WIRELESS INTEGRATED NETWORK SENSORS

Slides:



Advertisements
Similar presentations
Networking: Computer Connections Chapter 7 Data Communications Send and receive information over communications lines.
Advertisements

anywhere and everywhere. omnipresent A sensor network is an infrastructure comprised of sensing (measuring), computing, and communication elements.
V-1 Part V: Collaborative Signal Processing Akbar Sayeed.
Presented by : Poorya Ghafoorpoor Yazdi Eastern Mediterranean University Mechanical Engineering Department Master Thesis Presentation Eastern Mediterranean.
RAJAKISHORE PADHI ECE;  WINS provide a new monitoring & control capability for monitoring the border of the country.  Usig this concept we.
WINS NG 2.0 Current Status and Network Assembly Sensoria Corporation Internetworking the Physical World Santa Fe, NM January 16, 2002.
A Data Fusion Approach for Power Saving in Wireless Sensor Networks Reporter : Chi-You Chen.
Research Challenges in Wireless Networks of Biomedical Sensors Presented by - Dipti R. Patel.
Mobile and Ubiquitous Computing. Overview Attributes Discussion.
Cognitive Radio Networks Breakout GENI Wireless Workshop 28 March 2007.
Overview.  UMTS (Universal Mobile Telecommunication System) the third generation mobile communication systems.
Sensor Network with Mobile Access: An Experimental Testbed Adaptive Communications and Signal Processing Group School of Electrical & Computer Engineering.
A New Household Security Robot System Based on Wireless Sensor Network Reporter :Wei-Qin Du.
REAL-TIME SOFTWARE SYSTEMS DEVELOPMENT Instructor: Dr. Hany H. Ammar Dept. of Computer Science and Electrical Engineering, WVU.
Wireless Sensor Networks Smart Environments: Technologies, Protocols, and Applications ed. D.J. Cook and S.K. Das, John Wiley, New York, B.Devi
Wireless Sensor Networks for Habitat Monitoring Jennifer Yick Network Seminar October 10, 2003.
Vanderbilt University Vibro-Acoustics Laboratory Distributed Control with Networked Embedded Systems Objectives Implementation of distributed, cooperative.
ACCESS CONTROL & INTRUSION DETECTION BY:RAUL FERNANDES
ZIGBEE PROTOCOL FOR WIRLEESS SENSOR NETWORK ZIGBEE PROTOCOL FOR WIRLEESS SENSOR NETWORK Research paper Lina kazem
1 Energy Efficient Communication in Wireless Sensor Networks Yingyue Xu 8/14/2015.
MPS/DMR Materials for sensors New materials and chemical processes are the starting point for advances and innovation in critical sensor systems. Sensors.
Integrated Systems Programming Embedded Systems And Systems Integration.
MICA: A Wireless Platform for Deeply Embedded Networks
Operated by Los Alamos National Security, LLC for NNSA U N C L A S S I F I E D Slide 1 Sensor network based vehicle classification and license plate identification.
REAL-TIME SOFTWARE SYSTEMS DEVELOPMENT Instructor: Dr. Hany H. Ammar Dept. of Computer Science and Electrical Engineering, WVU.
Domestic Nuclear Detection Office (DNDO) NITRD Workshop What are the Biggest Opportunities in Networking Problem? Sept. 20, 2012 Timothy Ashenfelter, PhD.
Shahin Farshchi, Member, IEEE, Aleksey Pesterev, Paul Nuyujukian, Eric Guenterberg, Istvan Mody, and Jack W. Judy, Senior Member, IEEE, ” Structure of.
Tufts Wireless Laboratory School Of Engineering Tufts University “Network QoS Management in Cyber-Physical Systems” Nicole Ng 9/16/20151 by Feng Xia, Longhua.
Multiple Autonomous Ground/Air Robot Coordination Exploration of AI techniques for implementing incremental learning. Development of a robot controller.
COMMUNICATION SYSTEM (2) CT1401 LECTURE-9 : MOBILE PHONE BY : AFNAN ALAYYASH SUPERVISION : DR.OUIEM BCHIR.
PRESENTED BY: SAURAV SINGH.  INTRODUCTION  WINS SYSTEM ARCHITECTURE  WINS NODE ARCHITECTURE  WINS MICRO SENSORS  DISTRIBUTED SENSOR AT BORDER  WINS.
Sluzek 142/MAPLD Development of a Reconfigurable Sensor Network for Intrusion Detection Andrzej Sluzek & Palaniappan Annamalai Intelligent Systems.
Presented BY:- S.KOTESWARA RAO 09511A0528. INTRODUCTION Bluetooth is wireless high speed data transfer technology over a short range ( meters).
Introduction to Wireless Sensor Networks
DEVICES AND COMMUNICATION BUSES FOR DEVICES NETWORK
Intelligent Database Systems Lab 國立雲林科技大學 National Yunlin University of Science and Technology 1 Wireless Sensor Network Wireless Sensor Network Based.
REAL-TIME SOFTWARE SYSTEMS DEVELOPMENT Instructor: Dr. Hany H. Ammar Dept. of Computer Science and Electrical Engineering, WVU.
SMUCSE 8394 BTS – Communication Technologies. SMUCSE 8394 Objectives To establish and maintain a unifying exchange and sharing framework for different.
Application of Operating System Concepts to Coordination in Pervasive Sensing and Computing Systems Benjamin J. Ewy, Larry M. Sanders Ambient Computing,
Lecture 22: Wireless Sensor Security
Name Of The College & Dept
Acoustic localization for real-life wireless sensor network applications Michael Allen Cogent Computing ARC in collaboration with: Centre for Embedded.
Internet of Things. IoT Novel paradigm – Rapidly gaining ground in the wireless scenario Basic idea – Pervasive presence around us a variety of things.
Student Name USN NO Guide Name H.O.D Name Name Of The College & Dept.
Wireless Ad Hoc Networks
B. RAMMAMURTHY Connected Vehicle Technology 6/6/2014 cse651 1.
WINS Short Course 1 Sensor.com WINS Network Signal Processing Network Signal Processing Research Review SenseIT PI Meeting October 7-8, 1999 Marina Del.
Introduction to Wireless Sensor Networks
Wireless Sensor Networks
Potential topic for Thematic Networks: Wearable Computing and Smart Clothing – > Active Clothing Brussels, May 15, 2007 Ilkka Saarnio.
CONTENTS: 1.Abstract. 2.Objective. 3.Block diagram. 4.Methodology. 5.Advantages and Disadvantages. 6.Applications. 7.Conclusion.
BORDER SECURITY USING WIRELESS INTEGRATED NETWORK SENSORS (WINS) By B.S.Indrani (07841A0406) Aurora’s Technological and Research Institute.
Border Security Using Wireless Integrated Network Sensors
Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends Prepared by: Ameer Sameer Hamood University of Babylon - Iraq Information.
CRESST ONR/NETC Meetings, July July, 2003 ONR Advanced Distributed Learning Bill Kaiser UCLA/SEAS Wireless Networked Sensors for Assessment.
MUHAMAD SHAZNI BIN MOHAMMAD SHAH. Gateway Using different protocols for interfacing network by network nodes Contain device such as protocol translator,
Wireless Sensor Network: A Promising Approach for Distributed Sensing Tasks.
Software Architecture of Sensors. Hardware - Sensor Nodes Sensing: sensor --a transducer that converts a physical, chemical, or biological parameter into.
A brief introduction to IoT gateway
Border security using Wireless Integrated Network Sensors(WINS)
SENSOR FUSION LAB RESEARCH ACTIVITIES PART I : DATA FUSION AND DISTRIBUTED SIGNAL PROCESSING IN SENSOR NETWORKS Sensor Fusion Lab, Department of Electrical.
MetaOS Concept MetaOS developed by Ambient Computing to coordinate the function of smart, networked devices Smart networked devices include processing.
Energy-Efficient Communication Protocol for Wireless Microsensor Networks by Wendi Rabiner Heinzelman, Anantha Chandrakasan, and Hari Balakrishnan Presented.
Embedded System Communication
Bluetooth Based Smart Sensor Network
Name Of The College & Dept
Denial-of-Service Jammer Detector Training Course Worldsensing
Sensor Networks – Motes, Smart Spaces, and Beyond
Brussels, May 15, 2007 Ilkka Saarnio
Task Manager & Profile Interface
Presentation transcript:

WIRELESS INTEGRATED NETWORK SENSORS

INTRODUCTION:- Wireless Integrated Network Sensors (WINS) provide distributed network and Internet access to sensors, controls, and processors that are deeply embedded in equipment, facilities, and the environment.

The WINS network is a new monitoring and control capability for applications in transportation, manufacturing, health care, environmental monitoring, and safety and security. WINS combine microsensor technology, low power signal processing, low power computation, and low power, low cost wireless networking capability in a compact system The opportunities for WINS depend on the development of a scalable, low cost, sensor network architecture.

WINS support a large number of sensors in a local area with short range and low average bit rate communication(less than 1kbps) WINS Multihop Communication networks permit large power reduction and the implementation of dense node distribution.

Objective Wireless Integrated Network Sensors (WINS) provide a new monitoring and control capability for monitoring the borders of the country. Using this concept we can easily identify a stranger or some terrorists entering the border

WINS nodes

The wireless integrated network sensor (WINS) architecture continuously vigilant operation low-duty cycle operation sensor wireless network interface signal processing for event detection processing event classification and identification control actuator

The WINS node architecture is developed to enable continuous sensing, event detection, and event identification at low power. Since the event detection process must occur continuously, the sensor, data converter, data buffer, and spectrum analyzer must all operate at micro power levels

Distributed network sensor devices must continuously monitor multiple sensor systems, process sensor signals, and adapt to changing environments and user requirements, while completing decisions on measured signals. For the particular applications of military security, the WINS sensor systems must operate at low power, sampling at low frequency and with environmental background limited sensitivity.

WINS MICRO SENSORS : Source signals like seismic, infrared, acoustic and others decay in amplitude rapidly with radial distance from the source. The sensor-substrate “Sensorstrate” is then a platform for support of interface, signal processing, and communication circuits.

DIFFERENT TYPES OF SENSORS

Wins infrared thermal detector:

Thermal detector just captures the harmonic signals produced by the foot-steps of the stranger entering the border. These signals are then converted into their PSD values and are then compared with the reference values set by the user.

WINS DIGTAL SIGNAL PROCESSING If a stranger enters the border, his foot-steps will generate harmonic signals. It can be detected as a characteristic feature in a signal power spectrum The spectrum analyzer resolves the WINS input data into a low-resolution power spectrum.

WINS micro power spectrum analyzer architecture

Applications: Support large numbers of sensor. Dense Sensor Distributions. These sensors are also developed to support short distance RF communication. Internet access to sensors,controls and Processor. Used in Industry,Transportation and security.