HMD - Praxis der Wirtschaftsinformatik - Smart City

Der Begriff Smart City oder Ubiquitous City bezeichnet die Nutzung von Informations- und Kommunikationstechnologien in Städten und Agglomerationen, um den sozialen und ökologischen Lebensraum nachhaltig zu entwickeln. Dazu zählen z.B. Projekte zur Verbesserung der Mobilität, Nutzung intelligenter Systeme für Wasser- und Energieversorgung, Förderung sozialer Netzwerke, Erweiterung politischer Partizipation, Ausbau von Entrepreneurship, Schutz der Umwelt sowie Erhöhung von Sicherheit und Lebensqualität. Das Themenheft widmet sich der Vielfalt dieser webbasierten Entwicklungen und berichtet über erste Erfahrungen von Pionierprojekten aus den folgenden Anwendungsfeldern: Smart Mobility, Smart Energy, Smart Economy, Smart Environment, Smart Governance, Smart Participation und Smart Living. Das Heft soll dazu dienen, den State of the Art der intelligenten Nutzung von Webtechnologien für den urbanen Raum aufzuzeigen, um damit Chancen und Risiken aufzudecken.

Smart Democracy für Smart Cities – Online-Wahlhilfen und ihr Beitrag zu einer modernen Demokratie

Der Beitrag geht der Frage nach, welchen Beitrag so genannte Online-Wahlhilfen zu einer gut funktionierenden modernen Demokratie leisten und welche Rolle sie im Rahmen des Smart City-Konzepts einnehmen können. Dabei dient die Schweizer Online-Wahlhilfe smartvote als Fallstudie und die Gemeinderats- (Legislative) und Stadtratswahlen (Exekutive) in der Stadt Zürich vom 9. Februar 2014 als konkretes Anwendungsbeispiel. Neben der Funktionsweise wird auch erläutert, wie die Benutzung durch Parteien und Kandidierende, Medien sowie Wähler in der Praxis abläuft. Es wird auch diskutiert, was Online-Wahlhilfen leisten können. Schließlich wird darauf eingegangen, wo bei der Anwendung dieser Plattformen noch ungenutzte Potenziale stecken und welche Risiken mit ihrem Einsatz verbunden sind. Der Beitrag zeigt, wie smartvote und vergleichbare Projekte idealtypisch im Sinne einer Smart Democracy in Verknüpfung mit anderen Daten und Instrumenten die Qualität einer modernen Demokratie verbessern können.

Evaluation of Three State-of-the-Art Classifiers for Recognition of Activities of Daily Living from Smart Home Ambient Data

Smart homes for the aging population have recently started attracting the attention of the research community. The "health state" of smart homes is comprised of many different levels; starting with the physical health of citizens, it also includes longer-term health norms and outcomes, as well as the arena of positive behavior changes. One of the problems of interest is to monitor the activities of daily living (ADL) of the elderly, aiming at their protection and well-being. For this purpose, we installed passive infrared (PIR) sensors to detect motion in a specific area inside a smart apartment and used them to collect a set of ADL. In a novel approach, we describe a technology that allows the ground truth collected in one smart home to train activity recognition systems for other smart homes. We asked the users to label all instances of all ADL only once and subsequently applied data mining techniques to cluster in-home sensor firings. Each cluster would therefore represent the instances of the same activity. Once the clusters were associated to their corresponding activities, our system was able to recognize future activities. To improve the activity recognition accuracy, our system preprocessed raw sensor data by identifying overlapping activities. To evaluate the recognition performance from a 200-day dataset, we implemented three different active learning classification algorithms and compared their performance: naive Bayesian (NB), support vector machine (SVM) and random forest (RF). Based on our results, the RF classifier recognized activities with an average specificity of 96.53%, a sensitivity of 68.49%, a precision of 74.41% and an F-measure of 71.33%, outperforming both the NB and SVM classifiers. Further clustering markedly improved the results of the RF classifier. An activity recognition system based on PIR sensors in conjunction with a clustering classification approach was able to detect ADL from datasets collected from different homes. Thus, our PIR-based smart home technology could improve care and provide valuable information to better understand the functioning of our societies, as well as to inform both individual and collective action in a smart city scenario.

Enhanced Knowledge Management by Synchronizing Mind Maps and Fuzzy Cognitive Maps

This paper presents a conceptual approach to enhance knowledge management by synchronizing mind maps and fuzzy cognitive maps. The use of mind maps allows taking advantage of human creativity, while the application of fuzzy cognitive maps enables to store information expressed in natural language. By applying cognitive computing, it makes possible to gather and extract relevant information out of a data pool. Therefore, this approach is supposed to give a framework that enhances knowledge management. To demonstrate the potential of this framework, a use case concerning the development of a smart city app is presented.

A Smart TCP Acknowledgment Approach for Multihop Wireless Networks

Reliable data transfer is one of the most difficult tasks to be accomplished in multihop wireless networks. Traditional transport protocols like TCP face severe performance degradation over multihop networks given the noisy nature of wireless media as well as unstable connectivity conditions in place. The success of TCP in wired networks motivates its extension to wireless networks. A crucial challenge faced by TCP over these networks is how to operate smoothly with the 802.11 wireless MAC protocol which also implements a retransmission mechanism at link level in addition to short RTS/CTS control frames for avoiding collisions. These features render TCP acknowledgments (ACK) transmission quite costly. Data and ACK packets cause similar medium access overheads despite the much smaller size of the ACKs. In this paper, we further evaluate our dynamic adaptive strategy for reducing ACK-induced overhead and consequent collisions. Our approach resembles the sender side's congestion control. The receiver is self-adaptive by delaying more ACKs under nonconstrained channels and less otherwise. This improves not only throughput but also power consumption. Simulation evaluations exhibit significant improvement in several scenarios

A Link Quality and Geographical-aware Routing Protocol for Video Transmission in Mobile IoT

Wireless mobile sensor networks are enlarging the Internet of Things (IoT) portfolio with a huge number of multimedia services for smart cities. Safety and environmental monitoring multimedia applications will be part of the Smart IoT systems, which aim to reduce emergency response time, while also predicting hazardous events. In these mobile and dynamic (possible disaster) scenarios, opportunistic routing allows routing decisions in a completely distributed manner, by using a hop- by-hop route decision based on protocol-specific characteristics, and a predefined end-to-end path is not a reliable solution. This enables the transmission of video flows of a monitored area/object with Quality of Experience (QoE) support to users, headquarters or IoT platforms. However, existing approaches rely on a single metric to make the candidate selection rule, including link quality or geographic information, which causes a high packet loss rate, and reduces the video perception from the human standpoint. This article proposes a cross-layer Link quality and Geographical-aware Opportunistic routing protocol (LinGO), which is designed for video dissemination in mobile multimedia IoT environments. LinGO improves routing decisions using multiple metrics, including link quality, geographic loca- tion, and energy. The simulation results show the benefits of LinGO compared with well-known routing solutions for video transmission with QoE support in mobile scenarios.

Mobile Cloud Networking: Virtualisation of Cellular Networks

Virtualisation of cellular networks can be seen as a way to significantly reduce the complexity of processes, required nowadays to provide reliable cellular networks. The Future Communication Architecture for Mobile Cloud Services: Mobile Cloud Networking (MCN) is a EU FP7 Large-scale Integrating Project (IP) funded by the European Commission that is focusing on cloud computing concepts to achieve virtualisation of cellular networks. It aims at the development of a fully cloud-based mobile communication and application platform, or more specifically, it aims to investigate, implement and evaluate the technological foundations for the mobile communication system of Long Term Evolution (LTE), based on Mobile Network plus Decentralized Computing plus Smart Storage offered as one atomic service: On-Demand, Elastic and Pay-As-You-Go. This paper provides a brief overview of the MCN project and discusses the challenges that need to be solved.

Towards End-User Driven Power Saving Control in Android devices

Abstract. During the last decade mobile communications increasingly became part of people's daily routine. Such usage raises new challenges regarding devices' battery lifetime management when using most popular wireless access technologies, such as IEEE 802.11. This paper investigates the energy/delay trade-off of using an end-user driven power saving approach, when compared with the standard IEEE 802.11 power saving algorithms. The assessment was conducted in a real testbed using an Android mobile phone and high-precision energy measurement hardware. The results show clear energy benefits of employing user-driven power saving techniques, when compared with other standard approaches.

Smart Cities – Ein Überblick!

Nach einer kurzen Begriffsfassung von Smart Cities gehen wir basierend auf den folgenden Beiträgen dieses Heftes auf verschiedene Eigenschaften einer solchen smarten Stadt ein. Dadurch versuchen wir den Ist-Zustand dieser Städte zu dokumentieren. Damit die jeweiligen Stakeholder (strategische) Entscheide treffen können, widmen wir danach ein Kapitel den Chancen und Risiken von Smart Cities. Anhand einer Studie des Europäischen Parlaments zeigen wir nachfolgend entsprechende Bestrebungen aus Europa auf. Anschliessend präsentieren wir eine Best-Practice-Roadmap für die Realisierung von Smart Cities. Zum Schluss zeichnen wir auf einer konnektivistischen Lern- und Kognitionstheorie aufbauend einen Weg zur Cognitive City der Zukunft. Dabei wird der Mensch nicht als isoliertes, sondern als vernetztes Individuum gesehen. Dies begünstigt die Weiterentwicklung von Smart Cities zu Städten, welche aktiv und selbstständig lernen und dadurch automatisch auf Veränderungen ihrer Umwelt reagieren können.