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NORMATIVE

MODELS FOR

EVIDENCE-BASED

PROCESS

ANALYSIS OF

WIRELESS MOBILE

GRIDS

Tina Balke, University of

Bayreuth / University of Bath

WIRELESS MOBILE

GRIDS: POTENTIAL

STARS, CASH

COWS, QUESTION

MARKS OR DOGS

– AND HOW TO

FIND OUT?

Tina Balke, University of

Bayreuth / University of Bath

Financial Challenges for the

Mobile Phone Sector

Intensified competition 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)

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

Wireless Mobile Grids – A

Solution!?

The Public Good Problem in

Wireless Mobile Grids

Life Cycle Costs

Source: BCG

Essential Question: How to

can we find out if wireless

mobile grids can actually

work and are worth investing

in?

Norm. Models for Evidence-

Based Process Analysis

Technical Foundations (Energy & Transmission

Model) Normative Model

Financial Model User Model

Normative Multi-Agent-System

Simulation

Early Results

state power value [W] data rate [Mbps]

sending 1,629 5,623

receiving @ 3m 1,375 5,379

idle @ 3m 0,952 -

state power value [W] data rate [Mbps]

receiving 1,314 0,193

idle 0,661 -

Source: Gian Paolo Perrucci, Aalborg University

Power Levels and Data Rate For Cellular - 100 byte

Power Levels and Data Rate For WLAN Broadcast - 1000 byte

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

Early Results III

Financial results:

On average 85%

EBITDA increase for

idealized Wireless

Mobile Grid model

in Germany

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

Acknowledgements

Julian Padget and Marina De Vos,

University of Bath

Torsten Eymann, University of Bayreuth

Frank Fitzek, Aalborg University

Thank you very much for

your attention!

Contact: tina.balke@uni-bayreuth.de

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