Abstract
In this paper, an energy-efficient data disemination protocol designed for mobile sink applications in sensor networks, is proposed. The dissemination scheme exploits the Distributed Dynamic Tree (DDT), which is able to identity current location sinks locally and dynamically transform the tree shape according to sink movement. In addition, the Dynamic Shared Tree(DST), which is an extension of the DDT, is presented. The DST is able to accomocate multiple mobile sinks. The DST, based on the DDT, creates a two-tired network composed of a sensor data dissemination level and communication level between sinks. The simulation results demonstrate that the DST performs considerably energyefficient data dissemination with relatively low delay, compared to other dissemination protocols.
| 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 | 32-45 |
| Number of pages | 14 |
| Volume | 4104 LNCS |
| Publication status | Published - 2006 Oct 17 |
| Event | 5th International Conference on Ad-Hoc, Mobile, and Wireless Networks, ADHOC-NOW 2006 - Ottawa, Canada Duration: 2006 Aug 17 → 2006 Aug 19 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 4104 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 5th International Conference on Ad-Hoc, Mobile, and Wireless Networks, ADHOC-NOW 2006 |
|---|---|
| Country | Canada |
| City | Ottawa |
| Period | 06/8/17 → 06/8/19 |
Fingerprint
ASJC Scopus subject areas
- Biochemistry, Genetics and Molecular Biology(all)
- Computer Science(all)
- Theoretical Computer Science
Cite this
Energy-efficient data dissemination in sensor networks using distributed dynamic tree management. / Hwang, Kwang I.; Eom, Doo-Seop.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4104 LNCS 2006. p. 32-45 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4104 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Energy-efficient data dissemination in sensor networks using distributed dynamic tree management
AU - Hwang, Kwang I.
AU - Eom, Doo-Seop
PY - 2006/10/17
Y1 - 2006/10/17
N2 - In this paper, an energy-efficient data disemination protocol designed for mobile sink applications in sensor networks, is proposed. The dissemination scheme exploits the Distributed Dynamic Tree (DDT), which is able to identity current location sinks locally and dynamically transform the tree shape according to sink movement. In addition, the Dynamic Shared Tree(DST), which is an extension of the DDT, is presented. The DST is able to accomocate multiple mobile sinks. The DST, based on the DDT, creates a two-tired network composed of a sensor data dissemination level and communication level between sinks. The simulation results demonstrate that the DST performs considerably energyefficient data dissemination with relatively low delay, compared to other dissemination protocols.
AB - In this paper, an energy-efficient data disemination protocol designed for mobile sink applications in sensor networks, is proposed. The dissemination scheme exploits the Distributed Dynamic Tree (DDT), which is able to identity current location sinks locally and dynamically transform the tree shape according to sink movement. In addition, the Dynamic Shared Tree(DST), which is an extension of the DDT, is presented. The DST is able to accomocate multiple mobile sinks. The DST, based on the DDT, creates a two-tired network composed of a sensor data dissemination level and communication level between sinks. The simulation results demonstrate that the DST performs considerably energyefficient data dissemination with relatively low delay, compared to other dissemination protocols.
UR - http://www.scopus.com/inward/record.url?scp=33749594254&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33749594254&partnerID=8YFLogxK
M3 - Conference contribution
SN - 3540372466
SN - 9783540372462
VL - 4104 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 32
EP - 45
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -