Internet of Things Based Technology for Smart Home System: A Generic Framework

Internet of Things (IoT) is a technology which enables computing devices, physical and virtual objects/devices to be connected to the internet so that users can control and monitor devices. The IoT offers huge potential for development of various applications namely: e-governance, environmental monitoring, military applications, infrastructure management, industrial applications, energy management, healthcare monitoring, home automation and transport systems. In this paper, the brief overview of existing frameworks for development of IoT applications, techniques to develop smart home applications using existing IoT frameworks, and a new generic framework for the development of IoTbasedsmart home system is presented. The proposed generic framework comprises various modules such as Auto-Configuration and Management, Communication Protocol, Auto-Monitoring and Control, and Objects Access Control. The architecture of the new generic framework and the functionality of various modules in the framework are also presented. The proposed generic framework is helpful for making every house as smart house to increase the comfort of inhabitants. Each of the components of generic framework is robust in nature in providing services at any time. The components of smart home system are designed to take care of various issues such as scalability, interoperability, device adaptability, security and privacy. The proposed generic framework is designed to work on all vendor boards and variants of Linux and Windows operating system

Recent advances in industrial wireless sensor networks towards efficient management in IoT

With the accelerated development of Internet-of- Things (IoT), wireless sensor networks (WSN) are gaining importance in the continued advancement of information and communication technologies, and have been connected and integrated with Internet in vast industrial applications. However, given the fact that most wireless sensor devices are resource constrained and operate on batteries, the communication overhead and power consumption are therefore important issues for wireless sensor networks design. In order to efficiently manage these wireless sensor devices in a unified manner, the industrial authorities should be able to provide a network infrastructure supporting various WSN applications and services that facilitate the management of sensor-equipped real-world entities. This paper presents an overview of industrial ecosystem, technical architecture, industrial device management standards and our latest research activity in developing a WSN management system. The key approach to enable efficient and reliable management of WSN within such an infrastructure is a cross layer design of lightweight and cloud-based RESTful web service

Review of computer vision in intelligent environment design

This paper discusses and compares the use of vision based and non-vision based technologies in developing intelligent environments. By reviewing the related projects that use vision based techniques in intelligent environment design, the achieved functions, technical issues and drawbacks of those projects are discussed and summarized, and the potential solutions for future improvement are proposed, which leads to the prospective direction of my PhD research

Automatic discovery and classifications of IoT devices

In the last few years a new concept has gained ground in the technology world. With an increasingly dominant role in our days, Internet of Things (IoT) is a technological revolution that is changing our lives. The imagination is the limit regarding the new devices that may rise in the market. This phenomenon is derived from technology evolution and the growing acceptance of this type of products in our everyday life. Faced with such diversity, growing and with the existing uncertainty about the new devices emerging in the market, there is a need to integrate each new device in our lives. However, nowadays, there is no existing structure prepared for the expectable emerging diversity in the IoT world. This work aims to provide some help in this specific point by contributing to the automation of part of the device integration process. Applications that integrate devices from many different vendors are now available, but still rely on manual configuration by the application developers for every new device integrated, which is tedious and requires application updates to be rolled out frequently. An application that can discover the new device properties, and decide to which class of devices it belongs to can automatically generate an interface and the necessary integration drivers for the new device with no/less human intervention. The demonstration that it is possible to classify devices based on their communication properties is this works’ main contribution. To achieve this goal we need to identify the device that is communicating inside a network using the information shared by IoT devices. The final results show that IoT communication data can be used to identify the device, mainly if in possession of a considerable sized device information database.info:eu-repo/semantics/acceptedVersio

Automatic Integration of IoT Devices

During the last years a new concept has gained prominence in the technology world. With an increasingly dominant role in our days, Internet of Things (IoT) is a technological revolution that is changing our lives. The imagination is the limit for the new devices that may appear in the market. This phenomenon is derived from both, the technological evolution and the growing acceptance of this type of products in our social life. Faced with a fast growth, an increasing diversity and with the existing uncertainty about the new devices emerging in the market, there is a need to integrate each new device in our lives. However, nowadays, there is no existing structure prepared for the actual diversity in IoT world. Applications that integrate devices from many different vendors are now available, but these rely on manual configuration by the application developers for every new device integrated, which is tedious and requires application updates to be rolled out frequently. An application that can discover the new device properties, and decide to which class of devices it belongs to can automatically generate an interface and the necessary integration drivers for the new device with no/less human intervention. This is the main direction of this works’ contribution. To achieve this goal we need to identify the device that is communicating inside a network using the information shared by IoT devices. The final results show that IoT communication data can be used to identify the device, mainly if in possession of a considerable sized device information database.Durante os últimos anos um novo conceito ganhou destaque no mundo da tecnologia. Com um papel cada vez mais dominante nos nossos dias, IoT é uma revolução tecnológica que está a mudar as nossas vidas. A imaginação é o limite em relação aos novos dispositivos que surgem no mercado. Este fenómeno é impulsionado pela evolução da tecnologia e crescente aceitação deste tipo de produtos no nosso dia a dia. Perante tal diversidade, crescimento e com a incerteza existente sobre os novos dispositivos emergentes no mercado, existe a necessidade de integrar cada novo dispositivo nas nossas vidas. No entanto, hoje em dia, não existe uma estrutura preparada para a actual diversidade existente dentro do mundo da IoT. Actualmente já existem aplicações para integrar dispositivos de diferentes fabricantes, mas estão dependentes de uma configuração manual por parte dos programadores para cada novo dispositivo integrado, o que é trabalhoso e exige o lançamento de atualizações com frequência. Uma aplicação que consiga descobrir as novas propriedades do dispositivo e decidir a que classe de dispositivos pertence, pode gerar automaticamente uma interface e os controladores de integração necessários para o novo dispositivo com menor, ou mesmo sem qualquer intervenção humana. Este é o ponto principal da contribuição deste trabalho. Para atingir esse objetivo é necessário identificar o dispositivo que está a comunicar dentro de uma rede utilizando as informações compartilhadas pelos mesmos. Os resultados finais mostram que os dados de comunicação podem ser usados para identificar o dispositivo, principalmente se existir uma base de dados de informações de dispositivos IoT de tamanho considerável

Implementation and Analysis of Communication Protocols in Internet of Things

Internet of Things (IoT) is the future of all the present-day devices around the globe. Giving them internet connectivity makes IoT the next frontier of technology. Possibilities are limitless as the devices communicate and interact with each other which make it even more interesting for the global markets. For example, Rolls-Royce announced that it would use the Microsoft Azure IoT suite and also the Intelligence suite of Cortana to keep track of the fuel usage, for performance analysis, to optimize the fly routes etc. which improves the airline efficiency. The devices must communicate with each other, the data from these devices must be collected by the servers, and the data is then analyzed or provided to the people. For all this to happen, there is a need for efficient protocols to ensure that the communication is secure and to avoid loss of data. This research is about the implementation and analysis of various protocols that can be used for the communication in IoT. Various protocols with various capabilities are required for different environments. The internet today supports hundreds of protocols from which choosing the best would be a great challenge. But each protocol is different in its own way when we have the specifics like security, reliability, range of communication etc. This research emphasizes on the best available protocols and the environments that suit them the most. It provides an implementation of some of the protocols and analyzes the protocols according to the results obtained. The data collected from the sensors/devices through a protocol is also subject to predictive analysis which improves the scope of the project to performing data analysis on the data collected through IoT