Institutional Login
Welcome!
To use the personalized features of this site, please
log in
or
register
.
If you have forgotten your username or password, we can
help
.
My Menu
Marked Items
Alerts
Order History
Saved Items
All
Favorites
Content Types
All
Publications
Journals
Book Series
Books
Reference Works
Protocols
Subject Collections
Architecture and Design
Behavioral Science
Biomedical and Life Sciences
Business and Economics
Chemistry and Materials Science
Computer Science
Earth and Environmental Science
Engineering
Humanities, Social Sciences and Law
Mathematics and Statistics
Medicine
Physics and Astronomy
Professional and Applied Computing
中文(简体)
中文(繁體)
English
Deutsch
한국어
日本語
Français
Español
العربية
Русский
Book Chapter
Distributed Energy-Efficient Hierarchical Clustering for Wireless Sensor Networks
Book Series
Lecture Notes in Computer Science
Publisher
Springer Berlin / Heidelberg
ISSN
0302-9743 (Print) 1611-3349 (Online)
Volume
Volume 3560/2005
Book
Distributed Computing in Sensor Systems
DOI
10.1007/b137498
Copyright
2005
ISBN
978-3-540-26422-4
Category
Regular Papers
DOI
10.1007/11502593_25
Pages
322-339
Subject Collection
Computer Science
SpringerLink Date
Friday, July 29, 2005
Add to marked items
Add to shopping cart
Add to saved items
Permissions & Reprints
Recommend this chapter
PDF (270.6 KB)
Free Preview
Regular Papers
Distributed Energy-Efficient Hierarchical Clustering for Wireless Sensor Networks
Ping Ding
1
, JoAnne Holliday
1
and Aslihan Celik
1
(1)
Santa Clara University,
Abstract
Since nodes in a sensor network have limited energy, prolonging the network lifetime and improving scalability become important. In this paper, we propose a distributed weight-based energy-efficient hierarchical clustering protocol (DWEHC). Each node first locates its neighbors (in its enclosure region), then calculates its weight which is based on its residual energy and distance to its neighbors. The largest weight node in a neighborhood may become a clusterhead. Neighboring nodes will then join the clusterhead hierarchy. The clustering process terminates in O(1) iterations, and does not depend on network topology or size. Simulations show that DWEHC clusters have good performance characteristics.
Ping
Ding
Email:
pding@scu.edu
JoAnne
Holliday
Email:
jholliday@scu.edu
Aslihan
Celik
Email:
acelik@scu.edu
Fulltext Preview (Small,
Large
)
more options
Find
Query Builder
Close
|
Clear
Title (ti)
Summary (su)
Author (au)
ISSN (issn)
ISBN (isbn)
DOI (doi)
And
Or
Not
(
)
* (wildcard)
"" (exact)
Within all content
Within this book series
Within this book
Export this chapter
Export this chapter as
RIS
|
Text
Frequently asked questions
|
General information on journals and books
|
Send us your feedback
|
Impressum
|
Contact
© Springer.
Part of Springer Science+Business Media
Privacy, Disclaimer, Terms and Conditions, © Copyright Information
MetaPress Privacy Policy
Remote Address: 38.107.191.112 • Server: mpweb23
HTTP User Agent: CCBot/1.0 (+http://www.commoncrawl.org/bot.html)