NAT. Regarding storage overhead, a total of 508 KB base overhead was added to each container on creation. Due to these findings, the overhead containers introduce are considered negligible and thus deemed viable on IoT devices.

In our day to day activity, imagine if you go to a museum, hospital or any kind of huge building. You need to find the best way to get into a specific depart- ment. It might be difficult to find the way even if you have the map of the building in your hand. Indoor positioning systems can be used to locate people or objects inside a building, using radio waves, signals, or other sensory information collected by a smartphone or tablet. Bluetooth Low Energy (BLE) beacons broadcast signals, and bluetooth devices, such as smartphones, can then receive these signals. BLE devices can take Received Signal Strength Indication (RSSI) information together with an algorithm to calculate the location of the user. This is a useful method for indoor environments when using Global Positioning System (GPS) is not an option [1]. In this project I tried to find a better solution for localization and navigation when GPS does not work. The focus of the project is to use communication be- tween smartphones and beacons, for guidance in inside environments, without using GPS. This thesis is about the applications I produced, which can be used for indoor localization and navigation. Using the applications, you can map any building such as university, hospital, museum, big mall etc. To map a building, you upload a map of the building and put waypoints where you placed beacons. Once mapping is done, you can log in to the web admin and put some informa- tion for each beacon. As a user, when outside a nearby mapped building, your phone can get notified (trough bluetooth), and you can download the user app, which includes the map of the building and shows your location. With the user app you can easily find your favorite places in the building and get information about place near you.