Jay Wiley

possehastyMechanics

Nov 5, 2013 (3 years and 9 months ago)

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WIRELESS SENSOR
NETWORKS:

POWER RELATED ISSUES



Jay Wiley, #26445709

CSE 7344,Computer
Networks and Distributed Systems II

Dr. Golla

Agenda


Sensor networks


Part 1


Applications


Components


Design factors


Types


Examples of sensor networks


How to defeat


Paper Review


Part 2


Using Individualized Link Power Settings for Energy
Optimization


Modeling the Performance of Wireless Sensor
Networks


Application of Wireless Sensor Networks in Energy
Automation


Battery Power Efficiency of PPM and
FSK


Energy
-
Efficient Dynamic Clustering
Algorithm


Summary


References

Sensor Networks


Sensors are cheap, small, and intelligent


May be easy to deploy


Wide selection


Power consumption

Applications


Military


Environmental


Office / home climate control


Oceanography


Medicine

Components


Sensing Unit


Seismic, infrared, optical, acoustic, and motion


Processing Unit


Power Unit

Design Factors


Fault tolerance / reliability


Scalability


Environment


Transmission method


Power

Types of WSNs


Terrestrial WSN


Underground WSN


Underwater WSN


Multi
-
media WSN


Mobile WSN

How to Defeat


Avoid the specific technology


Leverage dead spots


Probability of detection


Probability of false alarm


Using Individualized Link Power
Settings for Energy Optimization


Neighborhood Node ratings (e.g. link state routing)

Modeling the Performance of
WSNs


Confirmed earlier characteristics


Limited
availability of power


Performance trade
-
offs


functionality
and
power


Nodes
cannot transmit and receive at the same
time


Two
formal states of a node
-

active and sleep.


sleep
mode saves
power; still uses energy

Application of Wireless Sensor
Networks in Energy Automation


WSN useful in
energy
automation


Focused on
route and
topology


Confirmed earlier characteristics


topology
, power, design constraints
& routing methods

Battery Power
Efficiency


Battery
power
-
conserving schemes for two
modulation
types


pulse
position modulation (PPM) and frequency shift
keying (
FSK)


Modulation can
conserve
power


Consider
the physical network
topology


FSK
is better than
PPM


Intended
mission
will
dictate what method you
use


Energy
-
Efficient

Dynamic
Clustering Algorithm


Battery
power is the most crucial
resource


EE
-
DCA
algorithm performs better than
other algorithms


L
ow
energy adapting clustering hierarchy, or “LEACH”,
makes the lead node, called a cluster head,
rotate


Base
station controlled dynamic clustering protocol (BCDCP)
is
very similar to
EE
-
DCA


EE
-
DCA
updates the neighborhood tables dynamically from
the nodes as opposed to the base station / cluster node.


Individual
nodes themselves to more accurately fill out
the neighborhood tables and keep the scores
updated

Summary


Many applications / uses for WSNs


Multiple topologies / detection methods


Function dictates design


Power key to everything


Key points from articles

References


Ahmed
Badi
,
Imad

Mahgoub

and Mohammad
Ilyas
, Using Individualized Link Power Settings for Energy Optimization in
Hierarchical Wireless Sensor Networks (WSNs), July 2009.



C.
-
F.
Chiasserini

and M.
Garetto
, Modeling the Performance of Wireless Sensor Networks,
IEEE INFOCOM 2004
, March
2004.



Ling Tan,
Shunyi

Zhang, and
Yanfeng

Sun, Jing Qi
, Application of Wireless Sensor Networks in Energy Automation,
International Conference on Sustainable Power Generation and Supply
, April 2009.



Qiuling

Tang,
Liuqing

Yang,
Georgios

B.
Giannakis
, and
Tuanfa

Qin
, Battery Power Efficiency of PPM and FSK in Wireless
Sensor Networks,
IEEE Transactions on Wireless Communications
, vol. 6, no. 4,

April 2007.



Ming Zhang and
Chenglong

Gong
, Energy
-
Efficient Dynamic Clustering Algorithm in Wireless Sensor Networks,
2008
International Symposium on Computer Science and Computational Technology
, May 2008.



N.B.


all retrieved March 2010 from
www.ieee.org