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

Network Connectivity under Probabilistic Communication Models 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

2 Author(s)
Hefeeda, M. ; Simon Fraser Univ., Surrey ; Ahmadi, H.

Several previous works have experimentally shown that communication ranges of sensors are not regular disks. Rather, they follow probabilistic models. Yet, many current connectivity maintenance protocols assume the disk communication model for convenience and ease of analysis. In addition, current protocols do not provide any assessment of the quality of communication between nodes. In this paper, we take a first step in designing connectivity maintenance protocols for more realistic communication models. We propose a distributed connectivity maintenance protocol that explicitly accounts for the probabilistic nature of communication links and achieves a given target communication quality between nodes. Our protocol is simple to implement, and we demonstrate its robustness against random node failures, inaccuracy of node locations, and imperfect time synchronization of nodes using extensive simulations. We compare our protocol against others in the literature and show that it activates fewer number of nodes, consumes much less energy, and significantly prolongs the network lifetime.

Published in:

Mobile Adhoc and Sensor Systems, 2007. MASS 2007. IEEE Internatonal Conference on

Date of Conference:

8-11 Oct. 2007

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.