A Self-Organized and Smart-Adaptive Clustering and Routing Approach for Wireless Sensor Networks
Joint Authors
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-01-12
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Electronic engineering
Information Technology and Computer Science
Topics
Abstract EN
Efficient energy consumption is a critical factor for the deployment and operation of wireless sensor networks (WSNs).
In general, WSNs perform clustering and routing using localized neighbor information only.
Therefore, some studies have used self-organized systems and smart mechanisms as research methods.
In this paper, we propose a self-organized and smart-adaptive clustering (SOSAC) and routing method, which performs clustering in WSNs, operates the formed clusters in a smart-adaptive way, and performs cluster-based routing.
SOSAC is comprised of three mechanisms, which are used to change the fitness value over time, to back up routing information in preparation for any potential breakdown in WSNs, and to adapt to the changes of the number of sensor nodes for a WSN.
We compared the performance of the proposed SOSAC with that of a well-known clustering and routing protocol for WSNs.
Our computational experiments demonstrate that the network lifetime, energy consumption, and scalability of SOSAC are better than those of the compared method.
American Psychological Association (APA)
Lee, Kyuhong& Lee, Heesang. 2012. A Self-Organized and Smart-Adaptive Clustering and Routing Approach for Wireless Sensor Networks. International Journal of Distributed Sensor Networks،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-450253
Modern Language Association (MLA)
Lee, Kyuhong& Lee, Heesang. A Self-Organized and Smart-Adaptive Clustering and Routing Approach for Wireless Sensor Networks. International Journal of Distributed Sensor Networks No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-450253
American Medical Association (AMA)
Lee, Kyuhong& Lee, Heesang. A Self-Organized and Smart-Adaptive Clustering and Routing Approach for Wireless Sensor Networks. International Journal of Distributed Sensor Networks. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-450253
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-450253