“Localization in Underwater Sensor Networks” Presented by: Ola Ibrahim EL naggar 788.11J presentation.

Slides:



Advertisements
Similar presentations
Underwater Sensor Network Presented By: Sabbir Ahmed Khan
Advertisements

Dynamic Location Discovery in Ad-Hoc Networks
Computer Science Dr. Peng NingCSC 774 Adv. Net. Security1 CSC 774 Advanced Network Security Topic 7.3 Secure and Resilient Location Discovery in Wireless.
Computer Networks Group Universität Paderborn Ad hoc and Sensor Networks Chapter 9: Localization & positioning Holger Karl.
Range-Free Sensor Localization Simulations with ROCRSSI-based Algorithm Matt Magpayo
Range-Based and Range-Free Localization Schemes for Sensor Networks
Shashika Biyanwila Research Engineer
RADAR: An In-Building RF-based User Location and Tracking System Paramvir Bahl and Venkata N. Padmanabhan Microsoft Research.
Murat Demirbas SUNY Buffalo
1 University of Freiburg Computer Networks and Telematics Prof. Christian Schindelhauer Wireless Sensor Networks 16th Lecture Christian Schindelhauer.
GPS-free Positioning in Ad-Hoc Networks Yu-Min Tseng.
Introduction to Sensor Networks Rabie A. Ramadan, PhD Cairo University 3.
1 University of Freiburg Computer Networks and Telematics Prof. Christian Schindelhauer Wireless Sensor Networks 17th Lecture Christian Schindelhauer.
Range-free Localization Schemes for Large Scale Sensor Networks
TPS: A Time-Based Positioning Scheme for outdoor Wireless Sensor Networks Authors: Xiuzhen Cheng, Andrew Thaeler, Guoliang Xue, Dechang Chen From IEEE.
Ad-Hoc Localization Using Ranging and Sectoring Krishna Kant Chintalapudi, Amit Dhariwal, Ramesh Govindan, Gaurav Sukhatme Computer Science Department,
Probability Grid: A Location Estimation Scheme for Wireless Sensor Networks Presented by cychen Date : 3/7 In Secon (Sensor and Ad Hoc Communications and.
Jana van Greunen - 228a1 Analysis of Localization Algorithms for Sensor Networks Jana van Greunen.
Localization in Wireless Sensor Networks
Patrick Lazar, Tausif Shaikh, Johanna Thomas, Kaleel Mahmood
ENERGY EFFICIENT INDOOR LOCALIZATION IN WIRELESS SENSOR NETWORKS
A Distributed Localization Scheme for Wireless Sensor Networks with Improved Grid-Scan and Vector- Based Refinement Jang-Ping Sheu, Pei-Chun Chen, and.
Localization in Sensor Networking John Quintero. Applications Application-driven, data-centric sensor networks frequently require location information.
Time of arrival(TOA) Prepared By Sushmita Pal Roll No Dept.-CSE,4 th year.
Sensor Positioning in Wireless Ad-hoc Sensor Networks Using Multidimensional Scaling Xiang Ji and Hongyuan Zha Dept. of Computer Science and Engineering,
LOCALIZATION in Sensor Networking Hamid Karimi. Wireless sensor networks Wireless sensor node  power supply  sensors  embedded processor  wireless.
Introduction to Sensor Networks Rabie A. Ramadan, PhD Cairo University 3.
Localization With Mobile Anchor Points in Wireless Sensor Networks
Localization in Wireless Sensor Networks Shafagh Alikhani ELG 7178 Fall 2008.
Phero-Trail: A Bio-Inspired Location Service for Mobile Underwater Sensor Networks Luiz Filipe M. Vieira †, Uichin Lee ‡ and Mario Gerla * † Department.
Tracking with Unreliable Node Sequences Ziguo Zhong, Ting Zhu, Dan Wang and Tian He Computer Science and Engineering, University of Minnesota Infocom 2009.
Architectures and Applications for Wireless Sensor Networks ( ) Localization Chaiporn Jaikaeo Department of Computer Engineering.
Localization using DOT3 Wireless Sensors Design & Implementation Motivation Wireless sensors can be used for locating objects: − Previous works used GPS,
The Collocation of Measurement Points in Large Open Indoor Environment Kaikai Sheng, Zhicheng Gu, Xueyu Mao Xiaohua Tian, Weijie Wu, Xiaoying Gan Department.
Dynamic Fine-Grained Localization in Ad-Hoc Networks of Sensors Weikuan Yu Dept. of Computer and Info. Sci. The Ohio State University.
Cellular positioning. What is cellular positioning? Determining the position of a Mobile Station (MS), using location sensitive parameters.
September 16,2003 MobiCom'03 University of Virginia 1 Range-Free Localization Schemes in Large Scale Sensor Networks Tian He Chengdu Huang Brian.
Localization and Secure Localization. The Problem The determination of the geographical locations of sensor nodes Why do we need Localization? –Manual.
A new Ad Hoc Positioning System 컴퓨터 공학과 오영준.
A New Hybrid Wireless Sensor Network Localization System Ahmed A. Ahmed, Hongchi Shi, and Yi Shang Department of Computer Science University of Missouri-Columbia.
College of Engineering Anchor Nodes Placement for Effective Passive Localization Karthikeyan Pasupathy Major Advisor: Dr. Robert Akl Department of Computer.
RADAR: an In-building RF-based user location and tracking system
Junfeng Xu, Keqiu Li, and Geyong Min IEEE Globecom 2010 Speak: Huei-Rung, Tsai Layered Multi-path Power Control in Underwater Sensor Networks.
11/25/2015 Wireless Sensor Networks COE 499 Localization Tarek Sheltami KFUPM CCSE COE 1.
Localization and Secure Localization. Learning Objectives Understand why WSNs need localization protocols Understand localization protocols in WSNs Understand.
G. Giorgetti, ACM MSWiM 2008 – Vancouver - October 28, $ 70 $ 115 $ 185 $ Optimal RSS Threshold in Connectivity-Based Localization Schemes Gianni.
September 16,2003 MobiCom'03 University of Virginia 1 Range-Free Localization Schemes in Large Scale Sensor Networks Tian He Chengdu Huang Brian.
Positioning in Ad-Hoc Networks - A Problem Statement Jan Beutel Computer Engineering and Networks Lab Swiss Federal Institute of Technology (ETH) Zurich.
University “Ss. Cyril and Methodus” SKOPJE Cluster-based MDS Algorithm for Nodes Localization in Wireless Sensor Networks Ass. Biljana Stojkoska.
AEDG:AUV aided Efficient Data Gathering Routing Protocol for UWSNs Prepared by: Mr. Naveed Ilyas CIIT, Islamabad, Pakistan 1.
Performance of Adaptive Beam Nulling in Multihop Ad Hoc Networks Under Jamming Suman Bhunia, Vahid Behzadan, Paulo Alexandre Regis, Shamik Sengupta.
1/24 Experimental Analysis of Area Localization Scheme for Sensor Networks Vijay Chandrasekhar 1, Zhi Ang Eu 1, Winston K.G. Seah 1,2 and Arumugam Pillai.
© 2007 Sean A. Williams 1 Ecolocation: A Sequence Based Technique for RF Localization in Wireless Sensor Networks Authors: Kiran Yedavalli, Bhaskar Krishnamachari,
C. Savarese, J. Beutel, J. Rabaey; UC BerkeleyICASSP Locationing in Distributed Ad-hoc Wireless Sensor Networks Chris Savarese, Jan Beutel, Jan Rabaey.
An Efficient Localization Algorithm Focusing on Stop-and-Go Behavior of Mobile Nodes IEEE PerCom 2011 Takamasa Higuchi, Sae Fujii, Hirozumi Yamaguchi and.
Computer Science 1 Using Clustering Information for Sensor Network Localization Haowen Chan, Mark Luk, and Adrian Perrig Carnegie Mellon University
Overview of Wireless Networks: Cellular Mobile Ad hoc Sensor.
On Mobile Sink Node for Target Tracking in Wireless Sensor Networks Thanh Hai Trinh and Hee Yong Youn Pervasive Computing and Communications Workshops(PerComW'07)
TECHNOLOGIES FOR WIRELESS GEOLOCATION
RF-based positioning.
Dynamic Fine-Grained Localization in Ad-Hoc Networks of Sensors
6.4 Global Positioning of Nodes
Localization in WSN Localization in WSN.
Fast Localization for Emergency Monitoring and Rescue in Disaster Scenarios Based on WSN SPEAKER:Jyun-Ying Yu ADVISOR:DR. Kai-Wei Ke DATE:2018/05/04.
Wireless Sensor Networks: nodes localization issue
Wireless Mesh Networks
Wireless Sensor Networks and Internet of Things
A schematic overview of localization in wireless sensor networks
Edinburgh Napier University
Presentation transcript:

“Localization in Underwater Sensor Networks” Presented by: Ola Ibrahim EL naggar J presentation

introduction Deployment of low cost wireless sensors is proving to be a promising technique for several applications. Challenge in large scale wireless networks: 1- the limited processing capability 2- power constraints on each sensor.

Underwater Environmental Observation For Scientific Exploration Oil Drilling Commercial Exploitation Coastline Protection Military Applications 1. Underwater application

1- vessels are generally huge and are anchored to the seabed with multiple anchors. 2- smart sensors can monitor environmental and system parameter can be deployed on the seabed. 3- work with Remotely Operated Vehicles (ROV). 4- controlled from - ship -Autonomous Underwater Vehicles (AUV) 1.1 Oil Drilling

5- The sensors, anchors and ROVs/AUVs collect information from the seabed and feed the data to the vessel. 6- sensors and anchor can measure parameters like foundation strength and mooring tensions, and ideally provide accurate position references to the AUVs. 7- They survey the deep sea environment e “The location of the sensors, anchors and the AUVs need”. 1.1 Oil Drilling

1.2 Challenges location of the sensors This problem is especially challenging for deep water applications. Localization underwater is challenging as Radio Frequency (RF) waves are heavily attenuated under water and hence, employing technology like GPS is not feasible.

2. UWSNs Localization Schemes Range-based Schemes Infrastructure- based Distributed Positioning With Mobile Beacons Without Anchors Range-free Schemes Hop-count- based Centroid Area Localization Approximate Point In Triangle Signal Processing Schemes

2.1 Range-based Schemes Estimate distance to other nodes. Time of Arrival (ToA) Time Difference of Arrival (TDoA) Angle of Arrival (AoA) Received Signal Strength Indicator(RSSI).

2.1.1 Infrastructure-based schemes Anchor Nodes on Seabed Pre-determined Locations Surface Buoys as Anchor Nodes GPS-equipped Distance Estimation ToA

2.1.2 Distributed Positioning Schemes Limited Communication Only With One-hop Neighbor Three Phases 1-Distance Estimation Phase 2-Position Estimation Phase System of Linear Equations 3-Refinement Phase

2.1.3 Schemes that use Mobile Beacons/Anchors No Fixed Anchors Mobile Anchors Traverse The Network Send Beacon Packets Location Coordinates of Anchor Node Localization RSSI

2.1.4 Schemes without Anchor/Reference Points No Anchors Central Server Model: Series of Equations Sophisticated Optimization Techniques

2.2 Range-free Schemes 1-Do not use range or bearing information: -No ToA, TDoA, or AoA 2-Coarse Location Estimation

2.2.1 Hopcount based Schemes Distance Vector Exchange Exchange updates with neighbors. Anchor estimates average one-hop distance. Performs Well: Uniform and Dense Node Distribution.

2.2.2 Centroid Scheme Dense Rectangular Mesh of Anchors Anchor Locations in Beacon Signals Location is anchor nodes centroid. Hard to Implement Underwater

2.2.3 Area-based Localization Has two examples: Area Localization Scheme (ALS) Approximate Point In Triangle (APIT)

Area Localization Scheme (ALS)

Approximate Point In Triangle (APIT) Point-In-Triangle Test Only In Air. Approximate Point-In-Triangle Test Use RSSI from three anchors. Try all combinations. Central Server

2.3 Signal Processing/Probabilistic Schemes Relies on signal characteristics. Not Signal Timing Not Signal Strength Signature Database Hard to Generate

Schemes Comparison

Thank you