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

Distributed Clustering Algorithms for Lossy 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)
Zhexi Pan ; Dept. of Electr. & Comput. Eng., Stony Brook Univ., Stony Brook, NY, USA ; Yuanyuan Yang ; Dawei Gong

Recent experimental studies have revealed that a large percentage of wireless links are lossy and unreliable for data delivery in wireless sensor networks (WSNs). Such findings raise new challenges for the design of clustering algorithms in WSNs in terms of data reliability and energy efficiency. In this paper, we propose distributed clustering algorithms for WSNs by taking into account of the lossy nature of wireless links. We first formulate the one-hop clustering problem that maintains reliability as well as saves energy into an integer program and prove its NP-hardness. We then propose a metric-based distributed clustering algorithm to solve the problem. We adopt a metric called selection weight for each sensor node that can indicate both link qualities around the node and its capability of being a cluster head. We further extend the algorithm to multi-hop clustering to achieve better scalability. Extensive simulations have been conducted under a realistic link model and the results demonstrate that the proposed clustering algorithm can reduce the total energy consumption in the network and prolong network lifetime significantly compared to a typical distributed clustering algorithm, HEED, that does not consider lossy links.

Published in:

Network Computing and Applications (NCA), 2010 9th IEEE International Symposium on

Date of Conference:

15-17 July 2010

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.