Login | Signup now       

Guest

 Click to see how  

HOME | VIDEOS | DOCUMENTS | COLLECTIONS | UPLOAD | BROADCAST | MY ACCOUNT | FEEDBACK | ABOUT

 

Share  Title: A Machine Learning approach to localization in Wireless Sen...

 

 
Abstract

 Download Papers  Read full document

 
 
 
iConnect (Beta)   |   Sponsor  |   Comment   |    Report    Like    
 
 

Many sensor network related applications require precise knowledge of the location of constituent nodes. In these applications,it is desirable for the wireless nodes to be able to autonomously determine their locations before they start sensing and transmitting data. Most existing localization algorithms rely on anchor nodes whose locations are known to determine the positions of the remaining nodes using methods such as triangulation or trilateration. In this work, we consider the scenario where anchor nodes are not equipped with any self-positioning functionality, and do not have the knowledge about their positions. In such cases, anchor nodes respond to a "HELLO" signal transmitted by the localizing node. The response to "HELLO" signal can be used by the localizing node to estimate the time of arrival (ToA) or Received Signal Strength Indicator (RSSI). We use such ToA or RSSI measurements to learn node locations using Support Vector Machines (SVM). We cast the problem into a regression and a multiclass classification setting, and demonstrate the high localization accuracy achieve by this approach as compared with the traditional Least Squares based solution. We also demonstrate that strategically choosing the evaluation order of the classifiers in a binary tree structure can reduce the computational complexity of testing phase by a logarithmic factor.

 
 
Download Papers  Read full document
 
 
 
Most Viewed This Month
Supersonic Nozzle design by Method of Characteristics
A report discussing critical factors affecting Project performance
JPEG Progressive mode vs Sequential mode
Rayleigh criteria and Combustion Instability
Business Plan for Online Money Transfer
Adaptive Equalization Techniques using Least Mean Square (LMS) algorithm
Girlkultur Mass Culture in Weimar Germany
Adaptive Equalization Techniques using Recursive Least Square (RLS) algorithm
Combustion Instability in Liquid Rocket Engines
A Technical Essay on the Gyroplane
Laminar Separation Bubble
Experimental Study of Compressible Pipe Flow with Friction and Heat Addition
The Role of Density Gradient in Liquid Rocket Engine Combustion Instability
NOTAR Helicopter
Blind De-convolution of BPSK and QPSK modulated signal using Constant Modulus Algorithm (CMA).
 
Related Documents
A Machine Learning approach to localization in Wireless Sensor Networks
Complex Classification Using Advanced Machine Learning Techniques
Gender Classification Using Support Vector Machines (SVMs)
Hydrogen sensors based on titania nano-tubes
Blind De-convolution of BPSK and QPSK modulated signal using Constant Modulus Algorithm (CMA).
Adaptive Equalization Techniques using Recursive Least Square (RLS) algorithm
A Technical Essay on the Gyroplane
Fiber-Optic based Dynamic Pressure sensor for Combustion
Integrated Approach to Value Management and Sustainable Construction in Indian Construction Industry
Evaluation of Feature Recombination Techniques for Speaker Identification
Evaluation of phase and magnitude based features for speaker identification
Evaluation of Phase & Magnitude based Features for Speaker Identification
Value Management
Hints for understanding low speed wind tunnels
Primitivism in Paul Gauguin's Where Do We Come From? What Are We? Where Are We Going? (1898)
 
Member Documents
Adaptive Equalization Techniques using Least Mean Square (LMS) algorithm
Adaptive Equalization Techniques using Recursive Least Square (RLS) algorithm
Blind De-convolution of BPSK and QPSK modulated signal using Constant Modulus Algorithm (CMA).
Digital Image Processing
JPEG Progressive mode vs Sequential mode
Evaluation of Phase & Magnitude based Features for Speaker Identification
A Comparative Study of Different Face Recognition Algorithms
Gender Classification Using Support Vector Machines (SVMs)
Evaluation of phase and magnitude based features for speaker identification
Evaluation of Feature Recombination Techniques for Speaker Identification
A Machine Learning approach to localization in Wireless Sensor Networks
Complex Classification Using Advanced Machine Learning Techniques
 

Keywords

Localization,  Support  Vector  Machines  (SVM),  Wireless  
Sensor  Networks,  Machine  Learning  
 
 
 About This Document
 
 Subject Computer Science
 Category Term Paper
 Views 1795
 Downloads 273
 Added 19-01-12
 Contributor   ravigarg
 Add to Favourites
 Report Abuse
 
 Related Videos
 See More

 RunTime  00:05:30
 Uploaded  28-12-07
 Views  3265
   
 First Time Machine

 RunTime  00:00:02
 Uploaded  22-11-07
 Views  3426
   
 Kettering University - Me...

 RunTime  moderate
 Uploaded  24-07-11
 Views  1887
   
 Why Some Women Share Lots...

 RunTime  00:03:00
 Uploaded  09-04-09
 Views  4333
   
 Welcome to the Language H...

 RunTime  moderate
 Uploaded  27-07-15
 Views  1068
   
 Ayah Bdeir and LittleBits...

 RunTime  00:01:26
 Uploaded  12-02-09
 Views  3555
   
  Inverted pendulum contro...

 RunTime  00:01:31
 Uploaded  26-12-07
 Views  3872
   
 FASTCAM SA1 : DigInfo

 RunTime  00:01:23
 Uploaded  27-11-07
 Views  4901
   
 The Miracle in Human Brai...

 RunTime  moderate
 Uploaded  15-09-10
 Views  4413
   
 NASA and Caltech Test Ste...

 RunTime  00:04:14
 Uploaded  14-12-07
 Views  3173
   
 Making an LTD Stirling En...

 RunTime  00:01:46
 Uploaded  15-02-08
 Views  18730
   
 How to upload video on re...

 RunTime  00:05:52
 Uploaded  12-02-09
 Views  3530
   
 MathCad Demo

 RunTime  00:06:05
 Uploaded  08-01-08
 Views  3447
   
 Deployment of ANDE Satell...

 RunTime  00:09:58
 Uploaded  30-04-08
 Views  3635
   
 The Elegant Universe : Ca...

 RunTime  moderate
 Uploaded  15-02-15
 Views  1288
   
 Superhydrophobic Surface ...

 RunTime  00:00:02
 Uploaded  21-10-07
 Views  5135
   
 Harvard Biovisions - The ...

 RunTime  00:00:02
 Uploaded  22-10-07
 Views  3931
   
 CEV NASA space launch roc...

 RunTime  00:05:45
 Uploaded  26-12-07
 Views  3275
   
 SEM Stage U2B

 

 

Comments | Queries | Clarifications