REMOTE SENSING IN THE ARCTIC REGION

Slides:



Advertisements
Similar presentations
ABSTRACT Due to the Internets sheer size, complexity, and various routing policies, it is difficult if not impossible to locate the causes of large volumes.
Advertisements

Interfacing mixed signal peripherals by protocols of packet type Emil Gueorguiev Saramov Angel Nikolaev Popov Computer Systems Department, Technical University.
Computer Network Topologies
Localization with RSSI Method at Wireless Sensor Networks Osman Ceylan Electronics Engineering PhD Student, Istanbul Technical University, Turkiye
Wireless Sensor Networks Craig Ulmer. Background: Sensor Networks n Array of Sensor Probes ( ) n Collect In-Situ Data about Environment n Wireless.
-Anandatirtha. US water companies are under increasing pressure to improve the management of their ageing assets and optimize operational and capital.
1 Introduction to Wireless Sensor Networks. 2 Learning Objectives Understand the basics of Wireless Sensor Networks (WSNs) –Applications –Constraints.
Mica: A Wireless Platform for Deeply Embedded Networks Jason Hill and David Culler Presented by Arsalan Tavakoli.
More routing protocols Alec Woo June 18 th, 2002.
1 Target Tracking with Sensor Networks Chao Gui Networks Lab. Seminar Oct 3, 2003.
Wireless Thermal Protection Sensors Presented By: Jesse Pentzer and Lucas Wells Brandy Holmes John Sochacki Chris Johnson.
A New Household Security Robot System Based on Wireless Sensor Network Reporter :Wei-Qin Du.
ITIS 6010/8010 Wireless Network Security Dr. Weichao Wang.
1 University of Freiburg Computer Networks and Telematics Prof. Christian Schindelhauer Wireless Sensor Networks 13th Lecture Christian Schindelhauer.
 A system consisting of a number of remote terminal units (or RTUs) collecting field data connected back to a master station via a communications system.
David Rogers, Stu Andrzejewski, Kelly Desmond, Brad Garrod.
Secure Localization Algorithms for Wireless Sensor Networks proposed by A. Boukerche, H. Oliveira, E. Nakamura, and A. Loureiro (2008) Maria Berenice Carrasco.
Security Patterns in Wireless Sensor Networks By Y. Serge Joseph October 8 th, 2009 Part I.
Introduction to Wireless Sensor Networks
Developing a SDR Testbed Alex Dolan Mohammad Khan Ahmet Unsal Project Advisor Dr. Aditya Ramamoorthy.
Lecture 4: Sun: 23/4/1435 Distributed Operating Systems Lecturer/ Kawther Abas CS- 492 : Distributed system & Parallel Processing.
788.11J Presentation “Deploying a Wireless Sensor Network on an Active Volcano” Presented by Ahmed Farouk Ibrahim Gaffer.
4/19/20021 TCPSplitter: A Reconfigurable Hardware Based TCP Flow Monitor David V. Schuehler.
Using Information Technology to Reduce Traffic Jam in a Highly Traffic Congested City Sayed Ahmed and Rasit Eskicioglu We propose a cost effective and.
Hot Interconnects TCP-Splitter: A Reconfigurable Hardware Based TCP/IP Flow Monitor David V. Schuehler
1 RealProct: Reliable Protocol Conformance Testing with Real Nodes for Wireless Sensor Networks Junjie Xiong, Edith C.-Ngai, Yangfan Zhou, Michael R. Lyu.
Syed Hassan Ahmed Syed Hassan Ahmed, Safdar H. Bouk, Nadeem Javaid, and Iwao Sasase RIU Islamabad. IMNIC’12, RIU Islamabad.
November 4, 2003Applied Research Laboratory, Washington University in St. Louis APOC 2003 Wuhan, China Cost Efficient Routing in Ad Hoc Mobile Wireless.
WIRELESS INTEGRATED NETWORK SENSORS
UNIT IV INFRASTRUCTURE ESTABLISHMENT. INTRODUCTION When a sensor network is first activated, various tasks must be performed to establish the necessary.
Project: IEEE P Working Group for Wireless Personal Area Networks (WPANS) Submission Title: [UWB System Design for Low Power, Precision Location.
Introduction to Wireless Sensor Networks
 Introduction.  Block Diagram.  Sensors.  Arduino.  Advantages.  Limitations.  Applications.  Conclusion. Contents.
Single Area OSPF Module 2, Review How routing information is maintained Link-state routers apply the Dijkstra shortest path first algorithm against.
Wireless Sensor Network: A Promising Approach for Distributed Sensing Tasks.
Created by :- prashant more prashant more. INTRODUCTION Bluetooth is wireless high speed data transfer technology over a short range ( meters).
+ Dynamic Routing Protocols 2 nd semester
OSI Model OSI MODEL. Communication Architecture Strategy for connecting host computers and other communicating equipment. Defines necessary elements for.
OSI Model OSI MODEL.
BUILDING AND IMPLEMENT A EMBEDDED WEB SERVER BASE ON TCP/IP STACK WITH A SoC PLATFORM Professor : CHI-JO WANG Name : Bui Quang Hoa (M982b211)
Border security using Wireless Integrated Network Sensors(WINS)
Lucas Dias and Fabio Mantelli
Distributed Cache Technology in Cloud Computing and its Application in the GIS Software Wang Qi Zhu Yitong Peng Cheng
Outline Introduction Standards Project General Idea
Introduction to Wireless Sensor Networks
Computer Network Topologies
Trusted Routing in IoT Dr Ivana Tomić In collaboration with:
DEPARTMENT OF COMPUTER SCIENCE
Deployment & Advanced Regular Testing Strategies
Introduction to Wireless Sensor Networks
Presented by Prashant Duhoon
任課教授:陳朝鈞 教授 學生:王志嘉、馬敏修
Routing.
Bluetooth Based Smart Sensor Network
Software Defined Networking (SDN)
CS294-1 Reading Aug 28, 2003 Jaein Jeong
Adhoc and Wireless Sensor Networks
D A C B Radio Irregularity.
OVERVIEW OF BIOLOGICAL NEURONS
OSI Model OSI MODEL.
Denial-of-Service Jammer Detector Training Course Worldsensing
Marios Karagiannis TCS/Sensor Lab University of Geneva 12/3/2012
Sensor Networks – Motes, Smart Spaces, and Beyond
Protocols.
Overview of Networking
Arduino Board.
Arduino म्हणजे काय?.
Routing.
Task Manager & Profile Interface
Protocols.
Presentation transcript:

REMOTE SENSING IN THE ARCTIC REGION Project Lead: Dr. Martin Cenek Research Assistants: Matt Devins Mike Mobley Slide numbers Motivation: what about estuaries? How does this research connect to resilience and est. Add affiliation and contacts

What is Remote Sensing? Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object and thus in contrast to on site observation. (https://en.wikipedia.org/wiki/Remote_sensing) Remote sensing is the science of obtaining information about objects or areas from a distance, typically from aircraft or satellites. (http://oceanservice.noaa.gov/facts/remotesensing.html)

Why Remote Sensing? Vast difficult to reach landscape Reduced Manpower Versatility Ability to collect large data sets for analyzation

Remote Sensing Challenge Problem Solutions Cost Environment Infrastructure Get someone else to pay for it/design Design for easy deployment Reliable autonomous design

Our Design – The Hardware http://lowpowerlab.com/moteino/#antennas

Our Design – The Hardware Inexpensive Capable/Versatile Pins – 14 digital, 8 analog Clock speed – 16MHz Flash memory – 32KB SRAM 2KB EEPROM – 1KB Embedded UHF Transceivers for comm

Our Design – The Software

Our Design – The Software The heart of the system is the node software Initialization/Distance Vector algorithm Establishes shortest path options for each node to each of the four readout nodes Event Detection Interfaces with sensor to detect event occurrence Neuromorphic determination to propagate Big E Event Propagation 2 way handshake protocol ensures delivery Re-routes packet if node failure occurs

Our Design – The Software Network behavior/testing through simulation NetLogo was used to simulate network behavior due to the challenges of testing the network in a deployed configuration Along with the assistance of Eureqa software, the simulation was vital to develop a triangulation methodology Enable rapid performance testing with multiple node distribution/connectivity

Hardware/Software Integration Readout Nodes Nodes inside not GPS, no uplink, only see and know about its neighbors The readout nodes are more powerful, connected to the outside world (satelite, com net, phone..)

Event Detection Began with simple voltage signal on analog pin Event detection triggered radio to propagate signal to each of the four readout nodes (this was initially a challenge due to high level of RF jamming) Neuromorphic event detection (reduce false hits) …neuromorphic computing, is a concept developed by Carver Mead, in the late 1980s, describing the use of systems containing electronic signals to mimic neuro-biological architectures present in the nervous system. (Thanks again Wikipedia!)

Triangulation Great! We detected an event, now where was it?

Triangulation

Triangulation Typical RF triangulation uses highly synchronized clocks stabilized by precise oscillators Our hardware platform does have clocks but the drift and clock maintenance required makes traditional triangulation impossible We used empirical observation to derive a triangulation solution that we implemented in the simulation software

Simulator Triangulation

Simulator Triangulation Our initial attempt was able to properly triangulate the event 75% of the time We weren’t satisfied so we got assistance from Eureqa software to help derive a formula Improved to 99% triangulation success

Event Detection with Triangulation

In Development: Data Collection PHP interface connected to MySQL DB to collect and analyze event data

In Development: Sound Processing Current work includes processing of sound samples and comparing them with predefined signatures Enables detection of particular set of sound profiles Ignores/Filters unmatched noise

Life Cycle

QUESTIONS?