Improve the Sustainability of Internet of Things Through Trading-based Value Creation

Internet of Things (IoT) has been widely discussed over the past few years in technology point of view. However, the social aspects of IoT are seldom studied to date. In this paper, we discuss the IoT in social point of view. Specifically, we examine the strategies to increase the adoption of IoT in a sustainable manner. Such discussion is essential in today's context where adoption of IoT solutions by non-technical community is slow. Specially, large number of IoT solutions making their way into the market every day. We propose an trading-based value creation model based on sensing as a service paradigm in order to fuel the adoption of IoT. We discuss the value creation and its impact towards the society especially to households and their occupants. We also present results of two different surveys we conducted in order to examine the potential acceptance of the proposed model among the general public.Comment: arXiv admin note: substantial text overlap with arXiv:1307.819

Dynamic capabilities related implementation skills for Internet of Things solutions in the digital economy

The digital economy is shaped by the increasing implementation of Internet of Things (IoT) solutions. These solutions enable the vertical integration of smart objects into existing information systems, thereby realizing the vision that every physical object obtains a digital identity. However, dynamic characterizes the technologically driven IoT market and requires related capabilities from enterprises, aiming to provide IoT solutions. Therefore, the purpose of this study is to explore which DC are sufficient for the implementation of effective IoT solutions by taking a DC perspective. Based upon an empirical survey of IoT solution integrators and an exploratory fuzzy-set qualitative comparative analysis (fsQCA), our results show that the combination of differentiation strategy, technological and entrepreneurial orientation enables the implementation of effective IoT solutions. The results further provide a theoretical contribution for a DC discussion in the IoT research area and, offer implementation recommendations for enterprises about how to manage IoT solution implementation

The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey

The Internet of Things (IoT) is a dynamic global information network consisting of internet-connected objects, such as Radio-frequency identification (RFIDs), sensors, actuators, as well as other instruments and smart appliances that are becoming an integral component of the future internet. Over the last decade, we have seen a large number of the IoT solutions developed by start-ups, small and medium enterprises, large corporations, academic research institutes (such as universities), and private and public research organisations making their way into the market. In this paper, we survey over one hundred IoT smart solutions in the marketplace and examine them closely in order to identify the technologies used, functionalities, and applications. More importantly, we identify the trends, opportunities and open challenges in the industry-based the IoT solutions. Based on the application domain, we classify and discuss these solutions under five different categories: smart wearable, smart home, smart, city, smart environment, and smart enterprise. This survey is intended to serve as a guideline and conceptual framework for future research in the IoT and to motivate and inspire further developments. It also provides a systematic exploration of existing research and suggests a number of potentially significant research directions.Comment: IEEE Transactions on Emerging Topics in Computing 201

ADAPTING AGILE METHODS TO DEVELOP SOLUTIONS FOR THE INDUSTRIAL INTERNET OF THINGS

The Internet of Things (IoT) is evolving from a technological buzz-phrase into a substantiated organizational and private reality with interconnected devices over the Internet. However, with literature focusing on the technological aspects of IoT, research on the development process of IoT solutions remains scarce. This is particularly captivating, since agile methods provide a natural fit for the requirements associated with the development of IoT solutions, ranging from continuous and flexible improvement of products to integrating developers’ interdisciplinary expertise. We bring together these two areas of interest by conducting a study on the adaptation of agile methods in organizations that develop and distribute industrial IoT solutions. In this paper, we derive a theoretical model based on adaptive structuration theory and develop our empirical research design. Our multiple-case study research approach across relevant companies and industries is currently in process of data collection and analysis. Nonetheless, our preliminary findings reveal interesting insights into the specific adaptation of the agile development method of Scrum in the industrial IoT context. In terms of our finalized study, we provide a sound theoretical basis for future research and offer relevant practical guidance for organizations that are implementing agile methods to develop their industrial IoT solutions

LIDO: A universal language

LIDO is a Metamodeling language for developing IoT solutions. It is a set of concepts of high-level abstraction. LIDO makes it possible that people with different technical backgrounds and IoT culture to come together around the development of IoT solutions. LIDO allows people of different disciplines, having different viewpoints, to come together to discuss and reflect on the modeling and implementation of an IoT solution. This article presents the philosophy underlying LIDO that makes it a universal language allowing sustainable development

Semantic IoT Solutions - A Developer Perspective

Semantic technologies have recently gained significant support in a number of communities, in particular the IoT community. An important problem to be solved is that, on the one hand, it is clear that the value of IoT increases significantly with the availability of information from a wide variety of domains. On the other hand, existing solutions target specific applications or application domains and there is no easy way of sharing information between the resulting silos. Thus, a solution is needed to enable interoperability across information silos. As there is a huge heterogeneity regarding IoT technologies on the lower levels, the semantic level is seen as a promising approach for achieving interoperability (i.e. semantic interoperability) to unify IoT device description, data, bring common interaction, data exploration, etc.This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreements No.732240 (SynchroniCity) and No. 688467 (VICINITY); from ETSI under Specialist Task Forces 534, 556, 566 and 578. This work is partially funded by Hazards SEES NSF Award EAR 1520870, and KHealth NIH 1 R01 HD087132-01

Over-the-air software updates in the internet of things : an overview of key principles

Due to the fast pace at which IoT is evolving, there is an increasing need to support over-theair software updates for security updates, bug fixes, and software extensions. To this end, multiple over-the-air techniques have been proposed, each covering a specific aspect of the update process, such as (partial) code updates, data dissemination, and security. However, each technique introduces overhead, especially in terms of energy consumption, thereby impacting the operational lifetime of the battery constrained devices. Until now, a comprehensive overview describing the different update steps and quantifying the impact of each step is missing in the scientific literature, making it hard to assess the overall feasibility of an over-the-air update. To remedy this, our article analyzes which parts of an IoT operating system are most updated after device deployment, proposes a step-by-step approach to integrate software updates in IoT solutions, and quantifies the energy cost of each of the involved steps. The results show that besides the obvious dissemination cost, other phases such as security also introduce a significant overhead. For instance, a typical firmware update requires 135.026 mJ, of which the main portions are data dissemination (63.11 percent) and encryption (5.29 percent). However, when modular updates are used instead, the energy cost (e.g., for a MAC update) is reduced to 26.743 mJ (48.69 percent for data dissemination and 26.47 percent for encryption)