April 20, 2008Emmett Nicholas ECE 256 1 Drive-by Localization of Roadside WiFi Networks Anand Prabhu Subramanian, Pralhad Deshpande, Jie Gao, Samir R.

Slides:



Advertisements
Similar presentations
A Connected Vehicle-Based Application to Estimate Road Roughness Transportation agencies devote significant resources towards collection of highly detailed.
Advertisements

FM-BASED INDOOR LOCALIZATION TsungYun 1.
Computer Networks Group Universität Paderborn Ad hoc and Sensor Networks Chapter 9: Localization & positioning Holger Karl.
1 Link Layer Multicasting with Smart Antennas: No Client Left Behind Souvik Sen, Jie Xiong, Rahul Ghosh, Romit Roy Choudhury Duke University.
Accuracy Characterization for Metropolitan-scale Wi-Fi Localization Yu-Chung Cheng (UCSD, Intel Research) Yatin Chawathe (Intel Research) Anthony LaMarca.
ACCURACY CHARACTERIZATION FOR METROPOLITAN-SCALE WI-FI LOCALIZATION Presented by Jack Li March 5, 2009.
Accuracy Characterization for Metropolitan-scale Wi-Fi Localization Ying Wang, Xia Li Ying Wang, Xia Li.
P-1. P-2 Outline  Principles of cellular geo-location  Why Geo-Location?  Radio location principles  Urban area challenges  HAWK – suggested solution.
Error Estimation for Indoor Location Fingerprinting.
RADAR: An In-Building RF-based User Location and Tracking System Paramvir Bahl and Venkata N. Padmanabhan Microsoft Research.
Volkan Cevher, Marco F. Duarte, and Richard G. Baraniuk European Signal Processing Conference 2008.
© University of Minnesota Data Mining for the Discovery of Ocean Climate Indices 1 CSci 8980: Data Mining (Fall 2002) Vipin Kumar Army High Performance.
1 University of Freiburg Computer Networks and Telematics Prof. Christian Schindelhauer Wireless Sensor Networks 16th Lecture Christian Schindelhauer.
On the Construction of Energy- Efficient Broadcast Tree with Hitch-hiking in Wireless Networks Source: 2004 International Performance Computing and Communications.
1 Spatial Localization Light-Seminar Spring 2005.
Scalable and Distributed GPS free Positioning for Sensor Networks Rajagopal Iyengar and Biplab Sikdar Department of ECSE, Rensselaer Polytechnic Institute.
Experimental Evaluation
MobiSteer: Using Steerable Beam Directional Antenna for Vehicular Network Access Samir R. Das Computer Science Department Stony Brook University Joint.
Review: Accuracy Characterization for Metropolitan-scale Wi-Fi Localization Authors: Cheng, Chawathe, LaMacra, Krumm 2005 Slides Adapted from Cheng, MobiSys.
RFID Object Localization Gabriel Robins and Kirti Chawla Department of Computer Science University of Virginia
MobiSteer: Using Steerable Beam Directional Antenna for Vehicular Network Access Vishnu Navda, Anand Prabhu Subramanian, Kannon Dhanasekaran, Andreas Timm-Giel,
Radial Basis Function Networks
Presented by Tao HUANG Lingzhi XU. Context Mobile devices need exploit variety of connectivity options as they travel. Operating systems manage wireless.
Selective Sampling on Probabilistic Labels Peng Peng, Raymond Chi-Wing Wong CSE, HKUST 1.
I AM THE ANTENNA: ACCURATE OUTDOOR AP LOCATION USING SMARTPHONES ZENGBIN ZHANG, XIA ZHOU, WEILE ZHANG, YUANYANG ZHANG GANG WANG, BEN Y. ZHAO, HAITAO ZHENG.
BreadCrumbs: Forecasting Mobile Connectivity Presented by Hao He Slides adapted from Dhruv Kshatriya Anthony J. Nicholson and Brian D. Noble.
Indoor Localization Carick Wienke Advisor: Dr. Nicholas Kirsch University of New Hampshire ECE 791H Using a Modern Smartphone.
Sensor Positioning in Wireless Ad-hoc Sensor Networks Using Multidimensional Scaling Xiang Ji and Hongyuan Zha Dept. of Computer Science and Engineering,
Krishna Chintalapudi Anand Padmanabha Iyer Venkata N. Padmanabhan ——presented by Xu Jia-xing.
Doc.: IEEE /0493r1 Submission May 2010 Changsoon Choi, IHP microelectronicsSlide 1 Beamforming training for IEEE ad Date: Authors:
Precise Indoor Localization using PHY Layer Information Aditya Dhakal.
Architectures and Applications for Wireless Sensor Networks ( ) Localization Chaiporn Jaikaeo Department of Computer Engineering.
A novel approach of gateway selection and placement in cellular Wi-Fi system Presented By Rajesh Prasad.
The Collocation of Measurement Points in Large Open Indoor Environment Kaikai Sheng, Zhicheng Gu, Xueyu Mao Xiaohua Tian, Weijie Wu, Xiaoying Gan Department.
A Statistical Approach to Speed Up Ranking/Re-Ranking Hong-Ming Chen Advisor: Professor Shih-Fu Chang.
Network Cooperation for Client-AP Association Optimization Akash Baid, Ivan Seskar, Dipankar Raychaudhuri WINLAB, Rutgers University.
Location Estimation in Ad-Hoc Networks with Directional Antennas N. Malhotra M. Krasniewski C. Yang S. Bagchi W. Chappell 5th IEEE International Conference.
Accuracy Characterization for Metropolitan-scale Wi-Fi Localization Yu-Chung Cheng (UCSD, Intel Research) Yatin Chawathe (Intel Research) Anthony LaMarca.
An Energy-Efficient Voting-Based Clustering Algorithm for Sensor Networks Min Qin and Roger Zimmermann Computer Science Department, Integrated Media Systems.
Doc.: IEEE /0553r1 Submission May 2009 Alexander Maltsev, Intel Corp.Slide 1 Path Loss Model Development for TGad Channel Models Date:
RADAR: an In-building RF-based user location and tracking system
Ad Hoc Positioning System (APS) Using AOA Dragos¸ Niculescu and Badri Nath INFOCOM ’03 1 Seoyeon Kang September 23, 2008.
Phone-Radar : Infrastructure-free Device-to-deveice Localization 班級:碩研資工一甲 姓名:高逸軒 學號: MA4G0110 Author:Zheng Song, STATE KEY LAB. OF NETWORKING & SWITCHING.
Doc.: IEEE /0493r0 Submission May 2010 Changsoon Choi, IHP microelectronicsSlide 1 Beamforming training for IEEE ad Date: Authors:
University “Ss. Cyril and Methodus” SKOPJE Cluster-based MDS Algorithm for Nodes Localization in Wireless Sensor Networks Ass. Biljana Stojkoska.
© 2007 Sean A. Williams 1 Ecolocation: A Sequence Based Technique for RF Localization in Wireless Sensor Networks Authors: Kiran Yedavalli, Bhaskar Krishnamachari,
Accurate Indoor Localization With Zero Start-up Cost
Outline Location sensing techniques Location systems properties Existing systems overview WiFi localization techniques WPI precision personnel locator.
I Am the Antenna Accurate Outdoor AP Location Using Smartphones Zengbin Zhang†, Xia Zhou†, Weile Zhang†§, Yuanyang Zhang†, Gang Wang†, Ben Y. Zhao† and.
On the Placement of Web Server Replicas Yu Cai. Paper On the Placement of Web Server Replicas Lili Qiu, Venkata N. Padmanabhan, Geoffrey M. Voelker Infocom.
Example Apply hierarchical clustering with d min to below data where c=3. Nearest neighbor clustering d min d max will form elongated clusters!
Optimal Relay Placement for Indoor Sensor Networks Cuiyao Xue †, Yanmin Zhu †, Lei Ni †, Minglu Li †, Bo Li ‡ † Shanghai Jiao Tong University ‡ HK University.
ArrayTrack : A Fine-Grained Indoor Location System Jie Xiong, Kyle Jamieson USENIX NSDI ‘ Jungmin Yoo *some slides.
Statistics 350 Lecture 2. Today Last Day: Section Today: Section 1.6 Homework #1: Chapter 1 Problems (page 33-38): 2, 5, 6, 7, 22, 26, 33, 34,
Avoiding Multipath to Revive Inbuilding WiFi Localization
ParkNet: Drive-by Sensing of Road-Side Parking Statistics Irfan Ullah Department of Information and Communication Engineering Myongji university, Yongin,
LEMON: An RSS-Based Indoor Localization Technique Israat T. Haque, Ioanis Nikolaidis, and Pawel Gburzynski Computing Science, University of Alberta, Canada.
Teng Wei and Xinyu Zhang
MobiCom’13 Jie Xiong and Kyle Jamieson University College London
RF-based positioning.
Teng Wei and Xinyu Zhang
Presented by Prashant Duhoon
6.4 Global Positioning of Nodes
AirPlace Indoor Positioning Platform for Android Smartphones
Access Point Localization using Local Signal Strength Gradient
Wireless Mesh Networks
Wireless Sensor Networks and Internet of Things
RFID Object Localization
RADAR: An In-Building RF-based User Location and Tracking System
IPSN19 杨景
Presentation transcript:

April 20, 2008Emmett Nicholas ECE Drive-by Localization of Roadside WiFi Networks Anand Prabhu Subramanian, Pralhad Deshpande, Jie Gao, Samir R. Das Accepted in INFOCOM 2008, Phoenix, Arizona, April 2008

April 20, 2008Emmett Nicholas ECE Motivation Learn about the nature of WiFi networks –Density, connectivity, interference properties –LOCATION of the APs –Provide datasets for research on Internet topology Localization of infrastructure nodes (APs)

April 20, 2008Emmett Nicholas ECE Existing Technologies GPS –Not available on most wireless clients today RADAR –Uses WIFI fingerprints for indoor localization VORBA –Rotating directional antennas are used in APs –Signal strength and angle of arrival (AoA) used to localize clients indoors War-driving databases –Locations where APs are heard with a sniffer MobiSteer –Steerable beam directional antenna with a WiFi client mounted on a moving car

April 20, 2008Emmett Nicholas ECE Drive-by Localization (DriveByLoc) Use MobiSteer –Gather frames from roadside APs on different directional beams –Estimate the AoA of the frames –Many samples are collected from different locations Passive approach –Based on “sniffing” –APs are unaware of localization effort

April 20, 2008Emmett Nicholas ECE Hardware/Software Setup Multi-beam 2.4 GHz antenna –1 omnidirectional beam –16 directional beams 45⁰ half-power beam-width Rotated 22.5⁰ with respect to adjacent beam –Electronically steerable GPS receiver Each received frame is logged with the tuple:

April 20, 2008Emmett Nicholas ECE Experimental Scenarios Parking lot (2 APs) Apartment complex (17 APs) Office building (2 APs)

April 20, 2008Emmett Nicholas ECE Data Collection Ideally, measurements for each AP are taken on all beams at many points –Beam with highest SNR is pointing towards AP Complications… –Each channel/beam combination takes ≈ 100ms –Determining orientation –Non-zero beamwidth –Reflections

April 20, 2008Emmett Nicholas ECE Localization Algorithm Estimate AoA of frames from a given AP at each measurement point –Average SNR for frames on each directional beam Beam with strongest average SNR is expected to point directly to AP –Orientation information & strongest beam used to position AP –Sum-square of angular error from all strongest beam directions is minimized

April 20, 2008Emmett Nicholas ECE Non-zero Beamwidth

April 20, 2008Emmett Nicholas ECE Reflections

April 20, 2008Emmett Nicholas ECE Understanding Reflections Parking lotOffice building

April 20, 2008Emmett Nicholas ECE Understanding Reflections Parking lotOffice building Interesting observation: CLUSTERING

April 20, 2008Emmett Nicholas ECE Understanding Reflections Parking lotOffice building New approach… 1.Use the k-means algorithm to group the measurement points into k clusters 2.Determine which one these k images is the real AP

April 20, 2008Emmett Nicholas ECE Modeling Reflections by k-Means Clustering For any given value of k, assume L 1,…,L k are the k locations of the AP (real and the images) –L i ’s are chosen randomly within “feasible region” –Each measurement mapped to some L i that provides minimum angular error

April 20, 2008Emmett Nicholas ECE Modeling Reflections by k-Means Clustering 1.Compute a point for each cluster, Ci, in the feasible region that minimizes intra-cluster sum-square of angular errors 2.C i ’s become new L i ’s 3.Go to Step 1.

April 20, 2008Emmett Nicholas ECE Choosing Real AP Location from k Images Impossible to know for sure But a certain heuristic helps: –Each measurement ranks k images based on distance to itself –“The nearest image is ranked 1 st and the next is ranked 2 nd and so on.” –Choose image with least sum of ranks

April 20, 2008Emmett Nicholas ECE Learning k for Clustering Use the idea from the G-means algorithm Start with k=1, and successively increment k –Perform k-means clustering for each k –Check whether error values in each cluster satisfy statistical test for normality If YES, stop. If NO, increment k and repeat.

April 20, 2008Emmett Nicholas ECE Performance Evaluation

April 20, 2008Emmett Nicholas ECE Benefit of Using Directional Antennas and AOA “DrivebyLoc is about an order of magnitude better than trilateration”

April 20, 2008Emmett Nicholas ECE Benefit of Modeling Reflection Using Clustering “Overall it should be recommended that DrivebyLoc be used with modeling beamwidth”

April 20, 2008Emmett Nicholas ECE Impact of GPS Accuracy

April 20, 2008Emmett Nicholas ECE Impact of Car Speed

April 20, 2008Emmett Nicholas ECE Conclusions Contributions –Completely passive –Realization that signal reflections can cause significant localization errors Development of clustering method to solve this problem Enables accurate WiFi map of urban APs with minimum effort What about 3D?

April 20, 2008Emmett Nicholas ECE Thank You