Vijeta 12118

POWER MANAGEMENT IN WIRELESS SENSOR

NETWORK

Presented By Vijeta-12/118“PowerManagement In Wireless Sensor Network ”

JMIT , RADAUR

2“PowerManagement In Wireless Sensor Network ” JMIT , RADAUR

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.


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.

WIRELESS SENSOR NETWORK


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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SENSOR NETWORK

“PowerManagement In Wireless Sensor Network ” JMIT , RADAUR

Gateway sensor node

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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



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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SENSOR NODE ARCHITECTURE



Node Examples


MILITARY MONITORING


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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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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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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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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SIGNAL PROCESSING IN NETWORK


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SYSTEM PARTITIONING


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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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ADVANTAGES

Low cost

Low power

Small size

Fast operation

Reduce of man power


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DISADVANTAGES

Short communication distance

It’s damn easy for hackers to hack

Comparatively low speed of communication


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APPLICATIONS

Environmental sensing

Home automation

Security & military surveillance

Industrial control & monitoring

Health care

Agriculture field


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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



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

Vijeta 12118

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