Abstract
A wireless sensor network consists of many micro-sensor nodes distributed throughout an area of interest. Each node has a limited energy supply and generates information that needs to be communicated to a sink node. The basic operation in such a network is the systematic gathering and transmission of sensed data to a base station for further processing. During data gathering, sensors have the ability to perform in-network aggregation (fusion) of data packet routes to the base station. The lifetime of such a sensor system can be defined as the time during which the sensor information is gathered from all of the sensors and combined at the base station. Given the location of the sensors, the base station and the available energy at each sensor, the main interest is to find an efficient manner in which data can be collected from the sensors and transmitted to the base station at a given rate, so as to maximize the system lifetime. A zone based data aggregation scheduling scheme is presented to accomplish this. The experimental results demonstrate that the proposed protocol significantly outperforms other methods in terms of the energy saving and system lifetime.1
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 456-465 |
| Number of pages | 10 |
| Volume | 4658 LNCS |
| Publication status | Published - 2007 Dec 1 |
| Event | 1st International Conference on Network-Based Information Systems, NBiS 2007 - Regensburg, Germany Duration: 2007 Sep 3 → 2007 Sep 7 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 4658 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 1st International Conference on Network-Based Information Systems, NBiS 2007 |
|---|---|
| Country | Germany |
| City | Regensburg |
| Period | 07/9/3 → 07/9/7 |
Fingerprint
Keywords
- Data aggregation
- Maximum network lifetime
- Scheduing spatial correlation
- Wireless sensor networks
- Zone
ASJC Scopus subject areas
- Biochemistry, Genetics and Molecular Biology(all)
- Computer Science(all)
- Theoretical Computer Science
Cite this
Spatial correlation code based data aggregation scheme for maximizing network lifetime. / Lee, Sang Bin; Younghwan, Jung; Woojin, Park; An, Sun-Shin.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4658 LNCS 2007. p. 456-465 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4658 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Spatial correlation code based data aggregation scheme for maximizing network lifetime
AU - Lee, Sang Bin
AU - Younghwan, Jung
AU - Woojin, Park
AU - An, Sun-Shin
PY - 2007/12/1
Y1 - 2007/12/1
N2 - A wireless sensor network consists of many micro-sensor nodes distributed throughout an area of interest. Each node has a limited energy supply and generates information that needs to be communicated to a sink node. The basic operation in such a network is the systematic gathering and transmission of sensed data to a base station for further processing. During data gathering, sensors have the ability to perform in-network aggregation (fusion) of data packet routes to the base station. The lifetime of such a sensor system can be defined as the time during which the sensor information is gathered from all of the sensors and combined at the base station. Given the location of the sensors, the base station and the available energy at each sensor, the main interest is to find an efficient manner in which data can be collected from the sensors and transmitted to the base station at a given rate, so as to maximize the system lifetime. A zone based data aggregation scheduling scheme is presented to accomplish this. The experimental results demonstrate that the proposed protocol significantly outperforms other methods in terms of the energy saving and system lifetime.1
AB - A wireless sensor network consists of many micro-sensor nodes distributed throughout an area of interest. Each node has a limited energy supply and generates information that needs to be communicated to a sink node. The basic operation in such a network is the systematic gathering and transmission of sensed data to a base station for further processing. During data gathering, sensors have the ability to perform in-network aggregation (fusion) of data packet routes to the base station. The lifetime of such a sensor system can be defined as the time during which the sensor information is gathered from all of the sensors and combined at the base station. Given the location of the sensors, the base station and the available energy at each sensor, the main interest is to find an efficient manner in which data can be collected from the sensors and transmitted to the base station at a given rate, so as to maximize the system lifetime. A zone based data aggregation scheduling scheme is presented to accomplish this. The experimental results demonstrate that the proposed protocol significantly outperforms other methods in terms of the energy saving and system lifetime.1
KW - Data aggregation
KW - Maximum network lifetime
KW - Scheduing spatial correlation
KW - Wireless sensor networks
KW - Zone
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UR - http://www.scopus.com/inward/citedby.url?scp=38049008942&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:38049008942
SN - 9783540745723
VL - 4658 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 456
EP - 465
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -