A Study of CoT Architecture for Interworking between IoT Networks and Cloud Using IETF CoAP and OCF IoTivity

Abstract

In the modern intelligent life, data is everywhere, it is necessary to collect the data and extract useful part for analysis. To collect and extract useful data, the Internet of Things (IoT) technology is important, it is able to emerge paradigm that manages billions of devices, gateways, sensors, and actuators connected to the Internet, and support intelligent services based on huge context data. The IoT technology has obtained great development over the last few years and is increasingly influencing various industrial development, the IoT infrastructures and systems have been deployed to various important area, frequently used for building smart environment, such as smart cities and smart homes. Clouds are also wildly used for huge data repository and Internet services in various fields. Besides, building the connection between IoT devices and cloud is very useful and convenient. In this paper, we present the CoT architecture based on IoT and Cloud using IETF CoAP and OCF IoTivity. And we design and implement five CoT architectures based on the combine of IoT and cloud for connectivity between IoT Networks and cloud. There are five different architectures which are able to collect massive sensing data from IoT devices and then upload the data to cloud for the further analysis. This paper present first CoT architecture using IETF CoAP for interworking local Cloud and IoT platforms. This architecture connects IoT devices and IoT platforms, and interconnets IoT platform and Local Cloud for collecting huge sensing data. We design and implement the first CoT architecture based on agent for interworking local Cloud and IoT Networks. We use Hadoop Distributed File System (HDFS) for local Cloud. IoT platform is able to upload sensing data to HDFS using IETF CoAP. Next, we introduce the second CoT architecture based on agent for interworking local Cloud and IoT Networks. This architecture connects IoT devices and local Cloud based on agent directly. And we design and implement the second CoT architecture based on agent for interworking local Cloud and IoT Networks. We use HDFS for local Cloud. There is an agent that is able to get sensing data from IoT devices and upload the data to HDFS using IETF CoAP. And, we describe the third CoT architecture using MQTT for interworking global Clouds and IoT networks. And we design and implement the second CoT architecture using AWS, Azure, and Google Cloud used as global cloud. The CoT architecture communicates between global Clouds and IoT networks using MQTT protocol and store the sensing data. And we compare IoT services based on global Clouds for huge context acquisition in large scale IoT networks. The comparison helps users to choose easily IoT service based on Cloud. Hence, it is necessary to collect the context data easily and extract useful part for information analysis and usage in Cloud based on IoT. Forth, we propose the CoT architecture for global cloud and IoT networks based on proxy. The proxy is able to get sensing data from IoT networks and send to store in cloud (AWS IoT, Azure IoT Hub, and Google Cloud IoT Core) using OCF IoTivity and MQTT protocol. After some experiments we also compare the IoT cloud services of AWS, Azure, and Google Cloud Platform. Finally, we present the fifth CoT architecture based on IETF CoAP for vehicle monitoring service. And the administer controls and monitors own vehicles, and uploads vehicle state to cloud. Other clients make able to monitor vehicles states and get vehicle state from cloud.