UNIVERSITY of CRETE Fall04 – HY436: Mobile Computing and Wireless Networks Location Sensing Overview Lecture 8 Maria Papadopouli

Slides:



Advertisements
Similar presentations
Dynamic Location Discovery in Ad-Hoc Networks
Advertisements

The Cricket Compass for Context-Aware Mobile Applications Nissanka B. Priyantha.
Computer Networks Group Universität Paderborn Ad hoc and Sensor Networks Chapter 9: Localization & positioning Holger Karl.
Introduction to Locating Systems in Ubiquitous Computing and Sensor Networks Amir Haghighat.
5/15/2015 Mobile Ad hoc Networks COE 499 Localization Tarek Sheltami KFUPM CCSE COE 1.
GPS-less Low-Cost Outdoor Localization for Very Small Devices Nirupama Bulusu, John Heidemann, and Deborah Estrin.
Location and Tracking Spring 2004: Location Recognition Larry Rudolph Location of what? Services applications, resources, sensors, actuators where.
Global Positioning Systems (GPS) for Precision Farming
Slides for Chapter 16: Mobile and Ubiquitous Computing From Coulouris, Dollimore and Kindberg Distributed Systems: Concepts and Design Edition 4, © Addison-Wesley.
Luca De Nardis Ranging and positioning in UWB ad- hoc networks Problem definition.
2003/4/21CSE 6362 Intelligent Environments Spring The Anatomy of a Context- Aware Application Computer Science and Engineering University of Texas.
1 Indoor Location Sensing Using Active RFID Lionel M. Ni, HKUST Yunhao Liu, HKUST Yiu Cho Lau, IBM Abhishek P. Patil, MSU Indoor Location Sensing Using.
1 Lecture on Positioning Prof. Maria Papadopouli University of Crete ICS-FORTH
1 University of Freiburg Computer Networks and Telematics Prof. Christian Schindelhauer Wireless Sensor Networks 16th Lecture Christian Schindelhauer.
Location Systems for Ubiquitous Computing Jeffrey Hightower and Gaetano Borriello.
1 Spatial Localization Light-Seminar Spring 2005.
TPS: A Time-Based Positioning Scheme for outdoor Wireless Sensor Networks Authors: Xiuzhen Cheng, Andrew Thaeler, Guoliang Xue, Dechang Chen From IEEE.
Location-sensing using the IEEE Infrastructure and the Peer-to-peer Paradigm for mobile computing applications Anastasia Katranidou Supervisor:
BluEyes Bluetooth Localization and Tracking Ei Darli Aung Jonathan Yang Dae-Ki Cho Mario Gerla Ei Darli Aung Jonathan Yang Dae-Ki Cho Mario Gerla.
WALRUS: Wireless Active Location Resolver with Ultrasound Tony Offer, Christopher Palistrant.
How Global Positioning Devices (GPS) work
Wireless Technology Wireless devices transmit information via Electromagnetic waves Early wireless devices –Radios – often called wireless in.
Smart Environments for Occupancy Sensing and Services Paper by Pirttikangas, Tobe, and Thepvilojanapong Presented by Alan Kelly December 7, 2011.
Basics of Wireless Locationing Mikko Asikainen, Msc University of Eastern Finland Department of Computer Science.
Tracking issues in the Wireless sensor Network Presented By Vinay Kumar Singh Date:
MIT 6.893; SMA 5508 Spring 2004 Larry Rudolph Lecture Cricket tutorial Cricket Tutorial on using cricket location system.
GPS Technology Tech Talk April, 2008 Chad Halvarson.
From Coulouris, Dollimore, Kindberg and Blair Distributed Systems: Concepts and Design Edition 5, © Addison-Wesley 2012 Slides for Chapter 19: Mobile and.
Localization in Sensor Networking John Quintero. Applications Application-driven, data-centric sensor networks frequently require location information.
Introduction to Sensor Networks Rabie A. Ramadan, PhD Cairo University 3.
Remote Sensing Microwave Remote Sensing. 1. Passive Microwave Sensors ► Microwave emission is related to temperature and emissivity ► Microwave radiometers.
SMART ANTENNA.
Architectures and Applications for Wireless Sensor Networks ( ) Localization Chaiporn Jaikaeo Department of Computer Engineering.
Implementing a Sentient Computing System Presented by: Jing Lin, Vishal Kudchadkar, Apurva Shah.
45 nm transistor 45nm =.045um (microns)= 450 Angstroms.
Sentient Computing Presenter : Alhaf malik.K Syed Ammal Engineering College, Ramanathapuram.
Location-sensing using the IEEE Infrastructure and the Peer-to-peer Paradigm for Mobile Computing Applications Anastasia Katranidou Supervisor:
Differential Ad Hoc Positioning Systems Presented By: Ramesh Tumati Feb 18, 2004.
Nissanka B. PriyanthaAnit Chakraborty Hari Balakrishnan MIT Lab for Computer Science The Cricket Location-Support System.
Global Positioning System (GPS) Satellite Location 20 Satellites in system Each carries very accurate clock Sends a coded signal every millisecond Ground.
West Hills College Farm of the Future. West Hills College Farm of the Future Precision Agriculture – Lesson 2 What is GPS? Global Positioning System Operated.
Chapter 2 GPS Crop Science 6 Fall 2004 October 22, 2004.
Webdust PI: Badri Nath SensIT PI Meeting January 15,16, Co-PIs: Tomasz Imielinski,
Cooperative Location- Sensing for Wireless Networks Authors : Haris Fretzagias Maria Papadopouli Presented by cychen IEEE International Conference on Pervasive.
Outline Location sensing techniques Location systems properties Existing systems overview WiFi localization techniques WPI precision personnel locator.
Mobile and Pervasive Computing - 4 Location in Pervasive Computing Presented by: Dr. Adeel Akram University of Engineering and Technology, Taxila,Pakistan.
The Cricket Compass for Context-Aware Mobile Applications
Location System for Ubiquitous Computing Jeffrey Hightower Gaetano Borriello University of Washington.
COMPUTER NETWORKS Lecture-3 Husnain Sherazi. Review Lecture 2  Resource Sharing  Growth of the Internet – Linear Scale – Log Scale  Tools for Probing.
Nissanka Bodhi Priyantha Computer Science, Massachusetts Institute of Technology RTLab. Seolyoung, Jeong Dissertation, MIT, June 2005.
Location-Sensing and Location Systems 1. A positioning system provides the means to determine location and leaves it to the user device to calculate its.
TRANSMISION LINE PROTECTION USING GPS PRESENTED BY:- KAJAL MOR M.TECH(PS)
Mobile Computing CSE 40814/60814 Spring 2017.
Teng Wei and Xinyu Zhang
Mobile and Pervasive Computing - 4 Location in Pervasive Computing
Understanding and using Location technologies
Acoustic mapping technology
Dynamic Fine-Grained Localization in Ad-Hoc Networks of Sensors
Wireless Sensor Network Architectures
Location Sensing (Inference)
Global Positioning System Supplemental from JD Text
Slides for Chapter 16: Mobile and Ubiquitous Computing
Net 435: Wireless sensor network (WSN)
Surveying Instruments
Wireless Mesh Networks
Wireless Sensor Networks and Internet of Things
A schematic overview of localization in wireless sensor networks
Team North Star + Lockheed Martin
Tutorial on using cricket location system
Overview: Chapter 4 Infrastructure Establishment
Presentation transcript:

UNIVERSITY of CRETE Fall04 – HY436: Mobile Computing and Wireless Networks Location Sensing Overview Lecture 8 Maria Papadopouli

University of Crete 2 Reading A Survey and Taxonomy of Location Systems for Ubiquitous ComputingA Survey and Taxonomy of Location Systems for Ubiquitous Computing Jeffrey Hightower and Gaetano Borriello (2001)

University of Crete 3 Roadmap Location Sensing Overview ♦ Location sensing techniques ♦ Location sensing properties ♦ Survey of location systems

University of Crete 4 Why is location sensing important ? ♦ Mapping systems ♦ Locating people & objects ♦ Wireless routing ♦ Supporting smart spaces and location-based applications

University of Crete 5 Location Sensing Techniques Triangulation ♦ Lateration ♦ Angulation Scene Analysis Proximity

University of Crete 6 Triangulation - lateration Measures distance from reference points 2-D requires 3 non-colinear points 3-D requires 4 non-colinear points

University of Crete 7 Radius 1 Radius 2 Radius 3 Triangulation - Lateration

University of Crete 8 Triangulation - Lateration Types of Measurements ♦ Direct touch ♦ Time-of-flight (e.g., sound waves travel 344m/s in 21 o C) ♦ Signal attenuation calculate based on send and receive strength attenuation varies based on environment

University of Crete 9 Time-of-Arrival: issues May require high time resolution (e.g., for light or radio) A light pulse (with 299,792,458m/s) will travel the 5m in 16.7ns Clock synchronization issue ♦ Possible solution ?

University of Crete 10 GPS 27 satellites Powered by solar energy (have backup batteries on board) Each has 4 rubidium atomic clocks which are locally averaged to maintain accuracy also updated daily by US Air Force Ground control Satellites are precisely synchronized with each other Receiver is not synchronized with the satellite transmitter Satellites transmit their local time in the signal Receivers compute their difference in time-of-arrival Receivers estimate their position (longitude, latitude, elevation) using 4 satellites Differential GPS

University of Crete 11 Triangulation - Angulation 2D requires: 2 angles and 1 known distance Phased antenna arrays 0° Angle 1 Angle 2 Known Length

University of Crete 12 Phased Antenna Array Multiple antennas with known separation Each measures time of arrival of signal Given the difference in time of arrival and the geometry of the receiving array, we can compute the angle from which the emission was originated If there are enough elements in the array and large separation, the angulation can be performed

University of Crete 13 Scene Analysis Compares scenes to reference scenes ♦ Images ♦ Electromagnetic readings Construct a signature of a position and apply pattern matching techniques with this signature Differential scene analysis ♦ Tracks differences in scenes Issues: the observer needs access to the features of the environment against which it will compare its observed scenes Changes of the environment that affects these features may require their reconstruction

University of Crete 14 Proximity Physical contact e.g., with pressure, touch sensors or capacitive detectors Within range of an access point Automatic ID systems ♦ computer login ♦ credit card sale ♦ RFID ♦ UPC product codes

University of Crete 15 Location System Properties Physical & symbolic location Absolute vs. relative Localized or remote computation Accuracy & precision requirements Scale Device identification/classification/recognition Cost Limitations & dependencies (e.g., infrastructure vs. ad hoc) Hardware availability Privacy requirements

University of Crete 16 Existing Location Systems Active Badge Active Bat Cricket RADAR RICE project MotionStar Magnetic Tracker Easy Living Smart Floor E911

University of Crete 17 Sensor Fusion Seeks to improve accuracy and precision by aggregating many location-sensing systems to form hierarchical and overlapping levels of resolution Robustness when some location-sensing system becomes unavailable Issue: assign weight/importance to the different location-sensing systems

University of Crete 18 Adaptive Fidelity General concept: the ability to adjust the service based on the resource availability Adjusts its precision in response to dynamic situations such as partial failures or directives to conserve energy

University of Crete 19 Active Bat User has a mobile “Bat” Infrastructure of controllers and ceiling sensors Within 9 cm of their true position 95% of the measurements Different signal modalities

University of Crete 20 Active Bat: Main Concept Controller sends simultaneously a radio signal and a synchronized reset signal to the ceiling sensors using a wired serial network Bat responds to the radio request with a ultrasonic beacon Ceiling sensors measure time-of-flight (from reset to ultrasonic pulse) Central system determines location using lateration Statistical pruning eliminates erroneous sensor measurements caused by a a ceiling sensor hearing a reflected ultrasound pulse instead of one that traveled along the direct path from the Bat to the sensor

University of Crete 21 Active Bat: issues Requires large infrastructure Maintenance cost Scalability Easy of deployment

University of Crete 22 Easy Living Uses 3D cameras Provides stereo-vision position capabilities Designed for home use

University of Crete 23 Smart Floor Pressure sensor grid installed in all floors Accurately determines positions of everyone in a building Users do not need to wear a tag or carry a device Cannot specifically identify an individual

University of Crete 24 E911 FCC is requiring wireless phone providers to locate any phone that makes an E911 call Different approaches ♦ proximity ♦ angulation with phased antenna arrays ♦ GPS-enabled handsets Leads to numerous new consumer services