GPS-less Localization Protocol for Underwater Acoustic Networks Othman, A.K; Wireless and Optical Communications Networks, 2008. WOCN '08. 5th IFIP International.

Slides:



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

Mobility Increase the Capacity of Ad-hoc Wireless Network Matthias Gossglauser / David Tse Infocom 2001.
CCNA3: Switching Basics and Intermediate Routing v3.0 CISCO NETWORKING ACADEMY PROGRAM Switching Concepts Introduction to Ethernet/802.3 LANs Introduction.
SELF-ORGANIZING MEDIA ACCESS MECHANISM OF A WIRELESS SENSOR NETWORK AHM QUAMRUZZAMAN.
Minimum Energy Mobile Wireless Networks IEEE JSAC 2001/10/18.
Tufts Wireless Laboratory Tufts University School Of Engineering Energy-Efficient Structuralized Clustering for Sensor-based Cyber Physical Systems Jierui.
Energy–efficient Reliable Broadcast in Underwater Acoustic Networks Paolo Casari and Albert F Harris III University of Padova, Italy University of Illinois.
A Novel Cluster-based Routing Protocol with Extending Lifetime for Wireless Sensor Networks Slides by Alex Papadimitriou.
Luca De Nardis Ranging and positioning in UWB ad- hoc networks Problem definition.
1 Fall 2005 Extending LANs Qutaibah Malluhi CSE Department Qatar University Repeaters, Hubs, Bridges, Fiber Modems, and Switches.
Deployment of Surface Gateways for Underwater Wireless Sensor Networks Saleh Ibrahim Advising Committee Prof. Reda Ammar Prof. Jun-Hong Cui Prof. Sanguthevar.
CS541 Advanced Networking 1 Dynamic Channel Assignment and Routing in Multi-Radio Wireless Mesh Networks Neil Tang 3/10/2009.
On the Construction of Energy- Efficient Broadcast Tree with Hitch-hiking in Wireless Networks Source: 2004 International Performance Computing and Communications.
Summary The Problem The Dijkstra’s Shortest Path Algorithm
TPS: A Time-Based Positioning Scheme for outdoor Wireless Sensor Networks Authors: Xiuzhen Cheng, Andrew Thaeler, Guoliang Xue, Dechang Chen From IEEE.
Mobile and Wireless Computing Institute for Computer Science, University of Freiburg Western Australian Interactive Virtual Environments Centre (IVEC)
Real-time Video Streaming from Mobile Underwater Sensors 1 Seongwon Han (UCLA) Roy Chen (UCLA) Youngtae Noh (Cisco Systems Inc.) Mario Gerla (UCLA)
1 Wireless and Mobile Networks EECS 489 Computer Networks Z. Morley Mao Monday March 12, 2007 Acknowledgement:
Ad Hoc Wireless Routing COS 461: Computer Networks
CRANE Project Wireless Networking Demonstration. a)Single-hop transmission b)Multi-hop transmission with a mobile relay node.
Timing-sync Protocol for Sensor Networks (TPSN) Presenter: Ke Gao Instructor: Yingshu Li.
A Highly Adaptive Distributed Routing Algorithm for Mobile Wireless Networks Research Paper By V. D. Park and M. S. Corson.
International Technology Alliance In Network & Information Sciences International Technology Alliance In Network & Information Sciences 1 Cooperative Wireless.
CuMPE : CLUSTER-MANAGEMENT AND POWER EFFICIENT PROTOCOL FOR WIRELESS SENSOR NETWORKS ITRE’05 Information Technology: Research and Education Shen Ben Ho.
MobiQuitous 2004Kimaya Sanzgiri Leveraging Mobility to Improve Quality of Service in Mobile Networks Kimaya Sanzgiri and Elizabeth Belding-Royer Department.
FiWi Integrated Fiber-Wireless Access Networks
Introduction to Sensor Networks Rabie A. Ramadan, PhD Cairo University 3.
A Multi-Channel MAC Protocol for Wireless Sensor Networks Chen xun, Han peng, He qiu-sheng, Tu shi-liang, Chen zhang-long The Sixth IEEE International.
Localization in Wireless Sensor Networks Shafagh Alikhani ELG 7178 Fall 2008.
College of Engineering Non-uniform Grid- based Coordinated Routing Priyanka Kadiyala Major Advisor: Dr. Robert Akl Department of Computer Science and Engineering.
TOPOLOGY DISCOVERY IN SENSOR NETWORKS Budhaditya Deb, Sudeept Bhatnagar Badri Nath Department of Computer Science, Rutgers University, May 2001.
Message-Passing for Wireless Scheduling: an Experimental Study Paolo Giaccone (Politecnico di Torino) Devavrat Shah (MIT) ICCCN 2010 – Zurich August 2.
Computer Networks Performance Metrics. Performance Metrics Outline Generic Performance Metrics Network performance Measures Components of Hop and End-to-End.
Maximum Network Lifetime in Wireless Sensor Networks with Adjustable Sensing Ranges Cardei, M.; Jie Wu; Mingming Lu; Pervaiz, M.O.; Wireless And Mobile.
VAPR: Void Aware Pressure Routing for Underwater Sensor Networks
CSCI 465 D ata Communications and Networks Lecture 14 Martin van Bommel CSCI 465 Data Communications & Networks 1.
Load-Balancing Routing in Multichannel Hybrid Wireless Networks With Single Network Interface So, J.; Vaidya, N. H.; Vehicular Technology, IEEE Transactions.
Hop State Prediction Method using Distance Differential of RSSI on VANET 指導教授:許子衡 教授 學 生:董藝興 學生 1.
Collision-free Time Slot Reuse in Multi-hop Wireless Sensor Networks
A Distributed Relay-Assignment Algorithm for Cooperative Communications in Wireless Networks ICC 2006 Ahmed K. Sadek, Zhu Han, and K. J. Ray Liu Department.
RADAR: an In-building RF-based user location and tracking system
Differential Ad Hoc Positioning Systems Presented By: Ramesh Tumati Feb 18, 2004.
KAIS T High-throughput multicast routing metrics in wireless mesh networks Sabyasachi Roy, Dimitrios Koutsonikolas, Saumitra Das, and Y. Charlie Hu ICDCS.
2017/4/25 INDOOR LOCALIZATION SYSTEM USING RSSI MEASUREMENT OF WIRELESS SENSOR NETWORK BASED ON ZIGBEE STANDARD Authors:Masashi Sugano, Tomonori Kawazoe,
STUMP: Exploiting Position Diversity in the Staggered TDMA Underwater MAC Protocol Kurtis Kredo II, Petar Djukic, Prasant Mohapatra IEEE INFOCOM 2009.
Chih-Min Chao and Yao-Zong Wang Department of Computer Science and Engineering National Taiwan Ocean University, Taiwan IEEE WCNC 2010 A Multiple Rendezvous.
1 Mitigate the Bottleneck of Underwater Acoustic Sensor Networks via Priority Scheduling Junjie Xiong, Michael R. Lyu, Kam-Wing Ng.
1 ICC 2013, 9-13 June, Budapest, Hungary Localization packet scheduling for an underwater acoustic sensor network By Hamid Ramezani & Geert Leus.
Sanjay K. Dhurandher, Mohammad S. Obaidat, Fellow of IEEE and Fellow of SCS, Siddharth Goel and Abhishek Gupta CAITFS, Division of Information Technology,
Copyright © 2007 OPNET Technologies, Inc. CONFIDENTIAL - RESTRICTED ACCESS: This information may not be disclosed, copied, or transmitted in any format.
Intro DSR AODV OLSR TRBPF Comp Concl 4/12/03 Jon KolstadAndreas Lundin CS Ad-Hoc Routing in Wireless Mobile Networks DSR AODV OLSR TBRPF.
a/b/g Networks Routing Herbert Rubens Slides taken from UIUC Wireless Networking Group.
1 Ch 11 Extending LANs Fiber modems, Repeaters, Bridges, and Switches.
Data Gathering in Wireless Sensor Networks with Mobile Collectors Ming Ma and Yuanyuan Yang State University of New York, Stony Brook 1 IEEE Parallel and.
Video Streaming Transmission Over Multi-channel Multi-path Wireless Mesh Networks Speaker : 吳靖緯 MA0G WiCOM '08. 4th International.
UNIT IV INFRASTRUCTURE ESTABLISHMENT. INTRODUCTION When a sensor network is first activated, various tasks must be performed to establish the necessary.
Remote Deployment of Sensor Networks Presentation 3: Providing connectivity between sensor nodes and uplinks.
Fair and Efficient multihop Scheduling Algorithm for IEEE BWA Systems Daehyon Kim and Aura Ganz International Conference on Broadband Networks 2005.
DETECTION AND IGNORING BLACK HOLE ATTACK IN VANET NETWORKS BASED LATENCY TIME CH. BENSAID S.BOUKLI HACENE M.K.FAROUAN 1.
Peter Pham and Sylvie Perreau, IEEE 2002 Mobile and Wireless Communications Network Multi-Path Routing Protocol with Load Balancing Policy in Mobile Ad.
Deploying Sensors for Maximum Coverage in Sensor Network Ruay-Shiung Chang Shuo-Hung Wang National Dong Hwa University IEEE International Wireless Communications.
KAIS T Location-Aided Flooding: An Energy-Efficient Data Dissemination Protocol for Wireless Sensor Networks Harshavardhan Sabbineni and Krishnendu Chakrabarty.
Author:Zarei.M.;Faez.K. ;Nya.J.M.
2010 IEEE Global Telecommunications Conference (GLOBECOM 2010)
THE NETWORK LAYER.
任課教授:陳朝鈞 教授 學生:王志嘉、馬敏修
by Saltanat Mashirova & Afshin Mahini
Protocols.
Vinay Singh Graduate school of Software Dongseo University
Protocols.
Presentation transcript:

GPS-less Localization Protocol for Underwater Acoustic Networks Othman, A.K; Wireless and Optical Communications Networks, WOCN '08. 5th IFIP International Conference on Wireless and Optical Communications Networks, WOCN '08. 5th IFIP International Conference on Slides by Alex Papadimitriou

GPS-less Localization Protocol for Underwater Acoustic Networks Limitations:  Propagation Delays are very long with limited bandwidth.  Incapability of modems to transmit and receive signals at the same time.  Scheduled transmission is required.  Connectivity depends upon factors such as relative node orientation, noise level, propagation losses, fading, relative movement of nodes, node and link failures, addition of new nodes. Measurement Type: Ranging  Timing, Signal Strength Deployment Techniques:  Anchor-based: Fraction of nodes somehow know their position.  Anchor-free: Uses local distance information.

GPS-less Localization Protocol for Underwater Acoustic Networks Discovery and localization protocol can be divided into two parts:  Stage 1: Building up the relative co-ordinate system using the information gained from the first three seed node discoveries.  Stage 2: Further node discovery by selected seed nodes.

GPS-less Localization Protocol for Underwater Acoustic Networks S1 is the first seed node. It broadcasts DISC_COMM packet and awaits for replies. S1 discovers IDs and distances of neighbors but not locations. Set a second seed node for further discovery. Propose that it is the furthest node from S1, so that a larger area can be covered quicker. A1 is the information set of a discovery sequence, containing the distance measurements and IDs of those nodes replied. S1 broadcasts A1 and MORE_DISC to its neighbors. If a node in the S1 region receives this command and the ID is equal to its own, then it recognizes that it is the next seed, S2 and it proceeds in the same manner. And so on… In the end, using triangulation each node finds its relative position to the initial seed.

GPS-less Localization Protocol for Underwater Acoustic Networks Algorithms for selecting further seed nodes. The Farthest/Farthest algorithm uses the farthest undefined node from a previous seed node, and the node with the maximum summation distance from this node and the previous seed node. Each remote node in the seed nodes region of the first stage of discovery will independently compute the relative location of all other nodes.

GPS-less Localization Protocol for Underwater Acoustic Networks Farthest/Nearest Algorithm A different approach can be taken in order to gain the relative coordinates of nodes. The Farthest/Nearest algorithm uses the farthest undefined node from a previous seed node and the node with minimum summation distance from this node and the previous seed node. Nearest/Farthest Algorithm Alternatively, the Nearest/Farthest algorithm can use the nearest undefined node from a previous seed node and the node with maximum summation distance from this node and the previous seed node. Nearest/Nearest Algorithm The Nearest/Nearest algorithm uses the nearest undefined node from a previous seed node and the node with minimum summation distance from this node and the previous seed node.