Cart (Loading....) | Create Account
Close category search window
 

Distributed adaptive spanning tree for data gathering in 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
$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)
Poostchi, H. ; Center of Excellence on Soft Comput. & Intell. Inf. Process., Ferdowsi Univ. of Mashhad, Mashhad, Iran ; Akbarzadeh-T, M.-R. ; Taheri, S.M.

Wireless Sensor Networks (WSNs) consist of many independent sensor/processing elements that are highly interactive to reach a unifying goal. Providing a suitable infrastructure for this interaction is the first step to support intra-network processing. Such underlying infrastructure should also scale well with network properties, prolong the network life and balance the load among sensors as much as possible. In this paper, we propose a novel distributed adaptive spanning tree based on Markov property interpretation in WSNs that not only enables consensus processing, but also improves network performance. The tree is constructed using a new energy efficient coverage cost and distributed Voronoi Tessellation. The utility of the proposed approach is illustrated by applying this interaction architecture for data gathering tasks in WSNs.

Published in:

Parallel Distributed and Grid Computing (PDGC), 2012 2nd IEEE International Conference on

Date of Conference:

6-8 Dec. 2012

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.