1. POWER MANAGEMENT IN
WIRELESS SENSOR
NETWORK
Presented By
Vijeta-12/118
“PowerManagement In Wireless Sensor Network ”
JMIT , RADAUR
2. ABSTRACT
Deployments in wireless sensor network for real life applications
has rapidly increased.
Still, Energy problem remains one of the major barrier somehow
preventing the complete exploitation of this technology.
Sensor nodes are typically powered by batteries with a limited
Efficient energy management is thus a key requirement for a
credible design of a wireless sensor.
This paper presents an overview of the key technologies required
for low-energy distributed micro sensors.
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3. 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.
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4. Wireless – Communication via radio waves
Autonomous – Independent; self-directed
Ad hoc network – A network without a fixed, well-
defined infrastructure
Sensor node – Device that produces a measurable
response to a change in physical condition
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6. SENSOR NODE
A sensor node, also known as a ‘Mote‘
Node in a WSN that is capable of performing some
processing, gathering sensory information and
communication with gateway sensor node
Different parts of sensor node require power for
processing
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7. Four subsystems:
computing subsystem consisting of a microprocessor or
micro controller,
communication subsystem consisting of a short range
radio for wireless communication,
sensing subsystem that links the node to the physical
world and consists of a group of sensors
power supply subsystem, which houses the battery and
the dc-dc converter, and powers the rest of the node.
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10. MILITARY MONITORING
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11. Need for Power Management
Sensor nodes - Battery Driven must have a lifetime
on the order of months to years.
Battery Replacement is not an option - thousands
of physically embedded nodes.
In some cases, Renew Energy from the
Environment
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12. POWER OPERATION IN NETWORK
Power Used In Radio Communication Hardware
Microcontroller
Methods to design Energy-efficient networks
Signal Processing in the Network
System Partitioning
Read, Write and Erase Energy Usage
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13. POWER USED IN RADIO H/W
The functionality of both transmitter and receiver are
combined into a single device known as transceiver are
used in sensor nodes.
The operational states are transmit ,receive , idle and
sleep
Low Voltage Operation
1.8V minimum supply
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14. MICROCONTROLLER :-
Performs Tasks, Processes Data and Controls the
functionality
Flexibility ,power consumption is less, sleep state
1.8V power supply
Active power 6mW
Sleep power 3µw
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15. SIGNAL PROCESSING IN NETWORK
“PowerManagement In Wireless Sensor Network ” JMIT , RADAUR 15
16. SYSTEM PARTITIONING
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17. Energy Management Issues
Actuation energy is the highest
Strategy: ultra-low-power “sentinel” nodes
Wake-up or command movement of mobile nodes
Communication energy is the next important issue
Strategy: energy-aware data communication
Adapt the instantaneous performance to meet the
timing and error rate constraints, while minimizing
energy/bit
Processor and sensor energy usually less important
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19. ADVANTAGES
Low cost
Low power
Small size
Fast operation
Reduce of man power
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20. DISADVANTAGES
Short communication distance
It’s damn easy for hackers to hack
Comparatively low speed of communication
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21. APPLICATIONS
Environmental sensing
Home automation
Security & military surveillance
Industrial control & monitoring
Health care
Agriculture field
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22. CONCLUSION
In human life a sensor network may be the powerful tool,
because they can be deployed at the places where a
man can not reach.
Only by incorporating energy awareness into every stage
of wireless sensor network design and operation, thus
empowering the system with the ability to make dynamic
tradeoffs between energy consumption, system
performance, and operational fidelity.
The network lifetime can be maximized
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23. REFERENCES
[1] Rajgopal Kannan, Ram Kalidindi, S. S. Iyengar Energy and Rate based
MAC Protocol for Wireless Sensor Networks , International Symposium on
Communication Theory and Applications, Louisiana State University,
Dec2003
[2] Heidemann, F. Silva, C. Intanagonwiwat, Building efficient wireless
sensor networks with low-level naming, Proceedings of the Symposium on
Operating Systems Principles, Banff,Canada, 2001.
[3] Michele Zorzi and Ramesh R. Rao Energy and latency performance of
geographic random forwarding for ad hoc and sensor networks UdR CNIT,
University of Ferrara Saragat, Ferrara,Italy, June2002
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