Privacy Implications of Radio Frequency Identification (RFID) Technology
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Towards a Smart City Based on Cloud of Things Riccardo Petrolo, Valeria Loscrì, Nathalie Mitton
Towards a Smart City based on Cloud of Things Riccardo Petrolo, Valeria Loscrì, Nathalie Mitton To cite this version: Riccardo Petrolo, Valeria Loscrì, Nathalie Mitton. Towards a Smart City based on Cloud of Things. Proceedings of WiMobCity - International ACM MobiHoc Workshop on Wireless and Mobile Tech- nologies for Smart Cities, Aug 2014, Philadelphia, United States. hal-01004489v2 HAL Id: hal-01004489 https://hal.inria.fr/hal-01004489v2 Submitted on 18 Aug 2014 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Towards a Smart City based on Cloud of Things Riccardo Petrolo, Valeria Loscrì, Nathalie Mitton fi[email protected] - Inria Lille-Nord Europe, France ABSTRACT volved in the Cloud and solutions for the convergence and Smart City represents one of the most promising and promi- evolution of IoT and cloud computing infrastructures exist. nent Internet of Things (IoT) applications. In the last few Nevertheless, there are still some challenges to face such as: years, smart city concept has played an important role in 1) the interoperability among different ICT systems; 2) a academic and industry fields, with the development and de- huge amount of data to be processed provided in real-time ployment of various middleware platforms. -
Smart Dust: Communicating with a Cubic- Millimeter Computer
COVER FEATURE Smart Dust: Communicating with a Cubic- Millimeter Computer The Smart Dust project is probing microfabrication technology’s limitations to determine whether an autonomous sensing, computing, and communication system can be packed into a cubic-millimeter mote to form the basis of integrated, massively distributed sensor networks. Brett ecreasing computing device size, increased • monitoring environmental conditions that affect Warneke connectivity, and enhanced interaction with crops and livestock; the physical world have characterized com- • building virtual keyboards; Matt Last puting’s history. Recently, the popularity of • managing inventory control; Brian Dsmall computing devices, such as handheld • monitoring product quality; Liebowitz computers and cell phones, burgeoning Internet • constructing smart-office spaces; and growth, and the diminishing size and cost of sensors— • providing interfaces for the disabled. Kristofer S.J. especially transistors—have accelerated these trends. Pister The emergence of small computing elements, with SMART DUST REQUIREMENTS University of sporadic connectivity and increased interaction with Smart Dust requires both evolutionary and revolu- California, the environment, provides enriched opportunities to tionary advances in miniaturization, integration, and Berkeley reshape interactions between people and computers energy management. Designers can use microelectro- and spur ubiquitous computing research.1 mechanical systems (MEMS) to build small sensors, The Smart Dust project2 is exploring whether an optical communication components, and power sup- autonomous sensing, computing, and communication plies, whereas microelectronics provides increasing system can be packed into a cubic-millimeter mote (a functionality in smaller areas, with lower energy con- small particle or speck) to form the basis of integrated, sumption. Figure 1 shows the conceptual diagram of massively distributed sensor networks. -
Kent Academic Repository Full Text Document (Pdf)
Kent Academic Repository Full text document (pdf) Citation for published version Arief, Budi and Blythe, Phil and Fairchild, Richard and Selvarajah, Kirusnapillai and Tully, Alan (2008) Integrating Smartdust into Intelligent Transportation System. In: 10th International Conference on Application of Advanced Technologies in Transportation (AATT 2008), 27-31 May 2008, Athens, Greece. DOI Link to record in KAR https://kar.kent.ac.uk/58716/ Document Version UNSPECIFIED Copyright & reuse Content in the Kent Academic Repository is made available for research purposes. Unless otherwise stated all content is protected by copyright and in the absence of an open licence (eg Creative Commons), permissions for further reuse of content should be sought from the publisher, author or other copyright holder. Versions of research The version in the Kent Academic Repository may differ from the final published version. Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the published version of record. Enquiries For any further enquiries regarding the licence status of this document, please contact: [email protected] If you believe this document infringes copyright then please contact the KAR admin team with the take-down information provided at http://kar.kent.ac.uk/contact.html INTEGRATING SMARTDUST INTO INTELLIGENT TRANSPORTATION SYSTEMS Budi Arief1, Phil Blythe2, Richard Fairchild3, Kirusnapillai Selvarajah4, Alan Tully5 ABSTRACT. The last few years have seen the emergence of many new technologies that can potentially have major impacts on Intelligent Transportation Systems (ITS). One of these technologies is a micro-electromechanical device called smartdust. A smartdust device (or a mote) is typically composed of a processing unit, some memory, and a radio chip, which allows it to communicate wirelessly with other motes within range. -
Wireless Sensor Networks
WIRELESS SENSOR NETWORKS PRESENTED BY VIVEK KRISHNA KANNAN SIDDARTH RAM MOHAN ARUN OUTLINE • Wireless sensor networks • The Internet of Things and the role of WSN • TinyOS • Programming with Tinyos WIRELESS SENSOR NETWORKS • Comprises of spatially connected autonomous sensors • Typically used to measure temperature, pressure etc • Usually bi-directional allowing for control of sensor activity WIRELESS SENSOR NETWORKS MOTES/NODES • Sensors + supporting elements = Mote/Node • So, apart from the sensor, each mote typically consists of : • Radio transceiver with an internal antenna • A microcontroller • An interfacing element between the microcontroller and sensor • An energy source ( Battery or an energy harvesting element) GATEWAY • GATEWAY acts as a bridge between the WSN and other networks. This enables data to be stored and processed by devices with more resources, for example, in a remotely located server. RADIO TECHNOLOGIES AVAILABLE • Long range: 3G / GPRS • Medium range: ZigBee / 802.15.4 / WiFi • Short range: RFID / NFC / Bluetooth 4.0 ROUTING PROTOCOLS : CHALLENGES • No global IP addressing • This is due to the relatively large number of sensor nodes • Consequently overhead of ID maintenance is high • Thus IP based protocols don’t work ROUTING PROTOCOLS • The search for an ideal universal routing protocol for WSN’s is an ongoing process • A Technique is to have protocols based on the network structure • Common protocols for WSN: flat based and location based network structures ROUTING PROTOCOL : FLAT BASED NETWORK STRUCTURE • Here -
Smart Dust Technology
250, Mini-Project Report Amy Haas Smart Dust Technology Smart dust is an emerging technology with a huge potential for becoming an internationally successful commercial venture. Now is the best time to invest in smart dust – right at the point at which the scientific community is close to perfecting the technology and its applications but its potential has not yet been realized by the capitalist market. Fundamental Concept Smart dust is a theoretical concept of a tiny wireless sensor network, made up of microelectromechanical sensors (called MEMS), robots, or devices, usually referred to as motes, that have self-contained sensing, computation, communication and power1. According to the smart dust project design created by a team of UC Berkeley researchers2, within each of these motes is an integrated package of “MEMS sensors, a semiconductor laser diode and MEMS beam-steering mirror for active optical transmission, a MEMS corner-cube retroreflector for passive optical transmission, an optical receiver, signalprocessing and control circuitry, and a power source based on thick-film batteries and solar cells.” The intent is that these motes will eventually become the size of a grain of sand or a dust particle, hence the name “smart dust”, but the technology still has a long way to go to achieve its target size. In current sensor technology, the sensors are about the size of a bottle cap or small coin. As with most electronic devices or technologies, the biggest challenges in achieving actual smart dust are the power consumption issues and making the batteries small enough. Although there is a lot of work being done on solar cells to keep the motes self-sustaining, the components are just not small enough yet to actually be considered smart dust. -
Jul 2 7 2000
THE SNAP! TOOLKIT FOR DEVELOPING SENSOR NETWORKS AND APPLICATION TO XC SKIING BY MATTHEW B. DEBSKI Submitted to the Department of Electrical Engineering and Computer Science in Partial Fulfillment of the Requirements for the Degrees of Bachelor of Science in Electrical Engineering and Computer Science and Master of Engineering in Electrical Engineering and Computer Science at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY May 2000 2 20C: MASSACHUSETTS INSTITUTE © Massachusetts Institute of Technology 2000. All rights reserved. OF TECHNOLOGY JUL 2 7 2000 LIBRARIES Author Department of Electrical Engineering and Computer Science May 18, 2000 Certified by MichaelJ. Hawley Assistant Prolssor of Media Arts and Sciences Alex Dreyfoos Jr. (1954) Career Development Professor of Media Arts and Sciences Thesis Supervisor Accepted by Arthur C. Smith Chairman, Department Committee on Graduate Theses ' pT THE SNAP! TOOLKIT FOR DEVELOPING SENSOR NETWORKS AND APPLICATION TO XC SKIING BY MATTHEW B. DEBSKI Submitted to the Department of Electrical Engineering and Computer Science in Partial Fulfillment of the Requirements for the Degrees of Bachelor of Science in Electrical Engineering and Computer Science and Master of Engineering in Electrical Engineering and Computer Science May 18, 2000 ABSTRACT Athletes, health professionals, animal specialists, meteorologists, and other investigators increasingly employ small, human-scale sensor networks in their disciplines. The sensor networks used by each field and study have unique requirements. Regardless, these networks all collect and store data, and often display or transmit them. The Snap! toolkit takes advantage of the similarities among sensor networks to make prototyping them fast and easy. Simultaneously, it acknowledges their inherent differences, remaining flexible in order to accommodate the needs of different systems. -
Network Traffic Characteristics of the Iot Application Use Cases
Network Traffic Characteristics of the IoT Application Use Cases Jozef Mocnej Adrian Pekar Winston K.G. Seah Iveta Zolotova Technical University Victoria University of Wellington Technical University of Kosice, Slovakia New Zealand of Kosice, Slovakia Email: [email protected] Email: adrian.pelar,winston.seah @ecs.vuw.ac.nz Email: [email protected] { } Abstract—The Internet of Things (IoT) is a highly discussed many cases, however, this benefit means the communication paradigm aimed at the connection of everyday objects to the of low power devices over lossy networks, which creates high Internet. The idea of enabling objects to communicate with demands on the used technologies. Consequently, we need to each other brings significant benefits, yet there are several challenges that have to be also addressed. In recent years, understand the requirements of IoT application use cases in researchers have developed many solutions to resolve IoT issues order to create more efficient IoT solutions. and enhance the overall evolution. New technologies have been The aim of this paper is to contribute to the highly discussed proposed and existing approaches redefined to meet the specific topic of IoT by looking at IoT application use cases and requirements of IoT. However, the complexity and diversity of describe them from a traffic characteristics perspective. Our the area make the process quite difficult. This paper describes the IoT paradigm and provides an overview of efforts expended objective is to identify as accurately as possible the demands to date. It discusses topics such as IoT definitions, categorisation on networks defined by IoT application scenarios, which of IoT application areas and the greatest IoT challenges. -
Case /.'06-285F
NATIONAL SCIENCE FOUNDATION 4201 WILSON BOULEVARD ARLINGTON, VIRGINIA 22230 nsf OFFICE OF THE GENERALCOUNSEL Case /.'06-285F October 17.2006 Ms. M'dwh Mofmaiiii Staff Attorney Fleclronie Frontiei Foundation 1875 Coonecticul Avenue, WW, Suite 850 Wasmn#on, DC 7.0009 Dear Ms. rloimann: ibis is in response to sour Scpien<ber 26. 2006 emailed Freedom of In formation. Act (FOIA> request .for eoui.es of the NSF fiu-ded grants r-umbered 042.3.386, 0209190 and 0512976. Records responsive io your request are enclosed. Personal information (individual salaries, bios, pending aiid non-Federal grams) has been withheld wherever it appears uncer the; pviv.-ey protests''.-n of Exemption 6 of the FOiA. Reviewer identifying in forma!ion in ihe proposal jacket is withheld under exemptions 5 and;6 of the Freedom of lp-ormali'ori Ac! {.- '.J.S.C. :": 52(b)) that protect from disclosure the prcdeeisional, ueJiberaWe process and. personal information and exemption (k)(5) of the Privacy Act (5 IJ.S.C !o?a). Father, reviewer's coiniininis/rankings are exempt from disclosure under the provisions oM.-.xanption (b)(3) of the FOiA. Your right of administrative appeal is set ftVlh in See'riot; 612.9 of dsc NSF FOIA regulation (copy enclosed). There is ao fee (or FCTA services in this instance in accordance with 5 U.S.C. 552 uOC^XAX'i) yt seq. Sincerely, Leslie A Jensen FOIA/Privacy Act Ofiker Hnciosure:-; Telephone (703) 292-8060 FAX (703) 292-9041 §612.9 Appeals. .F^omof.nfonna,ionAc.ApI«a.,Yo«rappea11enerInus,iIlduae.c0pyofyo»r wrinenreques,a„a,heae„ia1,oEe*erwi*anyWri«enargume«youWishK,subml«. -
Using Radio Frequency Identification and Virtual Reality to Map and Track Assets
Using Radio Frequency Identification and Virtual Reality to Map and Track Assets by Christopher S. Moon Advisor: Dr. David Fredrick Honors Assistant to the Advisor: Keenan Cole Thesis in partial fulfillment of the requirements for the degree Bachelor of Science in Business Administration in Information Systems Sam M. Walton College of Business University of Arkansas Fayetteville, Arkansas May 8th, 2011 1 Contents An Introduction to Technologies Used ........................................................................................... 3 What is Radio Frequency Identification? .................................................................................... 3 Table 1 ‐ Example of Typical RFID Data................................................................................... 5 What is Virtual Reality Technology? ........................................................................................... 6 What is Unity? ............................................................................................................................. 8 Objective ......................................................................................................................................... 8 Current Visualization Standards ..................................................................................................... 9 Figure 1 ‐ Current 3D Representation of RFID Positional Data at the University of Arkansas RFID Lab ................................................................................................................................. -
NTT Technical Review, November 2012, Vol. 10, No. 11
Feature Articles: Communication Science that Connects Information and Humans Information Processing of Sensor Networks Takayuki Suyama and Yutaka Yanagisawa Abstract In this article, we introduce technologies for collecting information from many sensor nodes deployed in the environment and/or attached to people, interpreting the sensor data as meaningful information, and presenting it to people appropriately. 1. Introduction In our daily lives, we are surrounded by many sen- sors. For example, a video game machine uses an accelerometer as one of its input devices, and a mobile phone uses GPS (global positioning system) to determine the user’s location. In the field of weath- er forecasting, pressure, temperature, and other infor- mation about various places is collected in a network and utilized in creating a weather forecast. Although individual sensors are used in various situations, sen- sor networks are becoming easier to use as a result of sensor evolution and the spread of sensor network technology driven by progress in semiconductor technology. Sensor networks and their information Fig. 1. Sensor nodes. processing technology are expected to be used for various purposes, such as collecting information to enable the provision of appropriate services that suit sides of about 1 mm to 2 mm, and observes environ- a particular situation and for recognizing the real mental information collected from the sensor nodes. world. However, the need for miniaturization, which was initially advocated and dictated the sensor node’s 2. Research on sensor networks size, is no longer considered to be such a high prior- ity. Research on sensor networks is progressing with a The flow of information on a sensor network is focus on a sensor node equipped with various sen- shown in Fig. -
W3c-Web-Of-Things-Intro.Pdf
Web of Things Countering Fragmentation to unlock the potential of the IoT Dave Raggett <[email protected]> W3C Staff Champion for the Web of Things Internet of Things (IoT) • “IoT” coined by Kevin Ashton in 1999 • Generally used for sensors and actuators that are connected in some way to the Internet • Sensing and controlling physical things in conjunction with other data • Enabling collection of vast amounts of data 2 IoT Applications Smart Homes Wearables Healthcare Power & Environment Smart Cities Manufacturing 3 And many many more application areas Some IoT Benefits – Predictive maintenance, e.g. for railway networks, power stations, manufacturers, etc. • Reduced down time, enabling massive savings • Reduced maintenance costs compared to fixed schedule • Also valuable for consumers, e.g. cars, washing machines, etc. – Analytics for cost savings and enhanced customer experience • Design improvements based upon statistics of use – Better asset utilization for manufacturing lines • Purchasing and investment tied to accurate data measurements • Switching from mass production to mass customization – Assistive living for people with physical or cognitive impairments 4 Data = Improvements in Wellbeing • As people live longer, IoT sensors can help to improve their quality of live, and reduce costs of healthcare, freeing money for other purposes • Anonymous datamining of healthcare records can improve effectiveness of medication and enable the development of new treatments 5 Data = Money • Good quality data can be monetized – Everyone carries location -
RFID Technology for Human Implant Devices Hervé Aubert
RFID Technology for Human Implant Devices Hervé Aubert To cite this version: Hervé Aubert. RFID Technology for Human Implant Devices. Comptes rendus à l’Académie des Sciences, 2011, Special issue on nanosciences/nanotechnologies. hal-00599304 HAL Id: hal-00599304 https://hal.archives-ouvertes.fr/hal-00599304 Submitted on 9 Jun 2011 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Comptes rendus à l’Académie des Sciences Special issue on nanosciences/nanotechnologies March 1st, 2011 Hervé AUBERT RFID Technology for Human Implant Devices Technologie RFID pour implants dans le corps humain Hervé Aubert Laboratoire d’Analyse et d’Architecture des Systèmes (LAAS) - CNRS and University of Toulouse: INP, UPS, INSA, ISAE 7 Avenue du colonel Roche, Toulouse, France - email : [email protected] Abstract - This paper presents an overview on Radio Frequency Identification (RFID) technology for human implants and investigates the technological feasibility of such implants for locating and tracking persons or for remotely controlling human biological functions. Published results on the miniaturization of implantable passive RFID devices are reported as well as a discussion on the choice of the transmission frequency in wireless communication between passive RFID device implanted inside human body and an off-body interrogator.