By Topic

A game theoretic approach for resource allocation in Cognitive Wireless 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
$33 $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

2 Author(s)
Chatura Seneviratne ; Department of Electrical and Computer Engineering, University of Calgary, Canada ; Henry Leung

Game theoretic adaptive algorithms can be successfully applied for distributed intelligent Cognitive Wireless Sensor Networks (CWSNs). The use of these algorithms avoids weaknesses of centralized CWSNs. In this paper, a noncooperative spectrum sharing game theoretic approach for CWSNs is proposed to determine the optimum spectrum demand. The main objectives of this approach are improving the flexibility, efficiency and fairness in spectrum allocation with guaranteed sum data rates. We introduce a rewarding scheme in this approach to promote the communication of the sensor nodes that have good channel qualities and residual power levels. Then we analyze the existence and the uniqueness of the Nash Equilibrium. The simulation results show that the energy efficiency of our method is higher than the traditional uniform Time Division Multiplexing (TDMA - Uniform) approach and traditional TDMA approach that depends on channel (TDMA - Channel Based).

Published in:

Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on

Date of Conference:

9-12 Oct. 2011