1. Tina Balke, University of
Bayreuth / University of Bath
NORMATIVE
MODELS FOR
EVIDENCE-BASED
PROCESS
ANALYSIS OF
WIRELESS MOBILE
GRIDS

2. Tina Balke, University of
Bayreuth / University of Bath
WIRELESS MOBILE
GRIDS: POTENTIAL
STARS, CASH
COWS, QUESTION
MARKS OR DOGS
– AND HOW TO
FIND OUT?

3. Financial Challenges for the
Mobile Phone Sector
 Intensifiedcompetition due to market
penetration of 132% (EU)
 ARPU: 15€/month (Germany)
 Negative profit margin of -7% is expected
by 2012 (for some companies, negative
EBITDA expected) (EU)

4. Infrastructure Challenges for
the Mobile Phone Sector
 Application demand for digital content is
rising
 Infrastructure network capacity is limited
 Smartphone battery life cycle poses a big
problem, and is considered especially
important by customers
 Smartphone compute and ad-hoc
network facilities are under-utilized

5. Wireless Mobile Grids – A
Solution!?

6. The Public Good Problem in
Wireless Mobile Grids

7. Life Cycle Costs
Source: BCG

8. Essential Question: How to
can we find out if wireless
mobile grids can actually
work and are worth investing
in?

9. Norm. Models for Evidence-
Based Process Analysis
Technical Foundations
(Energy & Transmission Normative Model
Model)
Normative Multi-
Agent-System
Simulation
Financial Model User Model

10. Early Results
Power Levels and Data Rate For WLAN Broadcast - 1000 byte
state power value [W] data rate [Mbps]
sending 1,629 5,623
receiving @ 3m 1,375 5,379
idle @ 3m 0,952 -
Power Levels and Data Rate For Cellular - 100 byte
state power value [W] data rate [Mbps]
receiving 1,314 0,193
idle 0,661 -
Source: Gian Paolo Perrucci, Aalborg University

11. Early Results II
 Analytical normative model
 ignoring strategic user behavior
 potential for wireless mobile grid solution
 Normative MAS model
 without enforcement
 with strategic user behavior
 significantly worse energy consumption

12. Early Results III
 Financial results:
 On average 85%
EBITDA increase for
idealized Wireless
Mobile Grid model
in Germany

13. Future Research
 More realistic models
 User interaction and the overall system
results
 Financial model
 Empirical study on Wireless Mobile Grid
user preferences
 Multi-stakeholder analysis
 Test implementation in Aalborg
 Location-based services

14. Acknowledgements
 JulianPadget and Marina De Vos,
University of Bath
 Torsten Eymann, University of Bayreuth
 Frank Fitzek, Aalborg University

15. Thank you very much for
your attention!
Contact: tina.balke@uni-bayreuth.de