DOCSLIB.ORG

A Secure Patient Monitoring Solution Using Wireless Sensor Networks

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
A Secure Patient Monitoring Solution Using Wireless Sensor Networks A Secure Patient Monitoring Solution using Wireless Sensor Networks Submitted by Avijit Mathur For the award of Doctor of Philosophy Supervised by Dr. Thomas Newe Department of Electronic and Computer Engineering Submitted to the University of Limerick October 2017 Declaration This thesis is written to meet the requirements for the degree of Doctorate of Philosophy. It is entirely my own work and has not been submitted to any other university or higher institution. Where the work of other people has been used, it has been fully referenced and acknowledged. Signed ____________________________________ Avijit Mathur i Contents 1 INTRODUCTION 1 RESEARCH OBJECTIVES ................................................................................................... 3 RESEARCH METHODOLOGY.............................................................................................. 4 NOVELTY OF RESEARCH .................................................................................................. 5 STRUCTURE OF THESIS ..................................................................................................... 5 RESULTING PUBLICATIONS............................................................................................... 6 SUMMARY ....................................................................................................................... 6 2 SENSOR NETWORKS BACKGROUND AND OVERVIEW 9 WIRELESS SENSOR NETWORKS ......................................................................................... 9 2.1.1 Existing healthcare Systems ..................................................................................10 2.1.2 Applications .........................................................................................................12 2.1.3 Protocols...............................................................................................................14 2.1.4 Platforms ..............................................................................................................24 2.1.5 Operating Systems ................................................................................................27 SUMMARY ......................................................................................................................33 3 SAS: SYSTEM AND SECURITY 35 SYSTEM OVERVIEW ........................................................................................................35 3.1.1 Security Protocols .................................................................................................37 3.1.2 Communication Protocols .....................................................................................39 SECURITY OVERVIEW .....................................................................................................42 3.2.1 Security Services ..................................................................................................42 3.2.2 Security Attacks ....................................................................................................43 3.2.3 Physical Security ..................................................................................................44 3.2.4 Link Layer Security ..............................................................................................45 3.2.5 Routing Security ...................................................................................................46 3.2.6 Internet Security ...................................................................................................48 SUMMARY ......................................................................................................................50 4 SECURE ROUTING 51 CURRENT SOLUTIONS .....................................................................................................52 EXPERIMENTAL SET-UP ...................................................................................................54 4.2.1 Routing .................................................................................................................55 4.2.2 Black-hole attack and consequences ......................................................................56 4.2.3 Black-hole Countermeasure ..................................................................................57 4.2.4 Selective Forwarding attack and consequences ......................................................59 4.2.5 Selective Forwarding Countermeasure...................................................................59 4.2.6 Packet Gathering ...................................................................................................63 4.2.7 BS Analysis ..........................................................................................................64 iii DETAILS ON PROTOCOL MODIFICATIONS......................................................................... 66 RESULTS ........................................................................................................................ 66 4.4.1 Latency: Network ................................................................................................. 67 4.4.2 Accuracy .............................................................................................................. 68 4.4.3 Power consumption: Tmote Sky (Cooja) ............................................................... 71 4.4.4 Current consumption: Openmote .......................................................................... 73 SECURITY IMPLEMENTED ............................................................................................... 75 SUMMARY ..................................................................................................................... 76 5 SYSTEM KEY MANAGEMENT 77 CURRENT SOLUTIONS ..................................................................................................... 79 PREREQUISITES FOR SYSTEM KEY MANAGEMENT ........................................................... 81 5.2.1 Platform: Openmote ............................................................................................. 81 5.2.2 Platform: Intel Edison ........................................................................................... 81 5.2.3 Platform: PC ........................................................................................................ 81 5.2.4 Platform: Mosquitto Broker (via Internet) ............................................................. 82 5.2.5 System Work-flow ............................................................................................... 82 KEY MANAGEMENT ........................................................................................................ 84 5.3.1 Key Updates ......................................................................................................... 85 5.3.2 Results ................................................................................................................. 87 PSEUDO RANDOM NUMBER GENERATOR SEEDING (PRNGS) ........................................... 88 SUMMARY ..................................................................................................................... 91 6 CLUSTER ELECTIONS 93 CURRENT SOLUTIONS ..................................................................................................... 94 ARCHITECTURE .............................................................................................................. 95 6.2.1 Platform and OS ................................................................................................... 96 EXPERIMENTAL SET-UP .................................................................................................. 97 6.3.1 Cluster Security .................................................................................................... 98 6.3.2 Results ................................................................................................................. 99 SUMMARY ................................................................................................................... 107 7 CONCLUSION 109 SYSTEM IMPLEMENTATION ........................................................................................... 110 SIMULATION VS HARDWARE ........................................................................................ 112 7.2.1 Secure Routing ................................................................................................... 113 7.2.2 Cluster Elections ................................................................................................ 114 CONTRIBUTIONS .......................................................................................................... 116 FUTURE WORK ............................................................................................................ 117 A PUBLICATIONS 119 B PROGRAMMING CODE (HIGHLIGHTS) 121 iv B.1 LINUX-PC APPLICATION (MAIN FUNCTION).................................................................... 121 B.2 EDISON BOARD (SAMPLE SERIAL DATA) ....................................................................... 122 B.3 CLUSTERSCHEME.H (SENSOR NODES) ............................................................................ 123 B.4 KEYS.H (ROUTER NODES).............................................................................................. 125 BIBLIOGRAPHY 127 v List of Figures FIGURE 2.1: OVERVIEW OF A WIRELESS SENSOR NETWORK SYSTEM IN HEALTHCARE ..........................10 FIGURE 2.2: SENSORS USED FOR MEDICAL APPLICATION OF WIRELESS
Load more

Recommended publications
  • Shared Sensor Networks Fundamentals, Challenges, Opportunities, Virtualization Techniques, Comparative Analysis, Novel Architecture and Taxonomy
    Journal of Sensor and Actuator Networks Review Shared Sensor Networks Fundamentals, Challenges, Opportunities, Virtualization Techniques, Comparative Analysis, Novel Architecture and Taxonomy Nahla S. Abdel Azeem 1, Ibrahim Tarrad 2, Anar Abdel Hady 3,4, M. I. Youssef 2 and Sherine M. Abd El-kader 3,* 1 Information Technology Center, Electronics Research Institute (ERI), El Tahrir st, El Dokki, Giza 12622, Egypt; [email protected] 2 Electrical Engineering Department, Al-Azhar University, Naser City, Cairo 11651, Egypt; [email protected] (I.T.); [email protected] (M.I.Y.) 3 Computers & Systems Department, Electronics Research Institute (ERI), El Tahrir st, El Dokki, Giza 12622, Egypt; [email protected] 4 Department of Computer Science & Engineering, School of Engineering and Applied Science, Washington University in St. Louis, St. Louis, MO 63130, 1045, USA; [email protected] * Correspondence: [email protected] Received: 19 March 2019; Accepted: 7 May 2019; Published: 15 May 2019 Abstract: The rabid growth of today’s technological world has led us to connecting every electronic device worldwide together, which guides us towards the Internet of Things (IoT). Gathering the produced information based on a very tiny sensing devices under the umbrella of Wireless Sensor Networks (WSNs). The nature of these networks suffers from missing sharing among them in both hardware and software, which causes redundancy and more budget to be used. Thus, the appearance of Shared Sensor Networks (SSNs) provides a real modern revolution in it. Where it targets making a real change in its nature from domain specific networks to concurrent running domain networks. That happens by merging it with the technology of virtualization that enables the sharing feature over different levels of its hardware and software to provide the optimal utilization of the deployed infrastructure with a reduced cost.
    [Show full text]
  • Contemporary Developments in Wireless Sensor Networks
    I.J.Modern Education and Computer Science, 2012, 3, 1-13 Published Online April 2012 in MECS (http://www.mecs-press.org/) DOI: 10.5815/ijmecs.2012.03.01 Contemporary Developments in Wireless Sensor Networks Sangeeta Mittal Department of Computer Science & Information Technology, Jaypee Institute of Information Technology, Noida, India Email: [email protected] Alok Aggarwal Department of Computer Science & Information Technology, Jaypee Institute of Information Technology, Noida, India Email: [email protected] S.L. Maskara G2W - Soura Niloy. 1 - Kailash Ghosh Road.Kolkata - 700 008. ( WB ). India Email: [email protected] Abstract—Wireless Sensor Networks (WSN) since their made a tremendous progress. An analysis of inception, a decade ago, have grown well in research and contemporary developments in these sub areas of WSN is implementation. In this work the developments in WSNs are the subject matter of this paper and we elaborate on these reported in three sub areas of wireless sensor networks that aspects. The applications of WSN encompass many areas is, wireless sensor node (hardware and software), like healthcare, environmental monitoring, smart Communication & Networking issues in WSNs and application areas. WSNs are characterized by huge data dwellings and civil & battle field security. Still challenges hence research work in aggregation & mining is also such as design of new sensor devices to sense & calibrate discussed. Contemporary issues of integration of WSNs with phenomenon of new interests, integration of WSNs with other prevalent networks, sensor enabled smartness and co existing networks and meaningful interpretation of role of artificial intelligence methods is elaborated. Insight sensor data has to be addressed [4][5].
    [Show full text]
  • A Smart Sensor Grid to Enhance Irrigation Techniques in Jordan Using a Novel Event-Based Routing Protocol
    Multimodal Technologies and Interaction Conference Report A Smart Sensor Grid to Enhance Irrigation Techniques in Jordan Using a Novel Event-Based Routing Protocol Maher Ali Al Rantisi 1,*, Glenford Mapp 2,3 and Orhan Gemikonakli 3 1 Department of Communications, School of Science and Technology, Middlesex University London, London NW4 4BT, UK 2 Department of Computer Science, School of Science and Technology, Middlesex University London, London NW4 4BT, UK 3 Department of Design Engineering & Maths, School of Science and Technology, Middlesex University, London NW4 4BT, UK; [email protected] (G.M.); [email protected] (O.G.) * Correspondence: [email protected] Academic Editor: Cristina Portalés Ricart Received: 7 February 2017; Accepted: 11 May 2017; Published: 16 May 2017 Abstract: Due to rapid changes in climatic conditions worldwide, environmental monitoring has become one of the greatest concerns in the last few years. With the advancement in wireless sensing technology, it is now possible to monitor and track fine-grained changes in harsh outdoor environments. Wireless sensor networks (WSN) provide very high quality and accurate analysis for monitoring of both spatial and temporal data, thus providing the opportunity to monitor harsh outdoor environments. However, to deploy and maintain a WSN in such harsh environments is a great challenge for researchers and scientists. Several routing protocols exist for data dissemination and power management but they suffer from various disadvantages. In our case study, there are very limited water resources in the Middle East, hence soil moisture measurements must be taken into account to manage irrigation and agricultural projects.
    [Show full text]
  • A Multi-Agent System for Environmental Monitoring Using Boolean Networks and Reinforcement Learning
    Journal of Cyber Security DOI:10.32604/jcs.2020.010086 Article A Multi-Agent System for Environmental Monitoring Using Boolean Networks and Reinforcement Learning Hanzhong Zheng1 and Dejie Shi2,* 1Department of Computer Science, The University of Pittsburgh, Pittsburgh, PA 15213, USA 2School of Computer and Information Engineering, Hunan University of Technology and Business, Changsha, 410205, China *Corresponding Author: Dejie Shi. Email: [email protected] Received: 10 February 2020; Accepted: 28 June 2020 Abstract: Distributed wireless sensor networks have been shown to be effective for environmental monitoring tasks, in which multiple sensors are deployed in a wide range of the environments to collect information or monitor a particular event, Wireless sensor networks, consisting of a large number of interacting sensors, have been successful in a variety of applications where they are able to share information using different transmission protocols through the communication network. However, the irregular and dynamic environment requires traditional wireless sensor networks to have frequent communications to exchange the most recent information, which can easily generate high communication cost through the collaborative data collection and data transmission. High frequency communication also has high probability of failure because of long distance data transmission. In this paper, we developed a novel approach to multi-sensor environment monitoring network using the idea of distributed system. Its communication network can overcome the difficulties of high communication cost and Single Point of Failure (SPOF) through the decentralized approach, which performs in-network computation. Our approach makes use of Boolean networks that allows for a non-complex method of corroboration and retains meaningful information regarding the dynamics of the communication network.
    [Show full text]
  • Survey of Energy Harvesting Systems for Wireless Sensor Networks in Environmental Monitoring
    Metrol. Meas. Syst. , Vol. 23 (2016), No. 4, pp. 495–512. METROLOGY AND MEASUREMENT SYSTEMS Index 330930, ISSN 0860-8229 www.metrology.pg.gda.pl SURVEY OF ENERGY HARVESTING SYSTEMS FOR WIRELESS SENSOR NETWORKS IN ENVIRONMENTAL MONITORING 1) 1) 1,2) Bogdan Dziadak , Łukasz Makowski , Andrzej Michalski 1) Warsaw University of Technology, Faculty of Electrical Engineering, Koszykowa 75, 00-661 Warsaw, Poland ([email protected], [email protected], * [email protected], +48 22 234 7427 ) 2) Military University of Technology, Institute of Electronic Systems Gen. S. Kaliskiego 2, 00-908 Warsaw, Poland Abstract Wireless Sensor Networks (WSNs) have existed for many years and had assimilated many interesting innovations. Advances in electronics, radio transceivers, processes of IC manufacturing and development of algorithms for operation of such networks now enable creating energy-efficient devices that provide practical levels of performance and a sufficient number of features. Environmental monitoring is one of the areas in which WSNs can be successfully used. At the same time this is a field where devices must either bring their own power reservoir , such as a battery, or scavenge energy locally from some natural phenomena. Improving the efficiency of energy harvesting methods reduces complexity of WSN structures . This survey is based on practical examples from the real world and provides an overview of state-of-the-art methods and techniques that are used to create energy- efficient WSNs with energy harvesting. Keywords: environmental monitoring, wireless sensor networks, energy harvesting. © 2016 Polish Academy of Sciences. All rights reserved 1. Introduction Wireless Sensor Networks (WSNs) are swarms of small measurement devices that employ a microcontroller and are able to communicate with each other to cooperatively constitute a superior, networked form that is not a simple sum of these single objects but a virtual organism of nodes that unite for the network’s common goal.
    [Show full text]
  • Integrating Wireless Sensor Networks with Computational Grids
    Integrating Wireless Sensor Networks with Computational Grids Nikolaos Preve School of Electrical and Computer Engineering, National Technical University of Athens, Heroon Polytechneiou 9, Zographou 15773, Greece [email protected] Abstract. Wireless sensor networks (WSNs) have been greatly developed and emerged their significance in a wide range of important applications such as ac- quisition and process information from the physical world. The evolvement of Grid computing has been based on coordination of distributed and shared re- sources. A Sensor Grid network can integrate these two leading technologies enabling real-time sensor data collection, the sharing of computational and stor- age grid resources for sensor data processing and management. Several issues have occurred from this integration which dispute the modern design of sensor grids. In order to address these issues, in this paper we propose a sensor grid ar- chitecture supporting it by a testbed which focuses on the design issues and on the improvement of our sensor grid architecture design. Keywords: Wireless Sensor Networks, Computational Grids, Sensor Grid. 1 Introduction Recent advances in microelectromechanical systems (MEMS), digital communica- tions, wireless sensor networks (WSNs), distributed systems and low-power embed- ded processing, have led us to a new computing environment by the combination of informatics with the physical world [1]. The development of wireless sensor networks was motivated by the users’ needs in order to interact with the physical world. Nowadays, wireless sensor networks contain small, low-cost and low-power sensor nodes “motes” [2]. Also, wireless sensor networks contain sensor devices or instru- ments with sensing and data processing capabilities.
    [Show full text]
  • Performance Analysis of Wireless Sensor Network Using Zigbee Pro for Remote Patient Monitoring Application
    Journal of Network Communications and Emerging Technologies (JNCET) www.jncet.org Volume 6, Issue 3, March (2016) Performance analysis of Wireless Sensor Network using Zigbee Pro for Remote patient monitoring Application Anilkumar B Assistant Professor, Dept. of ECE, GMRIT, Rajam, India. Lakshmidevi N Assistant Professor, Dept. of CSE, GMRIT, Rajam, India. Abstract – Remote patient monitoring is an eHealth service, processor, and some memory and low-power radio. They are which is used to collect and transfer bio signal data from the small in size, light weight and low cost. patients to the eHealth service provider (e.g., healthcare center). Having timestamps that are robust and reliable is essential for The sensors sense the surroundings and send the information remote patient monitoring in order for patient data to have to the base station (or sink) either directly or through context and to be correlated with other data. The usage of WSNs intermediate nodes. The end user can get the information from will overcome the need of patients to be stationery for their vital the base station. parameters to be measured. In this paper the network performance is studied and analyzed based on various Wireless Sensor Networks (WSNs) are becoming an integral performance parameters like sensor node density, part of healthcare systems, as they can overcome the need for communication duration, Packet Delivery Ratio (PDR), patients to be stationary while their vital parameters are being throughput, average network delay and energy consumed etc. By checked .Wearable physiological sensors can be placed on comparing obtained performance with required performance, patient’s body to constantly monitor vital parameters of the choose appropriate node density, data transmission rate and patient such as body temperature, blood pressure, respiratory communication duration for establishment of Zigbee based WSN for patient monitoring.
    [Show full text]
  • Design and Implementation of a Sensor Network System for Vehicle
    Design and Implementation of a Sensor Network System for Vehicle Tracking and Autonomous Interception Cory Sharp Shawn Schaffert Alec Woo Naveen Sastry Chris Karlof Shankar Sastry David Culler University of California, Berkeley Abstract objects must be disambiguated and used to make continual We describe the design and implementation of PEG, a pursuer course corrections. networked system of distributed sensor nodes that detects The autonomous interception problem concretely mani- an uncooperative agent called the evader and assists an fests many of the capabilities envisioned for sensor net- autonomous robot called the pursuer in capturing the evader. works [1], [2], including several levels of in-network process- PEG requires services such as leader election, routing, net- ing, routing to mobile agents, distributed coordination, and work aggregation, and closed loop control. Instead of using closed-loop control. We address these issues in terms of the general purpose distributed system solutions for these ser- whole system design, rather than as isolated subproblems. vices, we employ whole-system analysis and rely on spatial Indeed, this whole-system view yields pragmatic solutions and physical properties to create simple and efficient mech- that are more simple than what is generally found in the anisms. We believe this approach advances sensor network literature for individual subproblems. design, yielding pragmatic solutions that leverage physical We built and demonstrated a working purser/evader system 2 properties to simplify design of embedded distributed sys- comprising a field of 100 motes spread over a 400m area tems. in July 2003. The evader was a four-wheeled robot driven by We deployed PEG on a 400 square meter field using a person using remote control.
    [Show full text]
  • Sensor Networks and Their Applications: Investigating the Role of Sensor Web Enablement
    Sensor Networks and Their Applications: Investigating the Role of Sensor Web Enablement A Thesis submitted for the degree of Communications Engineering Doctorate (EngD) Jeffery George Foley Communications & Information Systems Research Group Department of Electronic & Electrical Engineering University College London BT Group plc, BT Centre, 81 Newgate Street, London EC1A 7AJ March 2014 Statement of Originality I, Jeffery George Foley, confirm that the work presented in this thesis is my own. Where information has been derived from other sources, I confirm that this has been indicated in the thesis. Signed: _______________________________ Date: ________________________________ 2 Abstract The Engineering Doctorate (EngD) was conducted in conjunction with BT Research on state-of-the-art Wireless Sensor Network (WSN) projects. The first area of work is a literature review of WSN project applications, some of which the author worked on as a BT Researcher based at the world renowned Adastral Park Research Labs in Suffolk (2004-09). WSN applications are examined within the context of Machine-to-Machine (M2M); Information Networking (IN); Internet/Web of Things (IoT/WoT); smart home and smart devices; BT’s 21st Century Network (21CN); Cloud Computing; and future trends. In addition, this thesis provides an insight into the capabilities of similar external WSN project applications. Under BT’s Sensor Virtualization project, the second area of work focuses on building a Generic Architecture for WSNs with reusable infrastructure and ‘infostructure’ by identifying and trialling suitable components, in order to realise actual business benefits for BT. The third area of work focuses on the Open Geospatial Consortium (OGC) standards and their Sensor Web Enablement (SWE) initiative.
    [Show full text]
  • The Internet of Things in the Cloud
    THE INTERNET I OF THINGS Downloaded by [New Horizon College of Engineering] at 01:03 10 March 2017 The Internet of Things in the Cloud A Middleware Perspective Honbo Zhou CRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742 © 2013 by Taylor & Francis Group, LLC CRC Press is an imprint of Taylor & Francis Group, an Informa business No claim to original U.S. Government works Version Date: 2012918 International Standard Book Number-13: 978-1-4398-9302-9 (eBook - PDF) This book contains information obtained from authentic and highly regarded sources. Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint. Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmit- ted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers. For permission to photocopy or use material electronically from this work, please access www.copyright. Downloaded by [New Horizon College of Engineering] at 00:56 10 March 2017 com (http://www.copyright.com/) or contact the Copyright Clearance Center, Inc.
    [Show full text]
  • A Holistic Approach to Zigbee Performance Enhancement for Home Automation Networks
    Sensors 2014, 14, 14932-14970; doi:10.3390/s140814932 sensorsOPEN ACCESS ISSN 1424-8220 www.mdpi.com/journal/sensors Article A Holistic Approach to ZigBee Performance Enhancement for Home Automation Networks August Betzler 1;2;*, Carles Gomez 1;2, Ilker Demirkol 1;2 and Josep Paradells 1;2 1 Department of Telematics Engineering, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain; E-Mails: [email protected] (C.G.); [email protected] (I.D.); [email protected] (J.P.) 2 Fundacio i2CAT, 08034 Barcelona, Spain * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +34-93-401-7041; Fax.: +34-93-401-1058. Received: 9 June 2014; in revised form: 18 July 2014 / Accepted: 29 July 2014 / Published: 14 August 2014 Abstract: Wireless home automation networks are gaining importance for smart homes. In this ambit, ZigBee networks play an important role. The ZigBee specification defines a default set of protocol stack parameters and mechanisms that is further refined by the ZigBee Home Automation application profile. In a holistic approach, we analyze how the network performance is affected with the tuning of parameters and mechanisms across multiple layers of the ZigBee protocol stack and investigate possible performance gains by implementing and testing alternative settings. The evaluations are carried out in a testbed of 57 TelosB motes. The results show that considerable performance improvements can be achieved by using alternative protocol stack configurations. From these results, we derive two improved protocol stack configurations for ZigBee wireless home automation networks that are validated in various network scenarios.
    [Show full text]
  • Distributed Stream Processing in a Global Sensor Grid for Scientific Simulations
    Distributed Stream Processing in a Global Sensor Grid for Scientific Simulations Von der Fakultät Informatik, Elektrotechnik und Informationstechnik und dem Stuttgart Research Centre for Simulation Technology der Universität Stuttgart zur Erlangung der Würde eines Doktors der Naturwissenschaften (Dr. rer. nat.) genehmigte Abhandlung Vorgelegt von Andreas Martin Georg Benzing aus Stuttgart – Bad Cannstatt Hauptberichter: Prof. Dr. rer. nat. Kurt Rothermel Mitberichter: Prof. Dr. Frank Leymann Prof. Dr. Pedro José Marrón Tag der mündlichen Prüfung: 19.10.2015 Institut für Parallele und Verteilte Systeme Universität Stuttgart 2015 Danksagungen Ich danke allen Menschen, die mich während meines Promotionsvorhabens begleitet und unterstützt haben. Zunächst gilt mein Dank meinem Doktorvater Prof. Dr. Kurt Rothermel, für zahlreiche wertvolle Hinweise, konstruktive Diskussionen und die Möglichkeit, meine Forschungen am Lehrstuhl Verteilte Systeme durchführen zu können. Prof. Dr. Frank Leymann, meinem Mitbetreuer, gilt mein Dank für seine hilfreichen Kommentare. Prof. Dr. Pedro José Marrón danke ich für sein Interesse an meiner Arbeit als Gutachter. Für die Betreuung während meines Aufenthalts in Toronto danke ich Prof. Dr. Hans-Arno Jacobsen und den Mitarbeitern der Middleware Systems Research Group. Allen meinen Kollegen am Lehrstuhl danke ich für eine sehr angenehme Arbeitsatmo- sphäre. Dr. Boris Koldehofe stand mir immer als Ansprechpartner zur Verfügung und hatte bei jedem Problem ein offenes Ohr. Explizit nennen möchte ich auch meine Begleiter seit Studienbeginn Beate Ottenwälder und Björn Schilling. Dr. Marcus Reble, Dr. Jan Hasenauer und ihre Kollegen vom Institut für Systemtheorie und Regelungstechnik zeig- ten mir mit ihrer Sicht auf die Welt neue Perspektiven. Dr. Tudor Ionescu vom Institut für Kernenergetik und Energiesysteme danke ich für die konstruktive Zusammenarbeit.
    [Show full text]