Wsn sarada-univ-02-03-13-final-2

Dr. SRN Reddy, Email id:[email protected]

Overview of WSN

Implementations

And role of Smart Phones

Agenda


WSN in Education and R&D –Mek

WSN and its types

Smart Phone as a Sensor(s)

Demo –A practical Implementation

Other Implementations

Conclusions

Mobile Education Kit- Mek

Presented By: Mek Team ,IGIT Delhi


Introduction

Mobile Devices are used for several purpose Calling SMS Entertainment Social Networking Internet

Use of Mobile for learning teaching and R&D is a new experience


Existing System


Lack of quality practical technical education.

More focus on the theoretical knowledge

Need Immense training to make the students productive

Lack of practical training on emerging technologies like Mobile

Architecture, RTOS, WSN etc

Leads the problem to the industry for training and more time to

market

5,50,000 engineering graduates passing out every year but

unfortunately only 10% to 25% of them are readily employed by

any Technology firm while it is roughly 15% for back-office jobs.[1]

Stronger coordination between campuses and companies is

needed.[1]

Mobile Education Kit-Mek


Mobile Education Kit – Mek is a platform which bridges the gap between theory and practices among the student through a set of experiment related to ICT subjects taught in there undergraduate and post-graduate program.

We provide them resources in term of – Ebooks Web-links Blogs, technical papers and Mobile apps

Development Platforms - Linux Nokia OS (S 40 series) Windows Phone

Objectives

VISION To impact quality of technical education by bridging the gap between theory and practice in teaching/learning of various ICT subjects using the ubiquitous mobile devices as the new pedagogical platform.[2]

MISSIONDevelop a practical teaching and learning environment that provides comprehensive set of guides and experiments, catering to the needs of Computer Science, Electronics and Information & Telecommunication technologies, by making use of modern computing platforms and make it freely accessible through : www.mobileeducationkit.net [2]


http://mobileeducationkit.net/

Subject Considered

Dr. SRN Reddy Email id:[email protected]

Experiments for

Mobile Computing

Image Processing

Embedded System

Sensor and Sensor’s Network

Computer Graphics

Database Management System

Experiment Design Template


Name of Experiment: Exp No:

Background:

Summary:

Target Platform:

Procedure:

Source Code Comment

Screenshots

Observation:

Experiment Design Template - Example


Sensor & Sensor’s Network


Done To be Done

Display Accelerometer Proximity

GPS Gyroscope

Compass

WNN Node:

Radio Components

Processors

Storage

Sensing Unit


Basic Components of a Sensor Node


Types of Sensor Networks

Based on the location:

Terrestrial WSN

Underground WSN

Underwater WSN

Multi-media WSN

Mobile WSN


Terrestrial WSNA network consists of hundreds to thousands of sensor nodes deployed on land

Challenges :

Finding the optimal route

Distributing energy consumption

Maintaining network connectivity

Eliminating redundancy

Reduce the amount of data communication

Applications :

Environmental sensing and monitoring

Industrial monitoring

Surface explorationsDr. SRN Reddy Email id:[email protected]

Underground WSN


A network consists of wireless sensor nodes deployed in caves or mines or underground

Challenges :

Expensive deployment

Maintenance

Equipment cost

Applications :

Agriculture Monitoring

Landscape Management

Underground Structural Monitoring

Underground Environment Monitoring of Soil, Water or Mineral

Military Border Monitoring

Underwater WSN


Network consists of wireless sensor and vehicles deployed into the ocean environmentChallenges:

Expensive underwater sensors

Hardware failure due to environment effects (e.g., corrosion)

Battery power cannot easily be replaced

Sparse deployment and Limited bandwidth Applications:

Pollution monitoring

Undersea surveillance and exploration

Disaster prevention monitoring

Seismic monitoring

Equipment monitoring

Underwater robotics

Multi-media WSN

A network consists of wireless sensor devices that have the ability to store,

process, and retrieve multi-media data such as video, audio, and images.

Challenges:

In-network processing, filtering, and compressing of multi-media

High energy consumption and bandwidth demand

Deployment based on multi-media equipment coverage

Flexible architecture to support different applications

Must integrate various wireless technologies

QoS provisioning is very difficult due to link capacity and delays

Effective cross-layer design

Applications :

Enhancement to existing WSN applications such as tracking and monitoring.


Mobile WSN


A network consists of mobile sensor nodes with ability to moveChallenges:

Navigating and controlling mobile nodes Must self-organized Localization with mobility Minimize energy cost Maintaining network connectivity In-network data processing Data distribution and Mobility management Minimize energy usage in locomotion Maintain adequate sensing coverage

Applications : Environmental and Habitat monitoring Military surveillance and Target tracking Underwater monitoring

WNS Applications[2]


Thanking You

Issues in WSN[1]


Thanking You

Protocol Architecture

Dr. SRN Reddy Email:[email protected]

WSN vs MANET


WSN MANET

Similarity Wireless Network Multi-hop wireless networking

Security Symmetric Key Cryptography Public Key Cryptography

Routing Protocols

Support specialized traffic pattern. Cannot afford to have too many node states and packet overhead

Support any node pairsSome source routing and distance vector protocol incur heavy control traffic

Use of Resource

Tighter resources (power, processor speed, bandwidth)

Not as tight.

Sensors in a Smart Phone

• Compass • Image sensor• Fingerprint sensor• Moisture sensor• Tactile sensor• Temperature sensor• Proximity sensor• Accelerometer sensor• Light sensor


Need of On device Sensors

•Satisfies the needs of the customers•All the relevant information required for me•More intelligent and has more computational and communication power•More services•Cheaper solutions with integration •More Apps


Mobile Phone Worked as a Sensor node in Health Monitoring[2]


Nokia Lumia 800

Windows Phone

Sensors


Accelerometer

•The accelerometer is a built-in electronic component that measures tilt and motion.

•The Accelerometer sensor detects the force of gravity along with reference to the movement of the phone.

•It can detect the rotation and motion gestures such as swinging or shaking.

•Applications: ―Screen rotation from portrait to landscape or vice-versa.―Enriching the game controls.―Controlling the mobile device music player with gesture:-

Mute an incoming callSilence an alarm or pause the mobile music player simply by turning the device face down.


Demo on Accelerometer

• Display the motion of device in 3D plane represented by three lines (Red, Blue, Green) along x, y, z axis.– Red color line represents the movement along x-axis.– Green color line represents the movement along y-axis.– Blue color line represents the movement along z-axis.

• Get the values of changing coordinates, in each x, y and z plane based on the Accelerometer.

• Major function-– TimeBetweenUpdates=TimeSpan.FromMilliseconds(20);– CurrentValueChanged+=new

EventHandler<SensorReadingEventArgs<AccelerometerReading>>– Vector 3 acceleration=e.SensorReading.Accleration;– X=acceleration.X.ToString();– Y=acceleration.Y.ToString();– Z=acceleration.Z.ToString();


Compass (Magnetometer)

• Compass or magnetometer sensor used to determine the angle by which the device is rotated relative to the Earth’s magnetic north pole.

• Use raw magnetometer readings to detect magnetic forces around the device.

• It senses orientation relative to the Earth's magnetic field using the Hall Effect.

• To measure strength, orientation, and direction of magnetic field.

Devices: Nokia N97, Nokia E72, Lumia 800 etcApplications : - Auto rotate your digital maps depending on your physical orientation and helps to the find direction in an easy way.


Demo on Compass

• Display the Magnetic Heading values in terms of radian.• Red line represents the movement of device along the

Earth’s magnetic field.• Needle is always pointing towards the North direction.• Major Function:

– DispatcherTimer.Interval=TimeSpan.FromMilliseconds(30);– CurrentValueChanged+=new

EventHandler<SensorReadingEventArgs<CompassReading>>– magneticHeading=e.SensorReading.MagneticHeading;– trueHeading=e.SensorReading.TrueHeading;


Proximity

• A proximity sensor in a mobile phone detects the presence of users’ body and deactivates the display and touch pad of phone when it is brought near the face during a call.

Applications: Save battery power by switching off the display.

• Prevent unintentional touch during call progress.• Proximity Sensor can turn off the screen to avoid accidental

touch of the screen by ear.• Pause the activity in the middle, when mobile is brought near to

the face/ear and resume previous activity when it brought away from the human body.

Devices: Lumia 800Dr. SRN Reddy Email:[email protected]

GPS

• GPS sensor detects the location of smart phone.• Work on the triangulation method. • Connection of 3 satellites is required 2D

fix(longitude, latitude) and 4 satellite for 3D fix(altitude).

• Precision: 20-50m, Maximum precision: 10mApplication:

Locating the own position on the digital map.Finding the way to desired destination.Navigation by following the GPS navigator.


Demo on GPS

• This demo gives you the latitude, longitude and altitude information in text.

• This experiment shows the actual geo-location of the device.

• Major Function:– GeoCoordinateWatcher geoWatcher=new

GeoCoordinateWatcher;– PositionChanged+=new

EventHandler<GeoPositionChangedEventArgs<GeoCoordinate>>

– Latitude=e.Position.Location.Latitude;– Longitude=e.Position.Location.Longitude;– Altitude=e.Position.Location.Altitude;


Techtile Sensor

• Tactile sensor is a device that is sensitive to touch, force, and pressure.

• Capacitive touch screen phones use touch switch, one of the kinds of tactile sensors.

• Touch switches detect the presence of finger or hand as well as stylus.


Temperature Sensor

• Temperature sensor senses the heat level.• It is mainly for the safety of the device

component.• On exceeding the threshold value for the

heating, the sensors automatically warned a user and shutdown the device.


Image Sensor

• Image sensor converts an optical image into an electric signal.

• Two types of Image Sensor– charge-coupled device (CCD) – metal-oxide-semiconductor active pixel sensor (CMOS APS)

• CMOS APS is mostly used in a mobile phone camera to sense images.

• CCD is very good for digital imaging and is mainly used in professional, medical, and scientific applications, where there is need of high quality image.

Example-Spice Mobiles has launched S-1200 with professional CCD sensor


Future Sensors

• Biometrics SensorsFingerprint recognitionFace recognitionIris pattern recognitionVoice recognition

Example- Motorola Atrix will be the first phone to come with finger print technology.


GSM-Bluetooth enabled Remote Monitoring and Control System


Irrigation system using GSM-Bluetooth


Implementation of Wireless Sensor Network by using Mobile Device


HumanSense: Towards context aware

sensing, inference and actuation for

applications in Energy and Healthcare


Conclusions


Mek can be used as a tool for WNS

On Device Sensor(s) can be adopted for

Practical implementations

Low cost sensing solutions

HumanSense

References

1. Jennifer Yick, Biswanath Mukherjee, Dipak Ghosal, “Wireless sensor network survey”, Computer Networks 52 (2008) 2292–2330

2. I.F. Akyildiz, W. Su*, Y Sankarasubramaniam, E Cayirci , “Wireless sensor networks: a survey”, Computer Networks 38 (2002) 393–422

3. National Programme on Technology Enhanced (NPTEL) Learning http://nptel.iitm.ac.in/

4. Virtual Labs http://www.vlab.co.in/

5. MIT http://www.mit.edu/6. http://mobiledeviceinsight.com/2011/12/sensors-in-smartphones/

7. http://india-mobilewatch.blogspot.in/2011/06/sensors-components-that-make-phone.htmlDr. SRN Reddy Email:[email protected]

http://nptel.iitm.ac.in/

http://www.vlab.co.in/

http://www.mit.edu/

http://mobiledeviceinsight.com/2011/12/sensors-in-smartphones/

http://india-mobilewatch.blogspot.in/2011/06/sensors-components-that-make-phone.html

http://india-mobilewatch.blogspot.in/2011/06/sensors-components-that-make-phone.html


Thanking

You

Requires Your Feed Back &

Support for http://

www.mobileeducationkit.net

Wsn sarada-univ-02-03-13-final-2

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