Performance Evaluation of Page Migration Scheme for NVRAM-Based Wireless Sensor Nodes
Author
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2013, Issue - (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-26
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
A wireless sensor network consists of low-powered and multifunctional sensor nodes.
Since each sensor node is operated by a battery, the energy management has become one of the critical design challenges in wireless sensor networks.
Some recent studies have shown that DRAM-based main memory spends a significant portion of the total system power.
In this paper, we studied a buffer management scheme for hybrid main memory that combines low-power nonvolatile RAM (NVRAM) and DRAM in order to reduce the energy consumption in a sensor node.
Though NVRAMs consume less power than volatile memories, they have common problems in write performance.
The proposed scheme employs the page migration technique in order to reduce the write operations on NVRAM part of hybrid main memory.
We have performed simulation studies and showed that the proposed page migration scheme outperforms the legacy buffer management schemes in terms of the number of write operations on NVRAM.
American Psychological Association (APA)
Ryu, Yeonseung. 2013. Performance Evaluation of Page Migration Scheme for NVRAM-Based Wireless Sensor Nodes. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-7.
https://search.emarefa.net/detail/BIM-459712
Modern Language Association (MLA)
Ryu, Yeonseung. Performance Evaluation of Page Migration Scheme for NVRAM-Based Wireless Sensor Nodes. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-459712
American Medical Association (AMA)
Ryu, Yeonseung. Performance Evaluation of Page Migration Scheme for NVRAM-Based Wireless Sensor Nodes. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-7.
https://search.emarefa.net/detail/BIM-459712
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-459712