Connecting the World of Embedded Mobiles: The RIOT Approach to Ubiquitous Networking for the Internet of Things

The Internet of Things (IoT) is rapidly evolving based on low-power compliant protocol standards that extend the Internet into the embedded world. Pioneering implementations have proven it is feasible to inter-network very constrained devices, but had to rely on peculiar cross-layered designs and offer a minimalistic set of features. In the long run, however, professional use and massive deployment of IoT devices require full-featured, cleanly composed, and flexible network stacks. This paper introduces the networking architecture that turns RIOT into a powerful IoT system, to enable low-power wireless scenarios. RIOT networking offers (i) a modular architecture with generic interfaces for plugging in drivers, protocols, or entire stacks, (ii) support for multiple heterogeneous interfaces and stacks that can concurrently operate, and (iii) GNRC, its cleanly layered, recursively composed default network stack. We contribute an in-depth analysis of the communication performance and resource efficiency of RIOT, both on a micro-benchmarking level as well as by comparing IoT communication across different platforms. Our findings show that, though it is based on significantly different design trade-offs, the networking subsystem of RIOT achieves a performance equivalent to that of Contiki and TinyOS, the two operating systems which pioneered IoT software platforms

India: a Case of Fragile Wireless Service and Technology Adoption?

Wireless penetration and the Indian economy have grown significantly over the past few years, but how robust and sustainable is the adoption of wireless services and products? Several papers have discussed India as a wireless service and product market, and sometimes tried to assess quantitative attributes thereof. The present paper aims instead at looking, from a management point of view, at the unique underlying evolution processes, bottlenecks and risks. On specific facets, a comparison is given to adoption indicators in other key markets such as China.For example, just to illustrate highlights of these unique attributes , it is indeed surprising that such a major economy with its very large population has not yet achieved the wireless service usage and mobile terminal penetration ratios of neither an early European adopter ,nor of a recent large scale adopter like China or Russia . India has also been characterised by a surprising regulatory development process quite different from many other contexts, both in terms of its both centralised and regional structure, of very low tariffs providing almost no ROI to investors in a stable situation, and of absence of neutrality across communications technologies. At the same time, a very large fraction of the population has not , for affordability and regional coverage reasons, been able to get the access opportunities of more developed regions , leading to a distribution unbalance which is also a significant opportunity .Also , the wireless service and product adoption pattern in India , specific to communicating services , has so far been in rather sharp contrast with the widely known software and outsourcing services industry evolutions in that country .Therefore it is important to compare the most relevant known wireless service and product adoption theories, to establish from facts whether they apply in the Indian context, and, if not, suggest new or mixed theories able to explain all such facts and cast some light into its likely future structural evolution. It is of high relevance in management to validate if indeed established models apply or not in a significant case like India, just as it is also of high relevance for the main stakeholders to identify methodology able to support their analyses.The paper first provides background information on wireless, fixed, and other operators, on wireless penetration, on telecommunications infrastructure and investments, and on Indian human capital. Thereafter is analyzed in detail the relevance, or not, of five traditional technology adoption models across the Indian user base: the absorption business model, the perceived benefits business model, consumer attitudes, the globalisation business model, and finally the brand management business model. These first analyses are followed by the identification and detailed analysis of five other business models or structural processes, some rather unique to India: the two-tier migration model, large scale imported adoption without a telecommunications infrastructure & terminals industry, unstable adoption with lack of consistent public policies, knowledge sharing and productivity enhancement adoption model, and finally late foreign capital investments into a large emerging market.From the comparison of facts and background data , with these ten wireless service and product adoption models , the paper establishes which are not relevant, and which are too some degree . Furthermore the relevant business models are shown to share, further attributes of sustainability (or not) and dynamic behaviour. This allows concluding that India has had an overall quite fragile adoption and deployment path with growing tensions such as coverage, quality of service and affordability disparities. The model comparison also allows to diagnose the key three structural measures needed to reach a sustainable equilibrium from the business, economic and social points of view.India;Mobile communications;Adoption;Business models;Economic development;Infrastructure;Manufacturing;Mobile terminals;Wireless

Toward a process theory of entrepreneurship: revisiting opportunity identification and entrepreneurial actions

This dissertation studies the early development of new ventures and small business and the entrepreneurship process from initial ideas to viable ventures. I unpack the micro-foundations of entrepreneurial actions and new ventures’ investor communications through quality signals to finance their growth path. This dissertation includes two qualitative papers and one quantitative study. The qualitative papers employ an inductive multiple-case approach and include seven medical equipment manufacturers (new ventures) in a nascent market context (the mobile health industry) across six U.S. states and a secondary data analysis to understand the emergence of opportunities and the early development of new ventures. The quantitative research chapter includes 770 IPOs in the manufacturing industries in the U.S. and investigates the legitimation strategies of young ventures to gain resources from targeted resource-holders.Open Acces

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Bottom-up Infrastructures: Aligning Politics and Technology in building a Wireless Community Network

Contemporary innovation in infrastructures is increasingly characterized by a close relationship between experts and lay people. This phenomenon has attracted the attention from a wide range of disciplines, including computer-supported cooperative work (CSCW), science and technology studies (S&TS), organization studies and participatory design (PD). Connecting to this broad area of research, the article presents a qualitative case study concerning the building and maintenance of a grassroots, bottom-up information infrastructure in Italy, defined as wireless community network (WCN). Methodologically, the research is based on qualitative interviews with participants to the WCN, ethnographic observations and document analysis. The aim of the article is to understand the alignment between the technical work implied in building this bottom-up infrastructure and the political and cultural frameworks that move people to participate to this project. Relying on the field of science & technology studies, and in particular on the notions of ‘inverse infrastructure’ and ‘research in the wild’, we disclose the WCN’s peculiar innovation trajectory, localized outside conventional spaces of research and development. Overall, the presentation of the qualitative and ethnographic data allows to point out a more general reflection on bottom-up infrastructures and to enrich the academic debate concerning bottom-up infrastructuring work and other similar typologies of collaborative design projects in the domain of infrastructures

iSEA: IoT-based smartphone energy assistant for prompting energy-aware behaviors in commercial buildings

Providing personalized energy-use information to individual occupants enables the adoption of energy-aware behaviors in commercial buildings. However, the implementation of individualized feedback still remains challenging due to the difficulties in collecting personalized data, tracking personal behaviors, and delivering personalized tailored information to individual occupants. Nowadays, the Internet of Things (IoT) technologies are used in a variety of applications including real-time monitoring, control, and decision-making due to the flexibility of these technologies for fusing different data streams. In this paper, we propose a novel IoT-based smartphone energy assistant (iSEA) framework which prompts energy-aware behaviors in commercial buildings. iSEA tracks individual occupants through tracking their smartphones, uses a deep learning approach to identify their energy usage, and delivers personalized tailored feedback to impact their usage. iSEA particularly uses an energy-use efficiency index (EEI) to understand behaviors and categorize them into efficient and inefficient behaviors. The iSEA architecture includes four layers: physical, cloud, service, and communication. The results of implementing iSEA in a commercial building with ten occupants over a twelve-week duration demonstrate the validity of this approach in enhancing individualized energy-use behaviors. An average of 34% energy savings was measured by tracking occupants’ EEI by the end of the experimental period. In addition, the results demonstrate that commercial building occupants often ignore controlling over lighting systems at their departure events that leads to wasting energy during non-working hours. By utilizing the existing IoT devices in commercial buildings, iSEA significantly contributes to support research efforts into sensing and enhancing energy-aware behaviors at minimal costs