Overcoming a Communication Barrier on the Way Towards a Global Sensor Network

In a global sensor network different sensor platforms will be deployed. A grave obstacle on the way of building sensor networks out of different sensor nodes are incompatible implementations of network protocol stacks used with different sensor node platforms. We describe our efforts to overcome this obstacle in a heterogeneous sensor network consisting out of MICAz Motes and Sun SPOTs, both using an IEEE 802.15.4 radio chip. We explain the major differences in the respective network stacks and our approach to bridge them. A network stack that bridges the gap between different platforms allows for more flexible and robust networks

Taming the interoperability challenges of complex IoT systems

of communication protocols and data formats; hence ensuring diverse devices can interoperate with one another remains a significant challenge. Model-driven development and testing solutions have been proposed as methods to aid software developers achieve interoperability compliance in the face of this increasing complexity. However, current approaches often involve complicated and domain specific models (e.g. web services described by WSDL). In this paper, we explore a lightweight, middleware independent, model-driven development framework to help developers tame the challenges of composing IoT services that interoperate with one another. The framework is based upon two key contributions: i) patterns of interoperability behaviour, and ii) a software framework to monitor and reason about interoperability success or failure. We show using a case-study from the FI-WARE Future Internet Service domain that this interoperability framework can support non-expert developers address interoperability challenges. We also deployed tools built atop the framework and made them available in the XIFI large-scale FI-PPP test environment

Innovation landscape and challenges of smart technologies and systems - a European perspective

Latest developments in smart sensor and actuator technologies are expected to lead to a revolution in future manufacturing systems’ abilities and efficiency, often referred to as Industry 4.0. Smart technologies with higher degrees of autonomy will be essential to achieve the next breakthrough in both agility and productivity. However, the technologies will also bring substantial design and integration challenges and novelty risks to manufacturing businesses. The aim of this paper is to analyse the current landscape and to identify the challenges for introducing smart technologies into manufacturing systems in Europe. Expert knowledge from both industrial and academic practitioners in the field was extracted using an online survey. Feedback from a workshop was used to triangulate and extend the survey results. The findings indicate three main challenges for the ubiquitous implementation of smart technologies in manufacturing are: i) the perceived risk of novel technologies, ii) the complexity of integration, and iii) the consideration of human factors. Recommendations are made based on these findings to transform the landscape for smart manufacturing

Overcoming barriers and increasing independence: service robots for elderly and disabled people

This paper discusses the potential for service robots to overcome barriers and increase independence of elderly and disabled people. It includes a brief overview of the existing uses of service robots by disabled and elderly people and advances in technology which will make new uses possible and provides suggestions for some of these new applications. The paper also considers the design and other conditions to be met for user acceptance. It also discusses the complementarity of assistive service robots and personal assistance and considers the types of applications and users for which service robots are and are not suitable

Accelerated Consensus via Min-Sum Splitting

We apply the Min-Sum message-passing protocol to solve the consensus problem in distributed optimization. We show that while the ordinary Min-Sum algorithm does not converge, a modified version of it known as Splitting yields convergence to the problem solution. We prove that a proper choice of the tuning parameters allows Min-Sum Splitting to yield subdiffusive accelerated convergence rates, matching the rates obtained by shift-register methods. The acceleration scheme embodied by Min-Sum Splitting for the consensus problem bears similarities with lifted Markov chains techniques and with multi-step first order methods in convex optimization

Cross-Sender Bit-Mixing Coding

Scheduling to avoid packet collisions is a long-standing challenge in networking, and has become even trickier in wireless networks with multiple senders and multiple receivers. In fact, researchers have proved that even {\em perfect} scheduling can only achieve $\mathbf{R} = O(\frac{1}{\ln N})$. Here $N$ is the number of nodes in the network, and $\mathbf{R}$ is the {\em medium utilization rate}. Ideally, one would hope to achieve $\mathbf{R} = \Theta(1)$, while avoiding all the complexities in scheduling. To this end, this paper proposes {\em cross-sender bit-mixing coding} ({\em BMC}), which does not rely on scheduling. Instead, users transmit simultaneously on suitably-chosen slots, and the amount of overlap in different user's slots is controlled via coding. We prove that in all possible network topologies, using BMC enables us to achieve $\mathbf{R}=\Theta(1)$. We also prove that the space and time complexities of BMC encoding/decoding are all low-order polynomials.Comment: Published in the International Conference on Information Processing in Sensor Networks (IPSN), 201

Participation in “Smart Cities” : a user-centric evaluation of the smart city-concept

This dissertation is addressing the smart city concept through identifying citizen participation as an essential part of the framework. Several smart city examples were analyzed and a high variety, not only in terms of affected areas, but also concerning the multiple ways how individual programs integrate citizens, was recognized. Three ways to participate in a smart city were identified: 1. Citizens help the government collecting data 2. Citizens being involved in using the data generated by the government 3. Citizens being involved in government activities. Through elaborating on the smart city concept, the presence and importance of citizen engagement was clarified. Further, participation itself was put into focus. Therefore, several subject-related topics were explored and the identified participation methods were specified. Furthermore, quantitative research was conducted in form of a survey, examining the key findings of the literature review. To facilitate the allocation of trends to several groups, a cluster analysis has been conducted and five clusters could be created: The “Creatives”, -“Alternatives”, -“Techies”, -“Greens” and -“Normals”. Major research results were: The majority associates a smart city with a rather technical nature. Privacy is standing out as the main concern. Respondents are the least confident about developing an application or a service. Combining those results with the key findings based on the literature review, the urge for city administrations to modernize and to embrace the smart city concept was identified. The dissertation concludes with recommending governments to overcome those barriers by the implementation of so-called “living-labs” and “toolkits”