Internet of Things (IoT), aims at enabling interactions between devices ranging from wireless sensors/actuators to smart meters, with little or no human intervention. This tutorial proposes an overview of IoT application architectures and discusses the related research issues. It comprises two parts. In the first part, we give background information. The standard system architectures proposed so far for IOT (e.g. ETSI M2M architecture, Wimax M2M architecture) are introduced along with the standard communications and networking technologies (IEEE 802.15.4, Zigbee, 6LoWPAN) on which they rely. We also discuss concrete IOT application use cases, gives insights in the application architecture related - challenges, and derive requirements. In the second part, the body of knowledge in application architectures is reviewed in light of the requirements. The review includes the middleware proposed so far (e.g. RESTful Web services based - middleware). It also includes the applications layer protocols being developed (e.g, IETF CoAP) for IOT. In addition the emerging cloud architectures (e.g. virtualization architectures for cost efficient IoT application provisioning) and 4G Evolved Packet Core (EPC) architectures (e.g. differentiated QoS architectures for IoT applications) are introduced. Concrete use cases are presented for illustration purpose. Strengths and weaknesses are assessed. Related research directions are identified.

The need for a common service platform for IoT/M2M applications is becoming increasingly critical. Though many IoT/M2M services, such as smart home, smart energy, eHealth and connected vehicle, already exist for several years, they involve complex effort in design and development of underlying network control such as authentication, access control, information storage and retrieval, device connection and application logic. To make it worse, this effort is often tied to a specific type of device, network, and application in a vertical market. Consequently, the same or similar effort needs be repeated again when developing the IoT/M2M services with a different type of device, network, or application. This tutorial addresses this critical need of the IoT/M2M. We will first introduce to the audience the current landscape and new trends of the IoT/M2M, then articulate the needs and requirements of a common IoT/M2M platform. In order for such a common service platform to be useful, an international standard is required to facilitate interoperability and build economies of scale. Thus, we will give a survey of the effort in international standards for IoT/M2M common service platforms. Finally, we will present the experiments of developing IoT/M2M applications over a standard common service platform at NCTU.

This Tutorial focuses on the convergence of the Internet of Things (IoT) and Social Network paradigms towards the deployment of a social network wherein things establish social links as humans do. This concept is fast gaining ground as demonstrated by scientific studies and commercial platforms developed by companies, such as Ericsson, Evrythng and Paraimpu. The tutorial addresses the scalable discovery and search of Things and relevant services, privacy and security of information handled by Things, heterogeneity of Things, interactions among heterogeneous Internet resources, and new communication paradigms applicable to the Internet of trillions of objects. In this context, social networks provide powerful solutions to create a social structure among members that guarantees network navigability and enables effective service discovery while guaranteeing scalability. The social links also constitute a remarkable basis for the management of the Things trustworthiness. Additionally, the social network is proven to be a very influential way for making visible each node in a network of trillions of members. Within the Tutorial, all the different aspects of the cited topic will be thoroughly addressed by finalizing them to the constitution of the background for the definition of new paradigms for data networking in the future Internet.

The advent of low-cost, low-profile electronic components is rendering more objects around us to gain intelligence and the ability to communicate via the Internet, hence the Internet of Things (IoT). Business analysts estimate that up to a trillion devices will be equipped with connectivity by 2020, contributing to IoT market potential in the range of tens of trillion of dollars. Meanwhile, Samsung has been driving the IoT revolution through innovations in key components such as CPU, flash, and wireless network equipments for LTE and Wi-Fi. Moreover, Samsung remains one of the leading providers for devices such as Smartphones, Smart TVs, and Wearables, which collectively represent a significant portion of the "Things". For vertical market solutions, Samsung is actively involved across a wide spectrum of topics such as Smart home, Connected cars, Connected health, Digital signage, and Smart retail. In this talk, we will first assess the current IoT technology, identify key issues and challenges and conclude by illustrating the future R&D direction.

Tens of billions of interconnected devices by 2020, a prediction that is both exciting and challenging that provides rich opportunities for innovation. The technology industry at large is mobilizing and realizing a greater vision for Internet of Things, one that encompasses sensing and sensing platforms, mobile and fixed gateways, analytics and big data, security, manageability, and interoperability. To realize this vision, we need to innovate in many disciplines and drive for common frameworks and standards. This talk will focus on IoT technology innovation challenges and opportunities for this segment of the embedded market.

The introduction of pervasive and ubiquitous instrumentation within a smarter planet and internet of things leads to unprecedented real-time visibility of the power grid, traffic, transportation, water, oil & gas, and personal health. Interconnecting those distinct physical, people, and business worlds through ubiquitous instrumentation, even though still in its embryonic stage, has the potential to unleash a planet that is much greener, more efficient, more comfortable, and safer.

In this talk, we will describe the opportunities and challenges after applying intelligence on interconnected and instrumented worlds and call out the system of systems trend on interconnecting these distinct but interdependent worlds. It has become increasingly crucial that digital representations of these distinct worlds (a.k.a. models) need to be created as a pre-requisite in order to assess the complexity, maneuver through uncertain environments and eventually achieve the predicted outcome.

The starting point of such an Internet of Things solution is always the real world itself - whether it is smarter grids, buildings, supply chains or water systems. The instrumentation provides a mechanism to facilitate high-fidelity capture of the real world into the observed world, which is often based on models of the real world. These digital representations (or models) facilitate stitching together or assimilating the data captured from the instrumented world and enable interpolation and extrapolation of those areas where data were not available or contaminated. In many cases, these models allow the generation of the most plausible hypothesis to explain the available information. From these models, the expected outcome is generated through simulation and/or predictive analysis. The course of actions based on the models are then taken for command and control (or actuating) the real world.

A smarter planet solution requires optimal or near optimal orchestration of the control flow and information flow. The "music notes" of the orchestration really came from the behavior models assimilated from the real-world information. Consequently, developing models at the behavior levels is often necessary to facilitate the optimal orchestration of the generation, management, and continuous assurance of the business outcome.

IoT is comprised of smart machines interacting and communicating with other machines, objects, environments and infrastructures and then will encompass all aspects for our lives. As a result huge volumes of data are being generated, and that data being processed into useful actions that can make our lives much easier and safer. It requires total convergence of overall technologies-from sensing, embedded processing and connectivity to platform software and applications in order to become a reality. IoT also has a highly fragmented market, especially hundreds of IoT-related applications being considered and identified by different industries: Automotive & Transportation, Wellness & Care, Moving Asset, Facility & Building, Utility & Energy, Safety & Security, Commerce Retail, Consumer Electronics, and Environment & Agriculture. For a wide variety of these services IoT requires low energy consumption, cost-effectiveness, quality and reliability as well as sophisticated processing that can track of all of connected devices, communicate with them and translate their functionality into useful applications. More than all, full security is essentially needed across the entire signal path. All these requirements mean no one company can develop full solutions. IoT-based innovations will require a broad, rich ecosystem of partner companies working together to bring IoT services to the market. Regarding these points SK telecom's IoT Biz strategy and R&D status will be addressed in this talk.