Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Evolutionary Game Theoretical Approach for IR-UWB Sensor Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Perez-Guirao, M.D. ; Inst. of Commun. Technol., Leibniz Univ. Hannover, Hannover ; Luebben, R. ; Kaiser, T. ; Jobmann, K.

Game theory is a broadly accepted tool for resource optimization in cognitive radio networks. By modeling a resource management problem as a game, some aspects of a real-world implementation have to be relaxed. For instance, the number of players in a game is conventionally assumed constant but in real networks it changes over time. Furthermore, the available computing power of wireless sensor nodes is limited because of energy and simple hardware constraints. Hence, games require utility functions with low complexity. In this paper, some aspects of evolutionary game theory are borrowed to address these issues. Our approach results in a simple algorithm, which avoids theoretical modeling aspects not hold in real world applications.

Published in:

Communications Workshops, 2008. ICC Workshops '08. IEEE International Conference on

Date of Conference:

19-23 May 2008