Ultra-Low Power Time Synchronization Using Passive Radio Receivers Yin Cheny, Qiang Wangz, Marcus Changy, Andreas Terzisy Johns Hopkins University, Harbin.

Slides:



Advertisements
Similar presentations
A 2 -MAC: An Adaptive, Anycast MAC Protocol for Wireless Sensor Networks Hwee-Xian TAN and Mun Choon CHAN Department of Computer Science, School of Computing.
Advertisements

Long RAnge Navigation version C
Transmission Power Control in Wireless Sensor Networks CS577 Project by Andrew Keating 1.
Surviving Wi-Fi Interference in Low Power ZigBee Networks Chieh-Jan Mike Liang, Nissanka Bodhi Priyantha, Jie Liu, Andreas Terzis Johns Hopkins University,
Nemo: A High-fidelity Noninvasive Power Meter System for Wireless Sensor Networks Ruogu Zhou, Guoliang Xing Department of Computer Science and Engineering,
S-MAC Sensor Medium Access Control Protocol An Energy Efficient MAC protocol for Wireless Sensor Networks.
PERFORMANCE MEASUREMENTS OF WIRELESS SENSOR NETWORKS Gizem ERDOĞAN.
Ultra-Low Power Time Synchronization Using Passive Radio Receivers Yin Chen † Qiang Wang * Marcus Chang † Andreas Terzis † † Computer Science Department.
Presented by: Murad Kaplan.  Introduction.  Design of SCP-MAC.  Lower Bound of Energy Performance with Periodic Traffic.  Protocol Implementation.
Design and Evaluation of a Versatile and Efficient Receiver- Initiated Link Layer for Low-Power Wireless Prabal Dutta, Stephen Dawson-Haggerty, Yin Chen,
PEDS September 18, 2006 Power Efficient System for Sensor Networks1 S. Coleri, A. Puri and P. Varaiya UC Berkeley Eighth IEEE International Symposium on.
Integrated  -Wireless Communication Platform Jason Hill.
The Flooding Time Synchronization Protocol
Time Synchronization Murat Demirbas SUNY Buffalo.
1 Ultra-Low Duty Cycle MAC with Scheduled Channel Polling Wei Ye Fabio Silva John Heidemann Presented by: Ronak Bhuta Date: 4 th December 2007.
1 University of Freiburg Computer Networks and Telematics Prof. Christian Schindelhauer Wireless Sensor Networks 13th Lecture Christian Schindelhauer.
Versatile low power media access for wireless sensor networks Joseph PolastreJason HillDavid Culler Computer Science Department University of California,Berkeley.
1 What is GPS?. The Global Positioning System Constellation GPS is a global navigation satellite system developed by the U.S. Department of Defense, managed.
Patrick Caldwell Chris Kellar. Overview  Basic Concepts  History  Structure  Applications  Communication  Typical Sources of Error.
The Goal Redesign Microprocessor Labs For New Chip Redesign Microprocessor Labs For New Chip Continuation of work started by Miguel Morales last year Continuation.
How Global Positioning Devices (GPS) work
Computer networks 6: Wireless and Mobile Networks.
SVY 207: Lecture 4 GPS Description and Signal Structure
FlockLab: A Testbed for Distributed, Synchronized Tracing and Profiling of Wireless Embedded Systems IPSN 2013 NSLab study group 2013/04/08 Presented by:
Sharif University of Technology Physical layer: Wireless Transmission.
RushNet: Practical Traffic Prioritization for Saturated Wireless Sensor Networks Chieh-Jan Mike Liang †, Kaifei Chen ‡, Nissanka Bodhi Priyantha †, Jie.
Judah Levine, NIST, CENAM, Sept 2012: 1 Introduction to Time and Timekeeping Judah Levine Time and Frequency Division NIST/Boulder
RT-Link: A Time-Synchronized Link Protocol for Energy-Constrained Multi- hop Wireless Networks Anthony Rowe, Rahul Mangharam and Raj Rajkumar CMU SECON.
10/7/ Innovative Solutions International Satellite Navigation Division ION NTM 01 Capabilities of the WAAS and EGNOS For Time Transfer SBAS, an Alternate.
How Does GPS Work ?. Objectives To Describe: The 3 components of the Global Positioning System How position is obtaining from a radio timing signal Obtaining.
Localization using DOT3 Wireless Sensors Design & Implementation Motivation Wireless sensors can be used for locating objects: − Previous works used GPS,
6: Wireless and Mobile Networks6-1 Chapter 6 Wireless and Mobile Networks Computer Networking: A Top Down Approach Featuring the Internet, 3 rd edition.
Copyright 2002, S.D. Personick. All Rights Reserved.1 Telecommunications Networking II Topic 13 Broadcast Technology and Applications Dr. Stewart D. Personick.
Other Chapters From the text by Valvano: Introduction to Embedded Systems: Interfacing to the Freescale 9S12.
Network Coding Testbed Jeremy Bergan, Ben Green, Alex Lee.
Network and Systems Laboratory nslab.ee.ntu.edu.tw Prabal Dutta, Stephen Dawson-Haggerty, Yin Chen, Chieh-Jan (Mike) Liang, and Andreas Terzis Sensys 2010.
Omid Abari Hariharan Rahul, Dina Katabi and Mondira Pant
UNIVERSITY COLLEGE DUBLIN Adaptive Radio Modes in Sensor Networks: How Deep to Sleep? SECON 2008 San Francisco, CA June 17, 2008 Raja Jurdak Antonio Ruzzelli.
Distributing UTC(NIST) to Industrial Time and Frequency Users Michael Lombardi NIST Time and Frequency Division Distributing UTC(NIST) to Industrial Time.
1 Chapter 5. Antennas and Propagations Wen-Shyang Hwang KUAS EE.
CRGIS Global Positioning Systems The Basics CRGIS National Park Service.
GPS: Everything you wanted to know, but were afraid to ask Andria Bilich National Geodetic Survey.
ECE 4710: Lecture #2 1 Frequency  Communication systems often use atmosphere for transmission  “Wireless”  Time-varying Electro-Magnetic (EM) Wave 
RushNet: Practical Traffic Prioritization for Saturated Wireless Sensor Networks Chieh-Jan Mike Liang †, Kaifei Chen ‡, Nissanka Bodhi Priyantha †, Jie.
SVY 207: Lecture 7 Differential GPS By now you should understand: –How GPS point positioning works from first principles Aim of this lecture: –To understand.
Network and Systems Laboratory nslab.ee.ntu.edu.tw Branislav Kusy, Christian Richter, Wen Hu, Mikhail Afanasyev, Raja Jurdak, Michael Brunig, David Abbott,
Antennas and Propagation Chapter 5. Introduction An antenna is an electrical conductor or system of conductors Transmission - radiates electromagnetic.
Low Power, Low Delay: Opportunistic Routing meets Duty Cycling Olaf Landsiedel 1, Euhanna Ghadimi 2, Simon Duquennoy 3, Mikael Johansson 2 1 Chalmers University.
Basics Modulation Multiple Access
COMMUNICATION SYSTEMS (5marks)
Accurate Prediction of Power Consumption in Sensor Networks University of Tubingen, Germany In EmNetS 2005 Presented by Han.
Performance Evaluation of IEEE
Link Layer Support for Unified Radio Power Management in Wireless Sensor Networks IPSN 2007 Kevin Klues, Guoliang Xing and Chenyang Lu Database Lab.
Project: IEEE P Working Group for Wireless Personal Area Networks (WPANS) Submission Title: [UWB System Design for Low Power, Precision Location.
Ultra-Low Duty Cycle MAC with Scheduled Channel Polling (Wei Ye, Fabio Sliva, and John Heidemann) Advanced Computer Networks ECE Fall Presented.
TIMING APPLICATIONS OF GPS High Energy Transmission with High Precision GPS Time Gaurav Sharma John Hannah Vivekanand Sivaraman.
AN ADAPTIVE MAC PROTOCOL FOR WIRELESS SENSOR NETWORKS Wen-Hwa Liao, Hsiao-Hsien Wang, and Wan-Chi Wu PIMRC ’ 07.
Frame counter: Achieving Accurate and Real-Time Link Estimation in Low Power Wireless Sensor Networks Daibo Liu, Zhichao Cao, Mengshu Hou and Yi Zhang.
Calibration Techniques for Stopwatches and Timers
Towards Optimal Sleep Scheduling in Sensor Networks for Rare-Event Detection Qing Cao, Tarek Abdelzaher, Tian He, John Stankovic Department of Computer.
Ultra-Low Duty Cycle MAC with Scheduled Channel Polling
Georg Oberholzer, Philipp Sommer, Roger Wattenhofer
Georg Oberholzer, Philipp Sommer, Roger Wattenhofer
Abraham Bradley (Astrophysics Group)
Gaurav Sharma John Hannah Vivekanand Sivaraman
Gaurav Sharma John Hannah Vivekanand Sivaraman
Loran c R.Ezhilarasan( ) R.Dinesh( )
Eng. Ibrahim N. Abu-Isbeih
Antennas & Propagation
Programmable Interval Timer
Presentation transcript:

Ultra-Low Power Time Synchronization Using Passive Radio Receivers Yin Cheny, Qiang Wangz, Marcus Changy, Andreas Terzisy Johns Hopkins University, Harbin Institute of Technology IPSN 2011 Presenter: SY

Time Synchronization Protocols GPS, RBS, FTSP, PulseSync, Power line, etc. Desired properties – Low-power consumption – Support for large scale networks – Accuracy that is independent of network size – Access to UTC time – Support for disconnected operation – Low latency – Operate in both indoors and outdoors universal time signal receiver Their accuracy is in ms GPS, RBS, FTSP, PulseSync Power line

Outline Time Signal Radio Stations Universal Time Signal Receiver Evaluation Applications And Conclusion

Time Signal Radio Stations Broadcast time signal periodically Some of the time signal radio stations

WWVB Radio Station Location: Fort Collins, Colorado National Institute of Standards and Technology (NIST) Coverage Area grp40/vb-coverage.cfm

DCF77 Location: Mainflingen, Germany German national meteorology institute (PTB) Coverage area

LF Radio Waves Two components – Ground wave follows the Earth’s curvature – Sky wave Earth’s ionosphere For 50 kW DCF77 transmitter – within 600 km  ground wave dominates – km  ground wave and sky wave equal magnitude – beyond 1100 km  only the refracted sky wave

WWVB Data Frame One-bit-per-second time code Each frame contains 60 bits Data frames transmitted back-to-back – 60 frames per hour Start-of-a-second time stamps 06:11 UTC on the 144th day (May 24) of 2010 DST bits indicate that the daylight saving time is active

Outline Time Signal Radio Stations Universal Time Signal Receiver Evaluation Applications And Conclusion

Universal Time Signal Receiver Antenna CME6005 radio chip Microcontroller PIC16LF mm 33 mm analog time signals digital outputs Interrupt: Record timer value Interrupt: Record timer value Interrupt: Record timer value Calculate interval Interrupt: Record timer value Calculate interval Power Consumption: 90uA one-pulse-per- second (1PPS) UART output output Power Consumption: 0.6uA (sleep) 800uA (Active) Power Consumption: 0.6uA (sleep) 800uA (Active)

Power Consumption

Compare Power Consumption FTSP Universal Time Signal Receiver Compare

Synchronization Error

Signal Availability Hourly decoded ratio

Signal Availability

Some Notes Interference – Steel frame buildings completely shield – Brick buildings allow signal reception – CRT screens can interfere from 5-10 meters – Laptops can interfere within one meter Local Time Signal Generators – Up to 50 meters radius

Synchronous MAC Protocols Implemented a time-scheduled version of LPL running CTP on top Duty cycles

Other Applications Latency Reduction Sparse Networks Drop-in Replacement for GPS Network-Wide Wakeup Failure-Prone Sensor Networks

Conclusion Implemented universal time signal receiver – Very low power – Millisecond accuracy – Wide availability