wireless sensor network with mobile integration
DESCRIPTION
Wireless Sensor Network with Mobile Integration .The final year project that won 3rd prize in GGSIPU inter-college project competition.TRANSCRIPT
WIRELESS SENSOR
NETWORK WITH MOBILE
INTEGRATIONSubmitted by
Shashank Agarwal
Umangjeet Pahwa
Ashish Anand
SANDEEP TAYAL(PROJECT GUIDE)
2
April 2
0, 2
00
7
WSN: A link between the sensory world and the digital world
Earliest: In 1994 DARPA funded research on ‘Low Power Wireless Integrated Micro sensor’
In 2003, Technology Review from MIT, listed WSN on the top, among 10 emerging technologies that would impact our future
Base Station
InternetCloud
Sensor Nodes
Aggregator
A Typical Architecture
InformationProcessing
CenterWSN
HUMAN
HUMAN-SENSES
TELOSB-MOTE
MOTE SENSES
Temperature Humidity Infrared
LOCATIONAnd much more..
• “A sensor network is a deployment of massive numbers of small, inexpensive, self-powered devices that can sense, compute, and communicate with other devices for the purpose of gathering local information to make global decisions about a physical environment”.
THE SENSOR NETWORK
NodesSink NodesTo server
SENSOR NETWORKCOMMUNICATION
HOW DOES IT WORK
Base Station
InternetCloud
ARCHITECTURE
Client Machine
MOTE SERVERCOMMUNICATION
WEB VIEW OF THE DATA
MOBILE VIEW OF THE DATA
Structural Health Monitoring
Precision Agriculture
Mobile Urban SensingWildlife sensing
Smart Buildings
APPLICATIONS
APPLICATION CASE 1
WSN IN
MEDICAL DIAGNOSIS
Real-Time Patient Monitoring
Data Capture Mobile Device
Mobile Gateway
Real Time Patient Monitoring
Wireless Body Area Network
APPLICATION CASE 2
LANDSLIDE DETECTION
• Bases on research paper by Amrita University for landslide detection.
• Implemented at Munnar, Idukki, Kerala, India.
• Collects data such as moisture, vibration and movement .
• Embedded 15 meters beneath the earth at different points.
LANDSLIDE DETECTION SYSTEM
Multi-Sensor Deep Earth
Sensor
Meter Sensor Column (during deployment)
Field Data
APPLICATION CASE 3
HABITAT MONITORING
Great Duck Island Experiment• Leach's storm petrels spend much of
their lives out on the waters of the South Atlantic, heading north and to shore in the springtime to mate.
• Once on dry land, the male digs a shallow, narrow burrow, 2 to 6 centimeters below ground, 3 to 6 cm across, and anywhere from 30 cm to 2 meters long.
• Here the female will lay just one egg. Both parents will occasionally leave the nest to fly back out to deep waters to feed.
David Culler and his team at UC Berkeley have deployed since 2002 a network of more than 20 motes on the Great Duck Island to monitor the island’s habitat and the breeding habits of Leach Storm Petrels
• Passive infrared (PIR) sensors directly measure heat from the seabird
• Temperature/humidity sensors measure variations in ambient conditions resulting from prolonged occupancy
Sensors used
Extreme Scale Wireless Sensor Networking
• In December 2004, the OSU DARPA-NEST team headed by Anish Arora completed the first demonstration and experiments of ExScal.
• Demonstration covered an area 1.3km by 300m with about 1000 sensor nodes and around 200 backbone nodes
• One possible application: detection & classification of multiple intruder types over an extended perimeter.
General structure of a Ex-scale WSN for oceanographic monitoring
RESIDENTIAL/LIGHT
COMMERCIAL CONTROL
securityHVAClighting controlaccess controllawn & garden irrigation
PC & PERIPHERALS
INDUSTRIALCONTROL
processcontrolasset &
environmentmanagement
PERSONAL HEALTH CARE
BUILDING AUTOMATION
lighting controlaccess control
patient monitoringfitnessmonitoring
mouse keyboardjoystick
SENSOR NETWORKS
Sink
SED
SED SED
temperature monitoringenvironmental monitoringM2M communications
OTHER APPLICATION OF WSN
FUTURE
‘Smart dust’ to explore planets:
Tiny “smart” devices that can be borne on thewind like dust particles could be carried in space probes to explore other planets, UK engineers say. The devices would consist of a computer chip covered by a plastic sheaththat can change shape when a voltage is applied, enabling it to be steered. Details were presented at the National Astronomy Meeting in Preston. John Barker, from the University of Glasgow, said the particles could use wireless networking to form swarms.
REFERENCESI. “Landslide Detection & Early Alarm system” by Amrita
UniversityII. “Great Duck Island project petrel habitat analysis” by UC
Berkeley.III. Stephan Olariu, “Information assurance in wireless sensor
networks”, Sensor network research group, Old Dominion University.
IV. C. Chong and S. P. Kumar, “Sensor Networks: Evolution, Opportunities, and Challenges”, in Proceedings of the IEEE, vol. 91, no. 8, Aug. 2003.
V. G. Anastasi, M. Conti, M. Di Francesco, “The MAC Unreliability Problem in Duty-cycled IEEE 802.15.4 Wireless Sensor Networks (Extended version)”, DII-TR-2009-04, available online at: http://info.iet.unipi.it/~anastasi/papers/DII-TR-2009-04.pdf
VI. Network Simulator Ns2, http://www.isu.edu/nsnam/nsVII. ON World Inc, “Wireless Sensor Networks – Growing Markets,
Accelerating Demands”, July 2005, http://www.onworld.com/html/wirelesssensorsrprt2.htm
VIII.IEEE Standard for Information technology, Part 15.4; Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area
IX. Networks (LR-WPANs), IEEE Computer Society, 2006J. Hui and P. Thubert. Compression Format for IPv6 Datagrams in 6LoWPAN Networks. Internet Draft (Work in Progress), December 2008.
X. IPv6 over Low power WPAN (6lowpan) Working Group. Internet Engineering Task Force (IETF). http://www.ietf.org/html.charters/6lowpan-charter.html.
XI. M. Harvan. Connecting Wireless Sensor Networks to the Internet - a 6lowpan Implementation for TinyOS 2.0. Master’s thesis, School of Engineering and Science, Jacobs University Bremen, May 2007
THANK-YOU