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Presentation at ICCCN 2013, on M2M communication over TV White Spaces for smart metering applications, with a focus on energy consumption.
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Machine-to-Machine Communication over TV White
Spaces for Smart Metering Applications
Luca Bedogni, Angelo Trotta, Marco Di Felice, Luciano Bononi
ICCCN 2013, Nassau, Bahamas
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
Outline M2M and smart meters
Analytical model
Master/Slave scheduling problem
Performance evaluation
Conclusions and future directions
2
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
M2M and smart meters M2M
Communication between devices Usually short packet size, bursty traffic
Part of the infrastructure is on cellular bands Crowded Low coverage in certain areas
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
Cognitive Radio over TVWS Sense the environment and act accordingly
Efficient spectrum use
TV White Space
Underutilized frequencies in the VHF/UHF range
National regulations (FCC, Ofcom)
Remote spectrum database, two classes of devices (Master/Slave)
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
General AMI Scenario
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
Scenario
RemoteSpectrumDatabase
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
Our proposal
RemoteSpectrumDatabase
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
Masters’ daily schedule
Several read operation
Query the DB
Receive
Merge others measurements
Transmit to the remote aggregator
Manage the network
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
Focus: energy efficency
MDidMDmatxagrxMDDBreMD EEEEEEEE ___
SDidSDmaSDtxSDDBreSD EEEEEE ____
dEdE jj ][
][][, dEEdE jstarti
leftji
jj E
EE ][
Model the daily consumption
So the energy consumed at day d is
We can also derive the energy left and day zero
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
Behavior
Time
Ener
gy
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
Definitions Goal, cluster lifetime
No Return Point (nrp)
Soft No Return Point
Satisfiability
ddSDd ][:)min(
1][:)max( zMDii
i EzEz
n
iiz
1
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
Satisfying a goal
Time
Ener
gy
Definitions- Goal- No return point- Soft no return point- Satisfiability
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
Centralized framework Given
To find
Subject to
,, iMDn
},,,{ 110 nDDDD
ii MDD
iD
))()(( [,0[[,0[ minmaxmini
ini
i
ini MD
D
MD
Dimize
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
Distributed proposals 4 different proposals
No Election
Highest first
Greedy
Cost aware
No election at all
Each device is a Master device
A lot of energy consumption
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
Distributed proposals 4 different proposals
No Election
Highest first
Greedy
Cost aware
Election at the end of each day
High overhead
The device with the most remainingbattery is the new Master
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
Distributed proposals 4 different proposals
No Election
Highest first
Greedy
Cost aware
Each device act as a MD for its maximum capacity
Reduced number of elections
Not fair
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
Distributed proposals 4 different proposals
No Election
Highest first
Greedy
Cost aware
Update of SD and MD values
Each device has an updated vision of the system
More fair, and guarantee the goal
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
Cluster lifetime
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
Goal satisfaction
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
Fairness
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
Elections
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
Conclusions Application of Cognitive Radio to Smart Metering
applications
Analytical model
Centralized and Distributed proposals
Study on cluster lifetime, goal satisfaction, elections and
fairness
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
Future works Extension of the analytical model
Interference and switching issues
Multi-hop solutions
To form dynamic clusters
Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
Thank you
THE END
