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A Case for Evidence-Aware Distributed Reputation Systems – Overcoming the Limitations of Plausibilit
Activity-Based User Modeling in Service-Oriented Ad-hoc-Networks
Combining Query and Preference – An Approach to Fully Automatize Dynamic Service Binding
Comparison of Overlay Mechanisms for Service Trading in Ad hoc Networks
Coupled Signature and Specification Matching for Automatic Service Binding
Effective and Efficient Search for Services in Ad-hoc-Networks
Engineering Incentive Schemes for Ad Hoc Networks – A Case Study for the Lanes Overlay.
Handbuch zur DIANE Service Description
How Social Structure Improves Distributed Reputation Systems – Three Hypotheses
Integrating Preferences into Service Requests to Automate Service Usage
On User Support by Using Network Services
Position Paper for the First AKT Workshop on Semantic Web Services
RDF-Technologies to Provide Mobile Users with Services in Wireless Networks
The Buddy System – A Distributed Reputation System Based On Social Structure.
User Support for Formulating Complex Service Requests
Activity-Based User Modeling in Service-Oriented Ad-hoc-Networks
Title: | Activity-Based User Modeling in Service-Oriented Ad-hoc-Networks |
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Authors: | Tobias Breyer, Michael Klein, Philipp Obreiter, Birgitta König-Ries |
Source: | Proceedings of the First International Working Conference on Wireless On-demand Network Systems (WONS2004) |
Place: | Madonna di Campiglio, Italy |
Date: | 2004-01-01 |
Type: | Publication |
File: | WONS2004.pdf |
BibTex: |
@ARTICLE{KKB06, author = {Birgitta K{"o}nig-Ries and Michael Klein and Tobias Breyer}, title = {Activity-Based User Modeling in Wireless Networks}, journal = {Mobile Networks and Applications}, year = {2006}, volume = {11}, pages = {267 - 277}, number = {2}, month = {March}, abstract = {Wireless network research still lacksmethods to evaluate the performance that can be expected from application layer protocols. User behavior is the predominant factor affecting network performance on this layer. It has two aspects: user mobility and user network usage. These aspects are not orthogonal, but highly correlated: a user’s mobility pattern will influence her usage of the network. Existing approaches, however, reduce the modeling of user behavior to analytical mobility models and network traffic models, thereby separating these intertwined parameters. This paper demonstrates how the use of an integrated view based on the users’ real-world activity can explain network-relevant parameters both with respect to mobility and to network usage and thereby allows a more natural modeling of user behavior. The evaluation within a campus scenario shows that such an activity based model captures the motion and service usage much more realistically than existing models.}, } |