We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Wireless sensor network analysis through a coalitional game: Application to a distributed Kalman filter

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

3 Author(s)

The number of applications in which wireless communication networks are used has grown enormously during the last two decades. Issues such as the communicational burden of the different distributed architectures play a very important role because of their impact on the energy consumption of the devices that compose the network. In this paper we propose to study the underlying properties of a wireless sensor network in which a set of agents switch between different communication strategies in order to estimate their states while minimizing communicational costs. The problems of how to decide the communication strategy, share the benefits/costs and detect which are the most critical links in the network are solved using tools from game theory. The proposed scheme is demonstrated through a simulation example.

Published in:

Networking, Sensing and Control (ICNSC), 2011 IEEE International Conference on

Date of Conference:

11-13 April 2011