Wireless Sensor Network with Mobile Integration . The final year project that won 3rd prize in GGSIPU inter-college project competition.

1. WIRELESS SENSOR
NETWORK WITH
MOBILE INTEGRATION
Submitted by
Shashank Agarwal
Umangjeet Pahwa
Ashish Anand

2. Information
Processing
Center
April 20, 2007
 WSN: A link between the
sensory world and the digital
world Internet
Aggregator Cloud
 Earliest: In 1994 DARPA
funded research on „Low
Power Wireless Integrated
Micro sensor‟
Base
Station
Sensor Nodes
 In 2003, Technology Review
from MIT, listed WSN on the
top, among 10 emerging
technologies that would
impact our future
2
A Typical Architecture

7. • “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”.

8. Nodes
Sink Nodes
To server

10. Client Machine
Internet
Cloud
Base
Station

14. Structural Health Monitoring
Smart Buildings
Precision Agriculture
Mobile Urban Sensing
Wildlife sensing

16. Mobile Gateway
Data Capture
Mobile Device
Real Time
Patient Monitoring

19. • 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.

20. Multi-
Sensor
Deep
Earth
Sensor

21. Meter Sensor Column (during deployment)

24. • 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.

25. 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

26. • Passive infrared (PIR)
sensors directly measure
heat from the seabird
• Temperature/humidity
sensors measure
variations in ambient
conditions resulting from
prolonged occupancy

27. • 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.

29. OTHER APPLICATION OF WSN
temperature
SED
monitoring
lighting control environmental
access control Sink monitoring
SED SED
M2M
communications
BUILDING SENSOR
AUTOMATION NETWORKS
patient mouse
monitoring keyboard
fitness joystick
monitoring
PERSONAL PC &
HEALTH CARE PERIPHERALS
process security
control HVAC
asset & RESIDENTIAL/ lighting control
LIGHT
environment INDUSTRIAL COMMERCIAL
access control
management CONTROL CONTROL lawn & garden
irrigation

31. „Smart dust‟ to explore planets:
Tiny “smart” devices that can be borne on the
wind 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 sheath
that 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.

32. I. “Landslide Detection & Early Alarm system” by Amrita University
II. “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/ns
VII. ON World Inc, “Wireless Sensor Networks – Growing Markets,
Accelerating Demands”, July 2005,
http://www.onworld.com/html/wirelesssensorsrprt2.htm

33. 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