DOCSLIB.ORG

Smart Assistants for Smart Homes

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Smart Assistants for Smart Homes Smart assistants for smart homes KATHARINA RASCH Doctoral Thesis in Electronic and Computer Systems Stockholm, Sweden 2013 TRITA-ICT/ECS AVH 13:16 KTH School of Information and 1653-6363 Communication Technology KTH/ICT/ECS/AVH-13/16-SE SE 164-40 Kista 978-91-7501-837-9 SWEDEN Akademisk avhandling som med tillstånd av Kungliga Tekniska Högskolan framlägges till offentlig granskning för avläggande av teknologie doktorsexamen i elektronik och datorsystem den 11 Oktober 2013 klockan 13 i Sal E, Forum Isafjordsgatan 39, Kista, Kungliga Tekniska Högskolan. © Katharina Rasch, September 2013 Tryck: Universitetsservice US AB iii Abstract The smarter homes of tomorrow promise to increase comfort, aid elderly and disabled people, and help inhabitants save energy. Unfortunately, smart homes today are far from this vision – people who already live in such a home struggle with complicated user interfaces, inflexible home configurations, and difficult installation procedures. Under these circumstances, smart homes are not ready for mass adoption. This dissertation addresses these issues by proposing two smart assistants for smart homes. The first assistant is a recommender system that suggests useful services (i.e actions that the home can perform for the user). The recommended services are fitted to the user’s current situation, habits, and preferences. With these recommendations it is possible to build much simpler user interfaces that highlight the most interesting choices currently available. Configuration becomes much more flexible: since the recommender system automatically learns user habits, user routines no longer have to be manually described. Evaluations with two smart home datasets show that the correct service is included in the top five recommendations in 90% of all cases. The second assistant addresses the difficult installation procedures. The unique feature of this assistant is that it removes the need for manually describing device functionalities (such descriptions are needed by the recommender system). Instead, users can simply plug in a new device, begin using it, and let the installation assistant identify what the device is doing. The installation assistant has minimal requirements for manufacturers of smart home devices and was successfully integrated with an existing smart home. Evaluations performed with this smart home show that the assistant can quickly and reliably learn device functionalities. v Acknowledgements First and foremost I am grateful to my supervisor Professor Rassul Ayani for all the support and guidance that he has given me over the past five years. Without him, this dissertation would not have been possible. I am thankful to my supervisor Professor Christian Schulte for all the helpful comments and ideas I got from him for my work. I also want to thank Johan Schubert for providing valuable feedback in the final year of my studies. Many thanks go to Professor Alois Ferscha for taking the time to be my opponent and for reading and commenting on this dissertation. A big thank you also goes to Marianne Hellmin and Sandra Gustavsson Nylén for helping me with all the bureaucratic hurdles. I am thankful to KTH and Sweden for giving me this opportunity. This research was partially funded by the “Smart homes for all” project (SM4All, EU FP7 STREP Grant No. 224332) and I would like to thank all my colleagues from this project. In particular, I am grateful to Fei Li and Sanjin Sehic from Vienna University of Technology for our collaboration, which resulted in a number of joint publications that form the basis for this dissertation. I am grateful to the all-knowing Thesaurus for never failing to show me alternative paths. I want to thank Eric-Oluf for proofreading and for all those lunches in Gallerian. Thank you to my fellow PhD students Imran, Shahab, Nima, Kathrin, Voravit, Irfan, Natalja, Salman, Byron, and many others for our semi-regular fikas and for making my workplace a pleasant one. Ett stort tack till Petter, Marianela, Edward, Annika och alla mina andra vänner i Sverige för mycket nöje och distraktion från jobbet. Vielen Dank an Sandra, Tobias, Tanja, Sebastian, Luise und die Familie für die vielen Besuche und für (manchmal dringend nötige) Ablenkung und Freude. Contents List of Figures xi List of Tables xiii List of Algorithms xv 1 Introduction 1 1.1 Visions for the home of the future . 1 1.2 Actual user experiences . 3 1.3 Smart assistants for smart homes . 3 1.3.1 A recommender system for smart homes . 3 1.3.2 An installation assistant for smart homes . 4 1.4 Contributions . 5 1.5 Source material . 8 1.6 Dissertation structure . 9 2 Background 11 2.1 Ubiquitous computing . 11 2.2 Smart homes . 12 2.3 Contributing technologies . 13 2.3.1 Sensing . 13 2.3.2 Reasoning . 14 2.3.3 Acting . 16 2.3.4 Human-Computer Interaction . 17 2.4 User expectations and experiences . 18 2.4.1 Studies of potential smart home users . 18 2.4.2 Studies of actual smart home users and smart home test labs . 19 2.4.3 Study results . 21 2.4.4 Discussion . 24 2.5 Ethical considerations . 26 2.5.1 Privacy . 26 2.5.2 Addressing important human needs . 27 2.6 Summary . 27 vii viii CONTENTS 3 Hyperspace Analogue to Context (HAC) 29 3.1 Requirements . 29 3.1.1 Context sources . 29 3.1.2 User context and context changes . 32 3.1.3 Service precondition and effect . 32 3.1.4 Summary of the requirements . 33 3.2 Hyperspace Analogue to Context (HAC) . 33 3.3 Context points . 35 3.3.1 Definition . 35 3.3.2 Current user context . 36 3.3.3 Changing the user context . 36 3.3.4 Modeling time information . 37 3.4 Context scopes . 39 3.5 Context-altering services . 40 3.5.1 Service preconditions . 40 3.5.2 Service effects . 41 3.5.3 Formal definition of context-altering services . 43 3.6 Operations in HAC . 44 3.6.1 Basis . 44 3.6.2 Projection . 45 3.6.3 Containment . 46 3.6.4 Scope combination . 47 3.7 Smart home datasets used for evaluation . 48 3.7.1 van Kasteren houseA and houseB . 48 3.7.2 Domus . 48 3.7.3 SM4All smart home . 49 3.7.4 Converting the datasets into HAC . 49 3.8 Summary . 52 4 A recommender system for smart homes 53 4.1 Example scenario . 53 4.2 Utilizing the recommendation results . 55 4.2.1 Active context-awareness . 55 4.2.2 Passive context-awareness . 55 4.2.3 Mixed strategy . 56 4.3 Performance requirements . 57 4.4 Overview of the recommender system . 58 4.5 Filtering unavailable services . 59 4.5.1 An algorithm for service filtering . 60 4.5.2 Reuse of previous filtering results . 60 4.5.3 Updated algorithm with reuse of previous results . 61 4.5.4 Runtime analysis . 62 4.6 Evaluation of service filtering . 62 4.6.1 Experimental setup . 62 CONTENTS ix 4.6.2 Inspecting the rate of affected services in smart home datasets . 63 4.6.3 Runtime of the filtering algorithms on smart home datasets . 63 4.6.4 Scalability of the filtering algorithms . 64 4.7 Summary . 66 5 Ranking services based on user habits 67 5.1 Example scenario . 67 5.2 Overview of the proposed method . 68 5.3 Training phase . 69 5.3.1 Extracting observation tuples . 69 5.3.2 Dealing with temporal data . 71 5.3.3 Counting the observations . 72 5.3.4 Incremental learning . 73 5.4 Calculate the service ranking . 73 5.4.1 Context change prediction . 73 5.4.2 Service matching . 76 5.4.3 Interpretation of the results . 77 5.4.4 Runtime analysis . 78 5.5 Evaluation . 79 5.5.1 Choice of datasets . 80 5.5.2 Procedure . 80 5.5.3 Metrics . 80 5.5.4 Comparison with Naïve Bayes . 81 5.5.5 Size of the training dataset . 82 5.5.6 Choice of time intervals . 83 5.5.7 Exploring conflict and uncertainty . 84 5.5.8 Runtimes on test datasets . 86 5.5.9 Algorithm scalability . 87 5.6 Summary . 87 6 Ranking services based on user preferences 89 6.1 User preference model . 90 6.2 Calculate the service ranking . 90 6.2.1 Distance between current context and user preference . 91 6.2.2 Service score . 92 6.2.3 Service ranking . 94 6.2.4 Runtime analysis . 96 6.3 Evaluation . 96 6.3.1 Choice of datasets . ..
Load more

Recommended publications
  • Vision of the Smart Home, the Services Concepts That Will Emerge and the Capabilities Needed to Support These Services on a Commercially Viable Basis
    Vision of Smart Home The Role of Mobile in the Home of the Future Contents Foreword Foreword Over the past decade, consumers the These services address consumers desire to manage their home 1 Executive Summary 1 world over have rapidly embraced mobile environment while becoming greener through lower energy telecommunications; connectivity has consumption and greater awareness of their CO2 footprint. The smart 2 Introduction 3 home concept, while it is still in its infancy, is set to become one of the allowed them to stay more and more in 3 Smart Home Vision 5 most significant consumer lifestyle developments of this decade. touch with their friends and colleagues. Smart Home Services 6 The smart home market is forecast to exceed $44bn in five years’ Stages in the Evolution of Smart Home Services 9 Now, the addition of connectivity to home time, bringing with it new opportunities for mobile network 4 Smart Home Landscape 13 appliances and the arrival of new online operators and the rest of the mobile ecosystem. The ubiquity of Supplier Ecosystem 13 energy management tools are creating mobile networks makes them indispensable for connecting smart home devices and Technology and Interoperability Landscape 17 the right environment for a new market in home energy management gateways, just as mobile phones are emerging as the main interface for home energy management applications. Smart Home - Growth Prospects in Vertical Segments 20 smart home services. 5 Smart Home Services and Requirements 25 We recognise, however, that the conversion of a home to a “smart” ecosystem is not going to happen without collaboration and cross-industry effort.
    [Show full text]
  • Downloaded (Thus Far, by More Than 262 Million People) Software Such As Skype
    Consortium Standards Bulletin A ConsortiumInfo.org publication February 2006 Vol V, No. 2 FEATURE ARTICLE CASE STUDY: THE UNRULY EMERGENCE OF THE DIGITAL HOME Andrew Updegrove Abstract: Although basic electrical devices like thermostats, phones and radios entered our dwellings many decades ago, the long-awaited vision of the "digital home" is only now becoming a reality. The emergence of the futuristic home, controlled by and for the fulfillment of the comfort, safety and enjoyment of its owners, has become possible only with the development of the hundreds of telecommunications, wireless, data format, networking and other standards that have been created by scores of accredited standards development organizations and unaccredited consortia, some venerable, and others new and created specifically for this purpose. An examination of how this new standards development ecosystem has evolved demonstrates how complex standards infrastructures come into existence through the reordering of relationships among existing, and the formation of new, standard setting organizations. Such a review also illustrates how participants behave when commercial opportunities are great, and the stakes for success (or failure) are high. Introduction: Through the coincidental maturation of a variety of technologies, the New Year has brought a rash of news stories and product announcements relating to innovations in digital home technology. All at once, multi-year research, standards development and commercialization efforts in video delivery and storage technology, wireless services (both "last mile" and in-home), multiple types of display technology, and new PC capabilities are converging at roughly the same time, allowing long- anticipated innovations in home services and systems to become available to consumers.
    [Show full text]
  • Programmable Fieldbus Controllers 61
    Programmable Fieldbus Cont rollers ŻŻ Section 2 Ż Section 3.1 Prog rammable Fieldbus Cont rollers Section 3.3 Ź PERSPECTO ® Control Panels PFC200 • Decentralized intelligence based on Prog rammable Fieldbus Cont rolle r XT R fieldbus couplers • Merging control and visualization • Maximum performance in a minimum • Programmable to IEC 61131-3 For demanding applications where the • 8.9 cm ... 38.1 cm (3.5” … 15”) space • WAGO-I/O-SYSTEM 750, modular following are critical: • High processing speed • Extreme temperature stability • Additional operating controls • Immunity to interference and (e.g., start/stop switch) impulse-voltage withstand • Based on Linux® also in • Vibration and shock resistance high-level language Cont rolle rs 3 Programmable Fieldbus Controllers 61 Page General Product Information 62 Ve rsions 63 Inte rf aces and Configurations 63 Installation Inst ructions 64 Item Numbe r Keys 65 Standa rds and Rated Conditions 65 ETHERNET TCP S S Net/IP r OFIBU R BACnet/IP IP KNX P CANopen Ethe CPU MODBU Othe rs Description Item No. IEC 60870-5 750-880 66 32-bit x x IEC 61850 ETHERNET Controller IEC 61400-25 750-881 68 750-885 70 x x Media redundancy ETHERNET Controller 32-bit 750-882 72 MODBUS RTU IEC 60870-5 32-bit x x IEC 61850 Telecontrol Controller 750-872 74 IEC 61400-25 3.2 ETHERNET TCP/IP Controller, x x MODBUS RTU 76 32-bit RS-232 750-873 PFC 32-bit x x ETHERNET Controller 750-852 78 32-bit x x KNX IP Controller 750-889 80 x x BACnet/IP Controller 750-831 82 32 Bit x x BACnet/IP Controller 750-830 84 32 Bit x BACnet MS/TP
    [Show full text]
  • Security Evaluation of the Z-Wave Wireless Protocol
    Security Evaluation of the Z-Wave Wireless Protocol Behrang Fouladi Sahand Ghanoun SensePost UK Ltd. [email protected] [email protected] Abstract — The Z-Wave wireless communication protocol has ZigBee protocol with regards to home automation. This is been widely used in home automation and wireless sensors partly due to interoperability of devices and shorter time to networks. Z-Wave is based on a proprietary design and a sole market on the vendor side. Another benefit is that it is less chip vendor. There have been a number of academic and subjected to signal interference compared to the ZigBee practical security researches on home automation systems based protocol, which operates on the widely populated 2.4 GHz on ZigBee and X10 protocols, however, no public vulnerability research on Z-Wave could be found prior to this work. band shared by both Bluetooth and Wi-Fi devices. The In this paper, we analyze the Z-Wave protocol stack layers and protocol specification and software development kit (SDK) [4] design a radio packet capture device and related software named are not open and only available to the device manufacturers Z-Force to intercept Z-Wave communications. This device (OEMs) who have signed an NDA with Sigma Designs. The enables us to decode different layers of the Z-Wave protocol and SDK costs between 1500 to 3500 US dollars and the NDA study the implementation of encryption and data origin prevents OEMs from disclosing the content of the SDK authentication in the application layer. We then present the publically. The aim of this research is to build a low cost Z- details of a vulnerability discovered using Z-Force tool in AES Wave packet capture and injection tool which facilitates the encrypted Z-Wave door locks that can be remotely exploited to security testing of home automation systems as well as aides unlock doors without the knowledge of the encryption keys.
    [Show full text]
  • Simon XT User Manual
    Simon XT User Manual P/N 466-2266 • REV F • OCT13 Copyright © 2012 UTC Fire & Security Americas Corporation, Inc. Interlogix is part of UTC Climate Controls & Security, a unit of United Technologies Corporation. All rights reserved. Disclaimer The information in this document is subject to change without notice. UTC Fire & Security, assumes no responsibility for inaccuracies or omissions and specifically disclaims any liabilities, losses, or risks, personal or otherwise, incurred as a consequence, directly or indirectly, of the use or application of any of the contents of this document. For the latest documentation, contact your local supplier or visit us online at http://www.utcfireandsecurity.com/. This publication may contain examples of screen captures and reports used in daily operations. Examples may include fictitious names of individuals and companies. Any similarity to names and addresses of actual businesses or persons is entirely coincidental. Trademarks and Simon and Simon XT are trademarks of UTC Fire & Security. patents Other trade names used in this document may be trademarks or registered trademarks of the manufacturers or vendors of the respective products. Manufacturer UTC Fire & Security Americas Corporation, Inc. 1275 Red Fox Rd., Arden Hills, MN 55112-6943, USA Software license Important: This end-user license agreement (“Agreement”) is a legal agreement between UTC FIRE & agreement SECURITY and You. Read the follow ing terms and conditions carefully before installing or using this Software. This agreement provides a license from UTC FIRE & SECURITY to use the Software. It also contains warranty information, disclaimers, and liability limitations. Installing and/or using the Software confirms Your agreement to be bound by these terms and conditions.
    [Show full text]
  • KNX the Smart Guide
    The Smart Guide KNX The Smart Guide Image disclaimer: All photographs used in this Smart Guide are of projects that have been completed by mySmartCTI. Photographs used may show installations that do not currently utilize the KNX protocol. Design » Deliver » Optimise » Guarantee The Smart Guide Contents: KNX – The worldwide STANDARD Welcome to the first edition of the 4 for building control mySmartCTI KNX Smart Guide. This guide aims to detail all of the Why open protocol? 5 information a consultant may require KNX Overview of Applications 6 when researching a KNX solution for specification in a commercial building. KNX Available Interfaces 7 This guide includes information on KNX, applications The Integrated Approach 8 for KNX, KNX topologies and interfacing KNX to other Advantages of Integration with KNX 9 building controls. It also includes common KNX solutions including fully converged buildings, also known as ‘baby Systems Layout & Installation Details 10 BMS’, lighting, façade automation, smart metering, audio- visual and HVAC. A typical KNX Bus network 11 with mixed devices We hope you find this guide beneficial and we look Standard KNX Bus Cable Specifications 12 forward to working with you to deliver many KNX projects in the future. KNX in Australia 13 Peter Garrett Converged Buildings 14 Managing Director, mySmartCTI Integrated Switching and GUIs 15 Visualisation & head-end Software 15 Lighting Control 16 Façade Automation 16 Metering 17 HVAC 17 Audio Visual 18 enGauge 18 About mySmartCTI 19 3 KNX The Smart Guide The worldwide STANDARD for building control KNX is now the world’s only truly open protocol endorsed A standard piece of manufacturer independent software by worldwide standards.
    [Show full text]
  • VIVINT SMART HOME, INC. (Exact Name of Registrant As Specified in Its Charter)
    Table of Contents As filed with the Securities and Exchange Commission on March 30, 2020 Registration No. 333-236340 UNITED STATES SECURITIES AND EXCHANGE COMMISSION Washington, D.C. 20549 AMENDMENT NO. 2 TO FORM S-3 ON FORM S-1 REGISTRATION STATEMENT UNDER THE SECURITIES ACT OF 1933 VIVINT SMART HOME, INC. (Exact Name of Registrant as Specified in Its Charter) Delaware 98-1380306 (State or Other Jurisdiction of (I.R.S. Employer Incorporation or Organization) Identification No.) 4931 North 300 West Provo, Utah 84604 (404) 504-7474 (Address, Including Zip Code, and Telephone Number, Including Area Code, of Registrant’s Principal Executive Offices) Shawn J. Lindquist Chief Legal Officer 4931 North 300 West Provo, Utah 84604 (404) 504-7474 (Name, Address, Including Zip Code, and Telephone Number, Including Area Code, of Agent for Service) Copies to: Igor Fert Mark Brod Simpson Thacher & Bartlett LLP 425 Lexington Avenue New York, NY 10017 (212) 455-2000 Approximate date of commencement of proposed sale to the public: From time to time after the effective date of this registration statement. If any of the securities being registered on this Form are to be offered on a delayed or continuous basis pursuant to Rule 415 under the Securities Act of 1933, please check the following box. ☒ If this Form is filed to register additional securities for an offering pursuant to Rule 462(b) under the Securities Act, please check the following box and list the Securities Act registration statement number of the earlier effective registration statement for the same offering. ☐ If this Form is a post-effective amendment filed pursuant to Rule 462(c) under the Securities Act, check the following box and list the Securities Act registration statement number of the earlier effective registration statement for the same offering.
    [Show full text]
  • Architecting Smart Home Environments for Healthcare: a Database-Centric Approach
    Architecting Smart Home Environments for Healthcare: A Database-Centric Approach Wagner Ourique de Morais DOCTORAL THESIS | Halmstad University Dissertations No. 15 Architecting Smart Home Environments for Healthcare: A Database-Centric Approach © Wagner Ourique de Morais Halmstad University Dissertations No. 15 ISBN 978-91-87045-33-2 (printed) ISBN 978-91-87045-32-5 (pdf) Publisher: Halmstad University Press, 2015 | www.hh.se/hup Printer: Media-Tryck, Lund Abstract The development of system architectures and applications for smart homes and ambient assisted living has been the main activity of a number of academic and industrial research projects around the world. Existing system architec- tures for smart environments usually employ different architectural styles in a multi-layer logical architecture to support the integration and interoperation of heterogeneous hardware and software technologies, which are subsequently used to provide two major functionalities: monitoring and assistance. It is also usual among existing architectures that the database management system is the most common but the least exploited architectural component, existing in the periphery of the system and devoted exclusively for data storage and re- trieval. However, database technology has advanced and matured considerably over the years, and, as a result, current database management systems can be and do more. This thesis considers the hypothesis of several features of modern database management systems being employed to address functional (e.g. well-being and security monitoring, automated control, data processing) and non-functional (e.g. interoperability, extensibility, data security and privacy) requirements of smart environments, i.e. the database management system serves as a platform for smart environments.
    [Show full text]
  • Maintenance and Decoding of Field Buses
    MAINTENANCE AND DECODING OF FIELD BUSES Today, most of the electrical appliances that we use include internal electronics. These circuits often need to communicate via data buses, either with ancillary systems, such Maintenance as remote sensors, or with control systems. This is particularly true in industry, where a single PLC remotely manages multiple sensors and actuators. Formerly, communication with these buses took place via an analogue signal using the “4-20 mA” network. This communication mode had many disadvantages, including Measurements the need for extensive equipment and complex wiring, thus increasing the time required for installation. For this reason, digital communication standards have been developed and are now widely used to avoid these problems. “Fieldbus” is a general term which corresponds to a method of communication between different systems. There are many standards: those specific to manufacturers Analysis and those standardized according to the equipment involved. Here are a few examples of fieldbuses used in different sectors of activity: Diagnostics The example of the automotive sector The new means of intra-system communication have allowed This provides numerous advantages: developments in the systems. The most obvious example is in the • less wiring automotive industry. In this sector, with the development of safety and • lower production costs due to savings on equipment analysis systems such as airbags, anti-lock braking systems (ABS) and • easier maintenance as there is only one communication channel electronic stability programs (ESP), the number of sensors and actuators on vehicles is constantly increasing. Each of these systems could be In addition, performance is improved because the linked directly to the vehicle’s computer via data buses, but this would data are available at all points on the require too much cable.
    [Show full text]
  • Getting Started with HCA and X10
    Getting Started with HCA and X10 This Getting Started Guide continues from the previous “Getting Started with HCA – Installation and Introduction” which covers installing HCA and the basic operations available from the ribbon. This guide assumes that you have reviewed that. In this guide these topics are covered. • Connecting an X10 capable interface to HCA • Creating a new design file • Adding X10 devices using the HCA Designer • Controlling devices from the HCA user interface • Scheduling a device to come on at sunset • Responding to a button press on a keypad If you have not already purchased HCA and you are looking to test drive this software, you can download a free 30-day trial of HCA Plus from the HCA support website at www.HomeControlAssistant.com. Connecting the X10 interface to HCA Before HCA can control X10 devices in your home, you must connect an interface to your computer. There are several different interfaces that can send and receive X10 signals. We recommend that you use the Smart Home PowerLinc model 2413. The advantage of that interface is that it can send and receive both the older X10 signals and the newer Insteon signals. That lets you use your existing devices but add newer ones and be able to control both. Instructions for installing the 2413 PowerLinc can be found in the Getting Started with HCA and Insteon guide. You can also use the older CM11 and CM15 interfaces. The CM11 is a serial interface and can be connected to the computer and the communications port it uses is specified in the HCA hardware setup.
    [Show full text]
  • Authenticating Wireless Nodes in Building Automation: Challenges and Approaches
    Authenticating Wireless Nodes in Building Automation: Challenges and Approaches Aurelio Schellenbaum, Tobias Schläpfer, Christian Oskar Camenzind Stauffer and Andreas Rüst Zurich University of Applied Science (ZHAW) Siemens Building Technologies Institute of Embedded Systems (InES) Zug, Switzerland Winterthur, Switzerland [email protected] [email protected] Abstract — Modern wireless nodes in building gateways with routers significantly simplifies a building automation systems interconnect natively through automation system and enables new applications. the Internet Protocol (IP). As a result, the emerging Employing IP communication, a central automation coalescence of existing IT networks with networks on station can directly and uniformly access sensor and the field level presents many challenges. Specifically, actuator services on field nodes. mutual authentication of devices in an IT Consequently, to become a full-fledged member of an environment is one of the main issues. Moreover, this IT domain, a constrained node on the field level has to mutual authentication has to take place with fulfill specific security requirements. However, embedded devices in the field that feature manifold implementing such requirements is especially constraints and require a simple but secure challenging on constrained low power and low cost provisioning. The Fairhair Alliance is in the process nodes. Such nodes typically have decidedly lower of standardizing an autonomic secure bootstrapping resources with regard to compute performance, memory process to tackle these challenges. The paper outlines and network connectivity. Nevertheless, such nodes this automated approach and shows the successful require a mutual authentication during the provisioning implementation of a real-life prototype. This into an individual IT domain. Specifically, several trust demonstrates that the required cryptographic relationships need to be established.
    [Show full text]
  • Enocean Alliance Now with More Than 170 Members (01/2011)
    The way into the future. The EnOcean Standard for sustainable buildings. Energy-efficient. Interoperable. Practice-proven. Self-powered wireless technology from EnOcean. Everything else is prior art. ENOCEAN IS THE KEY TO INTELLIGENT GREEN BUILDINGS. Due to the unique combination of miniaturised energy converters with reliable radio technology, these wireless sensor networks operate for decades without maintenance, are flexible, and ensure cost reductions and energy savings in buildings and industrial installations alike: n Building automation optimizes energy savings and reduces operating costs lowering total cost of ownership. It furthermore, enhances security, protection and convenience. n Wireless radio technology is essential to the success of building automation. It permits the required number, functionality and flexibility of the necessary sensors. Radio technology minimizes installation times and reduces system costs. n No batteries is a mandatory requirement for larger installations. The cost to monitor, replace and recycle batteries increases with the number of installed nodes. Batteryless EnOcean radio solutions are eco-friendly, comply with the principles of building biology, and save key resources. PREMINO II, MUNICH New office building 2007: cross-facility solution Application Building automation with WAGO I/O, DALI, sunshield, heating control, ceilings with integrated cooling Solution n 55 window contacts n 352 lighting switches n 321 blind switches n 303 room temperature sensors n Room controllers in ceilings and floors Benefits n Flexible room structure n Simple installation and service n Full interoperability of products ENOCEAN WIRELESS STANDARD FOR SUSTAINABLE BUILDING. Self-powered Only EnOcean wireless technology supports batteryless and maintenance-free sensors that can be freely positioned: switches next to doors, temperature sensors at the workplace, and motion detectors in the middle of rooms.
    [Show full text]