WF-IoT 2014 Videos

View videos from the 2014 IEEE World Forum on Internet of Things (WF-IoT)
6-8 March 2014, Seoul, Korea

Davide Macagnano, Centre for Wireless Communications, University of Oulu, Finland; Giuseppe Destino, CWC, University of Oulu, Finland; Giuseppe Abreu, Jacobs University Bremen, Germany

Motivated by the recent advances on internet of things (IoT) and the importance that location information has on many application scenarios, this article offers references to theoretical and localization-algorithmic tools that can be utilized in connection with IoT. We develop this discussion from basic to sophisticated localization techniques covering also some less-intuitive notions of localization, e.g. semantic positioning, for which we provide a novel solution which overcome the problem of privacy. We analyze the localization problem from a mathematical perspective; reviewing the most common and best-performing class of localization methods based on optimization and algebraic approaches and we discuss benefits of location information in a wireless system. In this regard we discuss few concrete applications scenario currently under investigation in the largest EU project on IoT, namely the FP-7 Butler project, how location information is one of the key enabling technology in the IoT. In addition to the theoretical aspect, this article provides references to the pervasive localization system architecture using the smart sensors developed within the Butler project.

Mohamed Seliem, Cairo University, Egypt; Khaled Elsayed, Cairo University, Egypt; Ahmed Khattab, Cairo University, Egypt

IPv6 Neighbor Discovery (ND) based on RFC4861 is not designed for non-transitive wireless links. Its heavy use of multicast transmission makes it inefficient and sometimes impractical for IPv6 over Low power Wireless Personal Area Networks (6LoWPAN). Recently, some optimizations have been proposed by Internet Engineering Task Force (IETF) to make ND more suitable for 6LoWPAN. In this paper, we provide an implementation of the most prominent features of the new optimized ND protocol based on RFC 6775 over the Contiki OS. First, we evaluate the performance of the basic non-optimized IPv6 ND protocol, and analyze its implemented functions to set up a good foundation for our implementation and to maintain compatibility. Then, we implement the new optimized Router Solicitation (RS) and Router Advertisement (RA) messaging scheme that reduces the effect of multicasting and unfavorable periodic RA messages. Our results show that the optimized ND protocol reduces the number of the exchange radio messages in the network by 60-80%. Such optimization alleviates network congestion and saves more power.

Giuseppe Destino, CWC, University of Oulu, Finland; Davide Macagnano, Centre for Wireless Communications, University of Oulu, Finland

Semantic positioning is a new paradigm emerging with the Internet-of-Things (IoT) technology and its application to context-aware services in smart-spaces. Specifically, it refers to the problem of detecting user actions and locations based on prior characterization of the space and sensed data. Differently from classic positioning, input data are measurements of the interaction between human and sensors and location information is not a vector of coordinates but a point in a topological map. In this paper, we tackle this challenge with a mere passive monitoring system in order to preserve user privacy, handle device heterogeneity, energy efficiency and utilizing low-complexity sensors that are able to capture events generated by human actions. We develop a structured scarcity model based on the notion of discrete Radon transforms on homogeneous space in order to construct mappings from events to actions and from actions to semantic locations. We propose algorithms for human activity detection and semantic positioning. Specifically, the Least Absolute Residual and Shrinkage Operator (LARSO) for human action detection, and a mixed-norm optimization to perform semantic positioning. Simulation results are shown to validate the proposed model and compare different algorithms.

Chung-Sheng Li, Director of Commercial Systems, IBM, T.J. Watson Research Center

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 action based on the models is 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.

Ingo Friese, Telekom Innovation Laboratories, Berlin, Germany

Discusses object identifier and namespace, authentication and authorization, ownership and identity relationships, and governance of data and privacy.

Andreas Kamilaris, University of Cyprus and University of Singapore; Koula Papakonstantinou and Andreas Pitsilides University of Cyprus

Discusses the use of a domain name system (DNS) as a discovery mechanism for the Internet and the Web of Things.

Ilyoung Chong, Hankuk University of Foreign Studies, Korea, and Mihaela Brut of Thales Services, France

This interview discusses the web of objects – what it is; how important it is for our lives and the economy; the core technologies for the web of objects; the relationship between Web of Objects and Internet of Things (IoT); and the role of related standards.

Vida Ilderem, Vice President of Intel Labs, Director of the Integrated Computing Research, Intel Corporation

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.

Helmut Zuerner, Global Betwork Product Technology & Strategy, Verizon, Germany

What is a greenfield model and why do we need it? This presentation explores the need to step back and look at things more holistically, which isn’t happening enough with the Internet of Things, despite how complex it is with the need for interoperability, data traffic controls, security, storage, and much more. It’s important to look at the concepts first, and break it down further....

Davide Macagnano, Centre for Wireless Communications, University of Oulu, Finland; Giuseppe Destino, Centre for Wireless Communications, University of Oulu, Finland; Giuseppe Abreu, Jacobs University Bremen, Germany

Although during the last decade considerable efforts have been invested in the integration of different wireless technologies, a new surge of interest is arising due to the upcoming internet of things (IoT) in which many relevant application scenarios rely on location information. However, due to the heterogeneity of the devices, ergo the heterogeneity of information available, novel indoor positioning algorithms capable to account for different types of information must be designed. Differently from the vast majority of localization solutions currently available, which rely on one specific type of observation, \emph{e.g.} range information only, in this article we consider the localization problem of multiple sources from range and angle measurements. To this end we first study the benefit of heterogeneous information via the rigidity theory and the Cram\`{e}r-Rao Lower Bound (CRLB) and then we show how to utilize an extension of the Euclidean-kernel, i.e. the Edge-kernel, to perform robust positioning under Non-Line-of- Sight (NLOS) conditions. In particular with reference to the latter contribution it is shown how to exploit the robust principal component analysis theory to improve the edge-kernel recovery and in turn the estimated target's locations.

Oleg Logvinov, Co-Chair, ST Microelectronics, Director of Special Assignments for Industrial and Power Conversion Division

Oleg provides his definition of the Internet of Things, discusses the importance of IoT for our lives and the economy, what the core technologies are for IoT, and what the relationship is between D2D and M2M and the Internet of Things, among other things.

Kyungwhoon Cheun, Senior Vice President, Samsung Electronics DMC R&D Center

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 equipment 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.