Involvement of WSN in Smart Cities

1. Involvement of WSN
with Smart City Applications
Hitesh Mohapatra

2. Contents
• What is WSN?
• How WSN influences human life style?
• Why and How smart city become a buzz word?
• How WSN is one of the primary strength in smart city mission?
• What are the applications which are based WSN in smart cities?
• What are the problem areas based on WSN in smart city ?
• What are the tools available for simulation and execution ?
• How to approach to solve smart city applications?

3. What is WSN?
• Wireless Sensor Networks (WSNs)
can be defined as a self-configured
and infrastructure-less wireless
networks to monitor physical or
environmental conditions, such as
temperature, sound, vibration,
pressure, motion or pollutants and
to cooperatively pass their data
through the network to a main
location or sink where the data can
be observed and analyzed.
Figure 1. A typical Wireless Sensor Network

4. What are the applications which
are based WSN in smart cities?
Wireless sensor networks have gained considerable popularity due to
their flexibility in solving problems in different application domains
and have the potential to change our lives in many different ways.
WSNs have been successfully applied in various application domains.

5. Figure 2. WSN involvement in our life style

6. How WSN influences human life?
Military applications:
• Military command
• Control, communications
• Computing, intelligence
• Battlefield surveillance
• Reconnaissance
• Targeting systems
Area monitoring:
• Heat,
• Pressure
• Humidity
Transportation:
• Auto Toll gate fees collection
• Real traffic management
• Parking management
• Urban road congestion avoidance

7. Cont..
Health applications
• Patient monitoring
• Diagnostics, and drug
• Administration in hospitals
• Tele-monitoring of human physiological data and
tracking
• Monitoring doctors availability
Environmental sensing:
• Sensing volcanoes, oceans, glaciers, forests etc.
• Air pollution monitoring
• Forest fires detection
• Greenhouse monitoring
• Landslide detection

8. Cont..
Structural monitoring:
• Monitoring bridges, flyovers, embankments,
tunnels etc.
• Engineering practices to monitor assets
remotely with out the need for costly site
visits.
Industrial monitoring:
• Condition-based maintenance (CBM) as they offer
significant cost savings and enable new
functionalities.

9. Cont..
Agricultural sector:
• Irrigation automation
• Resource conservation
• Water resource management

10. Why and How smart city
become a buzz word?
• Overpopulation
• Rapid urbanization
• Comfortable lifestyle
• Seeking for new job opportunity
• Advanced Facilities

11. How WSN is one of the primary
strength in smart city mission?
• Infrastructure less
• Flexible
• Self-healing
• No human intervene
• Remote control and monitoring
• Easily scalable
• Cost effective

12. What are the problem areas
based on WSN in smart city ?
• Smart Water
• Smart Grid
• Smart Transportation
• Smart Agriculture
• Smart Healthcare service
• Smart Education

13. Smart Water
• Water quality monitoring
• Water asset monitoring
• Water distribution network management
• Water conservation
• Rain water harvesting
• Water loss avoidance

14. Smart Water

15. Smart Grid
• Balancing of load distribution
• AMI (Automated metering infrastructure)
• Cable sagging monitoring
• Accident avoidance around transformer

16. Smart Grid

17. Smart Transportation
• Automated toll collection
• Traffic monitoring
• Accident avoidance through in vehicle alarm
• Parking space management
• Drone ambulance

18. Smart Agriculture
• Crop monitoring
• Water monitoring
• Crop suggestion model
• Crop disease monitoring
• Pesticide suggestion model

19. How WSN can be integrated to
Smart City?
• Efficient routing among sensors
• Efficient localization of sensors
• Trustworthy security mechanism
• Energy management of sensors (in case remotely
deployed)
• Management of reliability and scalability of
network
• Data compatibility in heterogeneous environment
• Data storing and management
• etc…

20. What are the tools available for
simulation and execution ?
• InterSCsimulator
• Cup Carbon
• Qualnet
• Matlab
• NS2 or NS3
• omnet++
• SIMPOP
• SCSimulator

21. How to approach to solve smart
city applications?
• Analyze the existing deployed models of
smart applications.
• Do a compatibility and feasibility checking
in target environment.
• Implement the existing and looks for the
loopholes.
• Try to overcome those loopholes in the
proposed model.

22. Thank You