Presentation at ICCCN 2013, on M2M communication over TV White Spaces for smart metering applications, with a focus on energy consumption.

1. 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

2. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN
Outline
 M2M and smart meters
 Analytical model
 Master/Slave scheduling problem
 Performance evaluation
 Conclusions and future directions
2

3. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN
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

4. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN
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)

5. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN
General AMI Scenario

6. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN
Scenario
Remote
Spectrum
Database

7. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN
Our proposal
Remote
Spectrum
Database

8. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN
Masters’ daily
schedule
 Several read operation
 Query the DB
 Receive
 Merge others measurements
 Transmit to the remote aggregator
 Manage the network

9. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN
Focus: energy
efficency
MDidMDmatxagrxMDDBreMD EEEEEEEE ___ ++++++=
SDidSDmaSDtxSDDBreSD EEEEEE ____ ++++=
dEdE jj ⋅=][
][][, dEEdE j
start
i
left
ji −=
j
j
E
E
E =][θ
 Model the daily consumption
 So the energy consumed at day d is
 We can also derive the energy left and day zero

10. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN
Behavior
Time
Energy

11. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN
Definitions
 Goal, cluster lifetime
 No Return Point (nrp)
 Soft No Return Point
 Satisfiability
ψ
ψχθχ ≥+ ddSDd ][:)min(
1][:)max( +≥− zMDi
i
i EzEz χ
∑=
=
n
i
iz
1
ρ
ψρ ≥

12. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN
Satisfying a goal
Time
Energy
Definitions
- Goal
- No return point
- Soft no return point
- Satisfiability
ψ

13. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN
Centralized
framework
 Given
 To find
 Subject to
ψ,, iMDn
},,,{ 110 −→ nDDDD 
ii MDD ≤
∑ ≥ψiD
))()(( [,0[[,0[ minmaxmin
i
i
ni
i
i
ni
MD
D
MD
D
imize ∈∈ −

14. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN
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

15. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN
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 remaining
battery is the new Master

16. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN
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

17. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN
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

18. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN
Cluster lifetime

19. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN
Goal satisfaction

20. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN
Fairness

21. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN
Elections

22. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN
Conclusions
 Application of Cognitive Radio to Smart Metering
applications
 Analytical model
 Centralized and Distributed proposals
 Study on cluster lifetime, goal satisfaction, elections and
fairness

23. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN
Future works
 Extension of the analytical model
 Interference and switching issues
 Multi-hop solutions
 To form dynamic clusters

24. Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications, ICCCN 2013
Thank you
THE END