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Introduction to Wireless Sensor
Networks (WSN)
By
Robin Abraham
Student ID : 03e7b98cf34511e9a8d69318b2d205c7
Course name: Academic Writing
Email: robymec@gmail.com
Subjective assignment 2
CC BY-SA-NC 1
Wireless Sensor Network
“A wireless sensor network (WSN) is a wireless
network consisting of spatially distributed
autonomous devices using sensors to
cooperatively monitor physical or
environmental conditions, such as
temperature, sound, vibration, pressure,
motion or pollutants, at different locations.”
- Wikipedia
CC BY-SA-NC 2
WSN Architecture
CC BY-SA-NC 3
Parts of WSN
• sensor
– A transducer
– converts physical phenomenon e.g. heat, light, motion, vibration,
and sound into electrical signals
• sensor node
– basic unit in sensor network
– contains on-board sensors, processor, memory, transceiver, and
power supply
• sensor network
– consists of a large number of sensor nodes
– nodes deployed either inside or very close to the sensed
phenomenon
CC BY-SA-NC 4
Sensor Node Components
• Sensing Unit
• Processing Unit
• Transceiver Unit
• Power Unit
• Location Finding System (optional)
• Power Generator (optional)
• Mobilizer (optional)
CC BY-SA-NC 5
Basic wireless sensor network device
CC BY-SA-NC 6
Low-power Embedded Processor
• Computational tasks on a WSN device
• Processing of both locally sensed information as
well as information communicated by other
sensors.
• Research and development have only an eight-bit
16-MHz processor
• Embedded operating systems, such as TinyOS.
• WSN devices may possess extremely powerful
embedded processors
• Efficient sleep modes and dynamic voltage scaling
to provide significant energy savings.CC BY-SA-NC 7
Memory/storage:
• Storage in the form of random access and read-only
memory.
• Includes both program memory (from which
instructions are executed by the processor), and
data memory (for storing raw and processed sensor
measurements and other local information).
CC BY-SA-NC 8
Radio Transceiver
• Include a low-rate, short-range wireless radio (10–
100 kbps, <100 m).
• Needed improvements in cost, spectral efficiency,
tunability, and immunity to noise, fading, and
interference.
• The radio must incorporate energy-efficient sleep
and wake-up modes.
CC BY-SA-NC 9
Sensors:
• Due to bandwidth and power constraints, WSN
devices primarily support only low-data-rate
sensing.
• Each device may have several sensors on board.
• Sensors used are highly dependent on the
application
• Include temperature sensors, light sensors,
humidity sensors, pressure sensors, accelerometers,
magnetometers, chemical sensors, acoustic sensors,
or even low-resolution imagers.
CC BY-SA-NC 10
Global positioning system(GPS)
• it is important for all sensor measurements to
be location stamped.
• Obtain positioning is to pre-configure sensor
locations at deployment, but this may only be
feasible in limited deployments.
• Network is deployed in an ad hoc manner, such
information is most easily obtained via satellite-
based GPS.
CC BY-SA-NC 11
Power source
• For flexible deployment the WSN device is
likely to be battery powered (e.g. using Li MH
AA batteries).
• The finite battery energy is likely to be the
most critical resource bottleneck in most WSN
applications.
CC BY-SA-NC 12
Applications of Wireless Sensor Networks
1. Ecological habitat monitoring
2. Military surveillance and target tracking
3. Structural and seismic monitoring
4. Industrial and commercial networked sensing
CC BY-SA-NC 13
Key Design Challenges
• Energy Efficiency
• Responsiveness
• Robustness
• Self Configuration and Adaptation
• Scalability
• Heterogeneity
• Systematic design
• Privacy and security
CC BY-SA-NC 14
Conclusion
• WSNs provide a excellent information
infrastructure for the remote monitoring,
tracking and control of indoor and outdoor
environments, industrial plants, and other
applications.
• Development of more energy efficient
algorithms will result in increased application
areas of WSNs in real time.
CC BY-SA-NC 15
REFERENCES
1) Networking Wireless Sensors: Bhaskar Krismachari, Cambridge
University Press
2) Wireless Sensor Networks: An Information Processing Approach- by
Feng Zhao, Leonidas Guibas , Morgan Kaufmann Series in Networking
2004.
• FURTHER READING
• https://en.wikipedia.org › wiki › Wireless_sensor_network
• https://www.techopedia.com › definition › wireless-sensor-network-wsn
• https://onlinelibrary.wiley.com › doi
CC BY-SA-NC 16
Feedback of the Course
• “Academic writing” by UGC is one of the best
course in NPTEL (swayam)
• Even though the course is little vast ,there is
nothing to omit
• All modules including video sessions/webinars etc
are informative and explorative
• All Self assessment quizzes ,graded quizzes ,
assignments will gain knowledge in this area
• Thank you very much to team “Academic Writing”
,especially to Prof.Ajay Semalty for executing such
a wonderful course.
CC BY-SA-NC 17
THANK YOU
CC BY-SA-NC 18

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Introduction to wsn by robin abraham

  • 1. Introduction to Wireless Sensor Networks (WSN) By Robin Abraham Student ID : 03e7b98cf34511e9a8d69318b2d205c7 Course name: Academic Writing Email: robymec@gmail.com Subjective assignment 2 CC BY-SA-NC 1
  • 2. Wireless Sensor Network “A wireless sensor network (WSN) is a wireless network consisting of spatially distributed autonomous devices using sensors to cooperatively monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants, at different locations.” - Wikipedia CC BY-SA-NC 2
  • 4. Parts of WSN • sensor – A transducer – converts physical phenomenon e.g. heat, light, motion, vibration, and sound into electrical signals • sensor node – basic unit in sensor network – contains on-board sensors, processor, memory, transceiver, and power supply • sensor network – consists of a large number of sensor nodes – nodes deployed either inside or very close to the sensed phenomenon CC BY-SA-NC 4
  • 5. Sensor Node Components • Sensing Unit • Processing Unit • Transceiver Unit • Power Unit • Location Finding System (optional) • Power Generator (optional) • Mobilizer (optional) CC BY-SA-NC 5
  • 6. Basic wireless sensor network device CC BY-SA-NC 6
  • 7. Low-power Embedded Processor • Computational tasks on a WSN device • Processing of both locally sensed information as well as information communicated by other sensors. • Research and development have only an eight-bit 16-MHz processor • Embedded operating systems, such as TinyOS. • WSN devices may possess extremely powerful embedded processors • Efficient sleep modes and dynamic voltage scaling to provide significant energy savings.CC BY-SA-NC 7
  • 8. Memory/storage: • Storage in the form of random access and read-only memory. • Includes both program memory (from which instructions are executed by the processor), and data memory (for storing raw and processed sensor measurements and other local information). CC BY-SA-NC 8
  • 9. Radio Transceiver • Include a low-rate, short-range wireless radio (10– 100 kbps, <100 m). • Needed improvements in cost, spectral efficiency, tunability, and immunity to noise, fading, and interference. • The radio must incorporate energy-efficient sleep and wake-up modes. CC BY-SA-NC 9
  • 10. Sensors: • Due to bandwidth and power constraints, WSN devices primarily support only low-data-rate sensing. • Each device may have several sensors on board. • Sensors used are highly dependent on the application • Include temperature sensors, light sensors, humidity sensors, pressure sensors, accelerometers, magnetometers, chemical sensors, acoustic sensors, or even low-resolution imagers. CC BY-SA-NC 10
  • 11. Global positioning system(GPS) • it is important for all sensor measurements to be location stamped. • Obtain positioning is to pre-configure sensor locations at deployment, but this may only be feasible in limited deployments. • Network is deployed in an ad hoc manner, such information is most easily obtained via satellite- based GPS. CC BY-SA-NC 11
  • 12. Power source • For flexible deployment the WSN device is likely to be battery powered (e.g. using Li MH AA batteries). • The finite battery energy is likely to be the most critical resource bottleneck in most WSN applications. CC BY-SA-NC 12
  • 13. Applications of Wireless Sensor Networks 1. Ecological habitat monitoring 2. Military surveillance and target tracking 3. Structural and seismic monitoring 4. Industrial and commercial networked sensing CC BY-SA-NC 13
  • 14. Key Design Challenges • Energy Efficiency • Responsiveness • Robustness • Self Configuration and Adaptation • Scalability • Heterogeneity • Systematic design • Privacy and security CC BY-SA-NC 14
  • 15. Conclusion • WSNs provide a excellent information infrastructure for the remote monitoring, tracking and control of indoor and outdoor environments, industrial plants, and other applications. • Development of more energy efficient algorithms will result in increased application areas of WSNs in real time. CC BY-SA-NC 15
  • 16. REFERENCES 1) Networking Wireless Sensors: Bhaskar Krismachari, Cambridge University Press 2) Wireless Sensor Networks: An Information Processing Approach- by Feng Zhao, Leonidas Guibas , Morgan Kaufmann Series in Networking 2004. • FURTHER READING • https://en.wikipedia.org › wiki › Wireless_sensor_network • https://www.techopedia.com › definition › wireless-sensor-network-wsn • https://onlinelibrary.wiley.com › doi CC BY-SA-NC 16
  • 17. Feedback of the Course • “Academic writing” by UGC is one of the best course in NPTEL (swayam) • Even though the course is little vast ,there is nothing to omit • All modules including video sessions/webinars etc are informative and explorative • All Self assessment quizzes ,graded quizzes , assignments will gain knowledge in this area • Thank you very much to team “Academic Writing” ,especially to Prof.Ajay Semalty for executing such a wonderful course. CC BY-SA-NC 17