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2019 | Buch

Dynamic Connectivity Metric for Routing in VANETs Kapitel lesen Erstes Kapitel lesen

Innovations for Community Services

19th International Conference, I4CS 2019, Wolfsburg, Germany, June 24-26, 2019, Proceedings

herausgegeben von: Prof. Dr. Karl-Heinz Lüke, Gerald Eichler, Prof. Dr. Christian Erfurth, Günter Fahrnberger

Verlag: Springer International Publishing

Buchreihe : Communications in Computer and Information Science

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

This book constitutes the refereed proceedings of the 19th International Conference on Innovations for Community Services, I4CS 2019, held in Wolfsburg, Germany, in June 2019.

The 16 revised full papers presented in this volume were carefully reviewed and selected from 43 submissions. The papers are organized in topical sections on communication systems; teaching and collaboration; smart cities; innovations and digital transformation; data analytics and models; community and quality.

Inhaltsverzeichnis

Frontmatter

Communication Systems

Frontmatter
Dynamic Connectivity Metric for Routing in VANETs
Abstract
In vehicular ad-hoc networks a path has to be found to send a message from one vehicle to another vehicle. This path has to have a connectivity rate that is high enough to obtain a high probability of arrival of the message. In other approaches, this path is based on current, static information of the distribution of cars. In this paper we propose a dynamic, probabilistic approach, where we estimate the connection probability assuming Poisson Processes on all roads in the network, based on the current traffic density. The analytic derivation of the connection probability is compared to values derived by simulation.
Frank Phillipson
A Holistic Communication Network for Efficient Transport and Enhanced Driving via Connected Cars
Abstract
Growing markets and novel technologies for cooperative and integrated vehicular communication are offering excellent opportunities for innovative business and coordinated research and standardization worldwide. Network operators as well as manufacturers of cars and devices for automotive connectivity are heading towards a next generation ecosystem in framework of 5G permitting to provide a bunch of new applications. These shall contribute to improved traffic safety by reduction of number of accidents or even their avoidance, to a higher level of traffic efficiency by enabling better road utilization and reduced traffic congestion, to a significant reduction in energy consumption and CO2-emission, and to increased comfort for both drivers and passengers in cars. Such a vision can only be achieved by 5G-enabled connectivity and cooperation between vehicles and infrastructure on basis of a convergent, reliable, secure, and robust communications network that will enable real-time traffic control support.
This paper reports on the approach selected by project 5G NetMobil to enable a reliable, secure, and robust connectivity between vehicles, other road users, and infrastructure for real-time applications of a cooperative intelligent transport system, forming a new kind of traffic and transport-related community.
Dirk von Hugo, Gerald Eichler, Thomas Rosowski
Efficient Event Dissemination Using Bluetooth Protocol
Abstract
A C-ITS is a system where mobile stations OBU (On-Board Units) exchange messages with other ITSS-V or RSU (Road Side Units). Messages are sent through a specific WIFI (IEEE 802.11p) denoted also ETSI ITS-G5. The efficiency of this technology has been proven in terms of latency. However, RSU are common everywhere, for this reason we look for another mean to guarantee this communication. Cellular networks are widely deployed and ma support these communications.
In this paper, we present an architecture which ensures communication between RSUs and mobile stations using Bluetooth protocol.
We have measured some indicators as latency (notification delay), packet delivery ratio (number of messages arrived after a threshold). These indicators confirmed that our proposed architecture has a interesting performances and could be deployed widely.
Kévin Thomas, Geoffrey Wilhelm, Hacène Fouchal, Stephane Cormier, Francis Rousseaux

Teaching and Collaboration

Frontmatter
Robots in the Classroom
Mobile Robot Projects in Academic Teaching
Abstract
The field of mobile robotics has a long tradition and due to recent developments, we expect a huge potential for the future. Expertise in the area of mobile robotics is important for computer science students. The topic has many connections to different other computer science areas such as computer vision, algorithms, planning, world modeling and machine learning but is also related to basic fields such as mathematics, geometry, statistics, graph theory and optimization techniques. Students have to consider hardware and real-time issues, meanwhile they have to deal with uncertainty of data that are based on sensors. Software development differs from typical desktop, office or client-server developments that often are in focus of computer science studies. As a consequence, academic courses on mobile robotics differ in many ways from other courses. A major issue: we have to get the students very quickly to a point to achieve progress in their projects. Moreover, the teacher has to have an environment to manage the different facets of the complex topics.
Jörg Roth
Embedded Systems for Teaching - Yrobot Evolution
Abstract
Robotics and the development of information technologies represent the trend of the 21st century, which affects all areas of human life. Education, or learning process, in which efforts to educate younger age students in new technologies could make a significant contribution to the next era of technological development, is no exception to the use of new technologies. The limitation of education in Slovakia is the lack of financial resources for the provision of modern educational tools. For this reason, the Yrobot platform was developed within the project of the Technical Cybernetics Department at the Faculty of Management Science and Informatics of the University in Žilina. The Yrobot Platform has been successfully deployed in the educational process of high schools in cooperation with the Pontis Foundation and Volkswagen Slovakia. The gradual Yrobot platform development has created conditions for more effective education of students in electronics, computer science and computer engineering. This article presents the Yrobot platform development and location in educational process in slovak schools.
Michal Hodoň, Juraj Miček, Peter Ševčík, Gabriel Koman
Smart Contract Based Decentralized Parking Management in ITS
Abstract
Providing a better experience to the drivers is one of the core objectives of implementing Intelligent Transportation Systems (ITS). ITS aims to offer a range of services for making the life of drivers more comfortable. However, the way these ITS related services are implemented until now is centralized and is somewhat cumbersome. Centralized approach for implementing ITS services make the customers and the stakeholders of the services trust and depend on various intermediaries. Moreover, such an approach is often prone to a single point of failure which affects the availability of the services. Decentralized technologies such as Blockchain and Smart Contracts can help address such issues. In this paper, we study the scope of Blockchain Technology in implementing ITS related services. We design a decentralized system for Parking Management in ITS using Smart Contracts. We implement our proposed system on the Ethereum blockchain platform to demonstrate its feasibility.
Pranav Kumar Singh, Roshan Singh, Sunit Kumar Nandi, Sukumar Nandi

Smart Cities

Frontmatter
Multi-Service Capacitated Facility Location Problem with Partial Covering in Smart Cities
Abstract
We consider the problem of distributing various services over urban areas. In this work we introduce the Multi-Service Capacitated Facility Location Problem with Partial Covering (MSCFLP-PC), which extends the MSCFLP by allowing for partial satisfaction of demand, where a penalty has to be paid for the uncovered demand. We present some practical results by solving the problem as an Integer Linear Programming Problem on various real urban areas. Experiments indicate that partial covering is an effective means to lower costs. This study is the first to formulate and solve the partial covering extension of the MSCFLP.
Gerbrich Hoekstra, Frank Phillipson
Multi Service Modular Capacitated Facility Location Problem for Smart Cities
Abstract
This paper introduces the Multi Service Modular Capacitated Facility Location Problem, which extends the Multi Service Capacitated Facility Location Problem by allowing for modular capacities. This extension can lead to significant costs benefits, especially in dense areas. Two heuristics are proposed to solve the problem: the Extended Pricing Heuristic (EPH) and the Extended Covering Heuristic (ECH). The ECH gives better results, but its feasilibity is dependent on the choice of the parameters. The EPH does not have this problem and has lower computation times for large instances.
Bert Veerman, Frank Phillipson
A Smart City Ecosystem Enabling Open Innovation
Abstract
In this position paper we present IT-centered challenges that lie in designing an architecture for a flexible, open, transferable, and replicable smart city ecosystem spanning a plethora of suppliers and systems. The background is the smart city and energy project +CityxChange. Its vision is to enable the co-creation and development of Positive Energy Blocks in smart sustainable cities. It will include the development of a framework and supporting tools to enable a common energy market, supported by a connected community and city integration. It will explore influences of the energy transition into city operations and urban planning, the integration of e-Mobility as a Service (eMaaS) into positive energy communities, and the growth of local trading markets and new business models. Digitalization, open architectures, and open data need to support these processes for open urban innovation in the ICT-enabled city.
Dirk Ahlers, Leendert W. M. Wienhofen, Sobah Abbas Petersen, Mohsen Anvaari

Innovations and Digital Transformation

Frontmatter
Innovation Management Methods in the Automotive Industry
Abstract
The automotive industry is mainly characterized by shorter product life cycles, ever-growing competitive pressure, significant technological advances and massive changes in the political, technological and sociocultural environment. Therefore, innovation management as an enabler for product, process and business model innovations is becoming more and more important in the automotive industry, a statement which is confirmed by massive increase in innovation expenditure. This paper discusses specific innovation methods related to three cooperation fields: supplier, customer and in-house. The research project, presented in this paper, ascertains their particular implementation level in the automotive industry. One of the findings is the growing significance of the in-house innovation method Big Data as a result of enormous data volume increase. Consequently, the Automotive Big Data Platform (ABDP) Reference Architecture is presented in this paper. Big Data will enable the automotive industry to cope with the challenges.
Karl-Heinz Lüke, Johannes Walther, Daniel Wäldchen, Denis Royer
Knowledge Management for the Digital Transformation of Enterprises – Literature Based Trend Analysis
Abstract
The digital transformation of companies and society is progressing. The rapid realization of projects or the accelerated implementation of new “disruptive” technologies endanger aspects of sustainability. A sustainable aspect can be seen in the knowledge management of companies: The digital transformation, new technologies and the new production factor knowledge are putting established models for knowledge management under pressure. This paper presents the current state of research on knowledge management in relation to digital transformation. It could be worked out that knowledge management must gain more importance in companies. The way in which knowledge management is operated is changing at the same time, which makes new rules necessary. Due to the plurality of concepts and models, knowledge management is difficult to apply holistically for companies. Enterprises experience a technological upgrading which makes learning of the organization together with technology and humans possible. New forms of access to knowledge enable more target-oriented access in each situation.
Marcus Wolf, Christian Erfurth

Data Analytics and Models

Frontmatter
Rank-Based Similarity Index (RBSI) in a Multidimensional DataSet
Abstract
When exploring a data set, we generally use a distance to evaluate the similarity or dissimilarity between data. In a multidimensional space, usual distances combine the values of the variables. This approach has two significant drawbacks. First, the variables have neither the same unit nor the same scale. That requires standardization of variables before computing a distance. Second, some variables could be irrelevant to assess the similarity between data. This paper proposes to build a new similarity index based on data rankings. The index is called Rank-Based Similarity Index (RBSI). The goal is to use RBSI instead of the standard distances to avoid their drawbacks. The build of RBSI is based on three steps. The first step defines a similarity function for each data and each variable. Each function is based on the rankings of data. The second step computes the mean of similarity values to define two characteristics for each variable. These characteristics are called sensitivity and specificity which assess the relevance of a variable for evaluating the similarity. The third step aggregates the values of the similarity functions to define RBSI by an ordered weighted averaging (OWA) [3]. The weights of the OWA operator then integrate the relevant characteristics of the variables. Finally, we compare RBSI to the usual distances: RBSI gives better results to assess the similarity between the data.
Michel Herbin, Amine Aït-Younes, Frédéric Blanchard, Didier Gillard
A Distributed Metadata Platform for Hybrid Radio Services
Abstract
Hybrid radio is an umbrella term for the combination of classic broadcast radio with online services enabling highly personalized and interactive content. Hybrid services heavily rely on well-maintained metadata but currently, a multitude of different data sources and models exist, each with certain aspects and different levels of quality. We propose a distributed metadata platform which harmonizes relevant metadata from a variety of data sources and makes it comfortably searchable. The distributed and open nature of the platform renders centralized aggregators obsolete and allows even smaller stations to participate in a search network which significantly increases their visibility. The capability of the platform is proven by the implementation and evaluation of a metadata-based radio station recommender system which is one of the most important hybrid radio building blocks. Finally, the platform is evaluated by a qualitative analysis which juxtaposes requirements based on pre-defined user scenarios with its technical features.
Markus Friedrich, André Ebert, Carsten Hahn, Georg Schneider, Liza Obermeier, Alexander Erk, Iris Jennes
A Framework for Analyzing News Images and Building Multimedia-Based Recommender
Abstract
The number and accessibility of published news items have grown recently. Publishers have developed recommender systems supporting users in finding relevant news. Traditional news recommender systems focus on collaborative filtering and content-based strategies. Unlike texts, multimedia content has received little attention. However, images and other multimedia elements affect how users perceive the news. In this work, we present a system that aggregates text-based, image-based, and user interests-based features to foster recommender systems for news. The system monitors a live stream of news and interactions with them. It applies text analysis and automatic image labeling methods for enriching the news stream. A web application visualizes the collected data and statistics. We show that image features are valuable for developing news recommender systems. The created feature-rich dataset constitutes the basis for developing innovative news recommendation approaches.
Andreas Lommatzsch, Benjamin Kille, Kevin Styp-Rekowski, Max Karl, Jan Pommering

Community and Quality

Frontmatter
Towards a Metrics-Based Software Quality Rating for a Microservice Architecture
Case Study for a Measurement and Processing Infrastructure
Abstract
Microservice architectures should be based on isolated, independent and resilient services. In practice, however, that means that different concepts must be taken into account when designing, developing, and operating services. The WINNER research project is developing an application, based on such a microservice architecture in the context of Smart Home, Smart Grid and electromobility in tenant households, as a measurement and processing infrastructure. About this WINNER software, system metrics are calculated and collected, and the potential for rating software quality in the sense of ISO 25010 is examined. For analysis, a microservice architecture describing model will be designed witches describes correlations and links in the service network. Its instance in the context of WINNER, as well as source code and process analyses, are used to perform the final quality considerations.
Sebastian Apel, Florian Hertrampf, Steffen Späthe
Managing Smart Home Appliances with Proof of Authority and Blockchain
Abstract
With the advance in technology and growth in standard of living, smart homes have become a reality. Smart homes consist of home appliances and devices that communicate with each other to address the needs of the residents. These appliances generate, share and consume lots of data which are private and sometimes safety critical to the residents. Managing them is a challenging task. The current frameworks for managing home appliances are centralized in nature. Such frameworks force smart home residents to trust the service providers or a third party. These frameworks are also prone to hacking, compromise of data and a single point of failure. Availability of services can also never be guaranteed with such frameworks. Technologies such as blockchain and smart contracts can help to manage these appliances. In this paper, we study the scope of blockchain technology in smart homes. We propose, implement and evaluate a blockchain based approach using Proof-of-Authority as the consensus mechanism for managing appliances in smart homes. In addition, we compare the performance of our system with the traditional Proof-of-Work based system.
Pranav Kumar Singh, Roshan Singh, Sunit Kumar Nandi, Sukumar Nandi
Backmatter
Metadaten
Titel
Innovations for Community Services
herausgegeben von
Prof. Dr. Karl-Heinz Lüke
Gerald Eichler
Prof. Dr. Christian Erfurth
Günter Fahrnberger
Copyright-Jahr
2019
Electronic ISBN
978-3-030-22482-0
Print ISBN
978-3-030-22481-3
DOI
https://doi.org/10.1007/978-3-030-22482-0

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