how to achieve energy efficiency in gps
TRANSCRIPT
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ENERGY EFFICIENCY IN GPS
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SEMINAR TOPIC
ENERFY EFFICIENCY IN GPS
International Institute of Information Technology, Pune – 411057
GUIDE:Prof.Ramkrushna sir
PRESENTED BY:Aditi Gadgul
TE(Compter Enng)
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• Battery consumption consideration• Without GPS turned on a cellphone battery level
drops to 94% in an hour• With GPS turned on a cellphone battery level drops
to 56% in an hour
With GPS turned on
With GPS turned off
INTRODUCTION
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MOTIVATION
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ABSTRACT
Smart phones are equipped with powerful sensor sets Wifi GPS Acceleration orientation
Coverage area of GPSAccuracy of GPS
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LITERATURE SURVEY
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TRADITIONAL GPS SYSTEM
Continues GPS sensingHence more energy
consumption
Sample points
So how to reduce this??
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PROPOSED GPS SYSTEM
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APPROACH 1
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Use of pre-existing sensorsAcceleration Orientation
An alternative to GPSWIFI based tracking system
Introduction of new serviceA prototype which will do switching between
alternative tracking technique
HOW IT IS DIFFERENT??
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Limited availability of GPS verses Multiple Location sensing methods
Unnecessary GPS sampling verses Adaptive Listening
Assistance from other Sensors
CHALLENGES AND OPPORTUNITIES
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SYSTEM ARCHITECHTURE
Accelerometer
OrientationSensor
GPS WIFI
Location Samples
Reconstructed Track
Gaussian Processregression
SMARTPHONE
SERVER
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1.Data Collection and MethodologyThe prototype continuously collects data from sensors at default
rate of the system
PERFORMANCE EVALUATION
T= 1s 3s 5s 7s
Key turning points
4misses
1 0 0
Theta= 45 60 75 90
Key turning points
0misses
1 3 4
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2.Accuracy
Recorded locations
Predicted locations
Averageerror
AlternativeTrace
38 samples 24 predictions 3.12 m
GPSTrace
568 samples 0 0
Average Error
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3. Energy Efficiency
Altern
ativ
e
trad
ition
al
Altern
ativ
e
trad
ition
al0
200
400
600
800
1000
1200
Comparison of energy ef-ficiency
Time of GPS
sensorBeing active
Number of GPS location sampling
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GPR (Gaussian Process Regression) :
ALGORITHMS USED
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NEEDS ONLY 7% GPS SAMPLES OF TRADITIONAL APPROACH
SAVES NEARLY 90% GPS ACTIVATED TIME
RECONSTRUCTS USER’S TRAJECTORY WITH HIGH ACCURACY AND BETTER COVERAGE
Hence…..
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APPROACH 2
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REASONS
An MLSA requires timely and accurate location information, so it favors keeping GPS receivers in the ON mode continuously.
An MLSA generates a substantial amount of continuous data, including the trajectory of the moving object (i.e., the location information etc).
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For reducing the energy required for MLSA GPS tracking
1. EBT(Event Based GPS Tracking)which uses:
Static duty-cycle(SDC) Dynamic duty-cycle(DDC)
ALGORITHMS USED
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For reducing the energy required for data communication:
2. IFC(Inter-Fame Coding)which uses:
Byte-level compression (Decompression) Spatial-temporal compression (Lossy)
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FLOWCHART
Event Based GPSTracking System
The location of GPS trackingdeteriorates in two situations:
1) The GPS receiver has been in the OFF mode for longer period
2) There has been a significant change in the movement pattern of
the object.
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Approach 1
Approach 2
Modified Algorithm
PROPOSED ALGORITHM
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Data Decompression(Using IFC)
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ADVANTAGES
Easy and simpleFast than traditional LBSReduction in server stressMinimized energy consumption
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CONCLUSION
Hence the energy consumption of the traditional GPS system is reduced with the help of new prototype which switches between traditional and naive location tracking system
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Overcome limitations in existing system
i. Other indoor technologiesii. Energy consumption of accelerometer and
orientation sensoriii. Multiple mobility patterns
Study of algorithms to reduce server stress
FUTURE WORK
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THANK YOU
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QUESTIONS??