Event-driven power management for wireless sensor networks

Sang Hoon Lee; Byong Ha Cho; Lynn Choi; Sun Joong Kim

doi:10.1007/978-3-540-75664-4_44

Event-driven power management for wireless sensor networks

Sang Hoon Lee, Byong Ha Cho, Lynn Choi, Sun Joong Kim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

In this paper we propose event-driven power management techniques for wireless sensor networks. To accomplish this we model a sensor network application as a set of application-specific events that the application may contain. Events are first classified into scheduled and non-scheduled events. These events are further classified according to the size and the locality of the data, and the real-time characteristics of the event. For scheduled events we propose schedule-driven power control and global coordination. For non-scheduled events we propose source-driven and sink-driven power control for both lower energy consumption and higher performance. Experimentation results confirm that the event driven power management can substantially save energy compared to existing low energy sensor network protocols while it can meet the performance required by the application.

Original language	English
Title of host publication	Software Technologies for Embedded and Ubiquitous Systems - 5th IFIP WG 10.2 International Workshop, SEUS 2007, Revised Papers
Editors	Roman Obermaisser, Peter Puschner, Yunmook Nah, Peter Rammig
Publisher	Springer Verlag
Pages	419-428
Number of pages	10
ISBN (Print)	9783540756637
DOIs	https://doi.org/10.1007/978-3-540-75664-4_44
Publication status	Published - 2007
Event	5th IFIP WG 10.2 International Workshop on Software Technologies for Embedded and Ubiquitous Systems, SEUS 2007 - Santorini Island, Greece Duration: 2007 May 7 → 2007 May 8

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4761 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	5th IFIP WG 10.2 International Workshop on Software Technologies for Embedded and Ubiquitous Systems, SEUS 2007
Country/Territory	Greece
City	Santorini Island
Period	07/5/7 → 07/5/8

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-540-75664-4_44

Cite this

Lee, S. H., Cho, B. H., Choi, L., & Kim, S. J. (2007). Event-driven power management for wireless sensor networks. In R. Obermaisser, P. Puschner, Y. Nah, & P. Rammig (Eds.), Software Technologies for Embedded and Ubiquitous Systems - 5th IFIP WG 10.2 International Workshop, SEUS 2007, Revised Papers (pp. 419-428). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4761 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-75664-4_44

Event-driven power management for wireless sensor networks. / Lee, Sang Hoon; Cho, Byong Ha; Choi, Lynn et al.
Software Technologies for Embedded and Ubiquitous Systems - 5th IFIP WG 10.2 International Workshop, SEUS 2007, Revised Papers. ed. / Roman Obermaisser; Peter Puschner; Yunmook Nah; Peter Rammig. Springer Verlag, 2007. p. 419-428 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4761 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lee, SH, Cho, BH, Choi, L & Kim, SJ 2007, Event-driven power management for wireless sensor networks. in R Obermaisser, P Puschner, Y Nah & P Rammig (eds), Software Technologies for Embedded and Ubiquitous Systems - 5th IFIP WG 10.2 International Workshop, SEUS 2007, Revised Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4761 LNCS, Springer Verlag, pp. 419-428, 5th IFIP WG 10.2 International Workshop on Software Technologies for Embedded and Ubiquitous Systems, SEUS 2007, Santorini Island, Greece, 07/5/7. https://doi.org/10.1007/978-3-540-75664-4_44

Lee SH, Cho BH, Choi L, Kim SJ. Event-driven power management for wireless sensor networks. In Obermaisser R, Puschner P, Nah Y, Rammig P, editors, Software Technologies for Embedded and Ubiquitous Systems - 5th IFIP WG 10.2 International Workshop, SEUS 2007, Revised Papers. Springer Verlag. 2007. p. 419-428. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-75664-4_44

Lee, Sang Hoon ; Cho, Byong Ha ; Choi, Lynn et al. / Event-driven power management for wireless sensor networks. Software Technologies for Embedded and Ubiquitous Systems - 5th IFIP WG 10.2 International Workshop, SEUS 2007, Revised Papers. editor / Roman Obermaisser ; Peter Puschner ; Yunmook Nah ; Peter Rammig. Springer Verlag, 2007. pp. 419-428 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{4c01cf94a6964467b0df8afe2c860993,

title = "Event-driven power management for wireless sensor networks",

abstract = "In this paper we propose event-driven power management techniques for wireless sensor networks. To accomplish this we model a sensor network application as a set of application-specific events that the application may contain. Events are first classified into scheduled and non-scheduled events. These events are further classified according to the size and the locality of the data, and the real-time characteristics of the event. For scheduled events we propose schedule-driven power control and global coordination. For non-scheduled events we propose source-driven and sink-driven power control for both lower energy consumption and higher performance. Experimentation results confirm that the event driven power management can substantially save energy compared to existing low energy sensor network protocols while it can meet the performance required by the application.",

author = "Lee, {Sang Hoon} and Cho, {Byong Ha} and Lynn Choi and Kim, {Sun Joong}",

note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 5th IFIP WG 10.2 International Workshop on Software Technologies for Embedded and Ubiquitous Systems, SEUS 2007 ; Conference date: 07-05-2007 Through 08-05-2007",

year = "2007",

doi = "10.1007/978-3-540-75664-4_44",

language = "English",

isbn = "9783540756637",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "419--428",

editor = "Roman Obermaisser and Peter Puschner and Yunmook Nah and Peter Rammig",

booktitle = "Software Technologies for Embedded and Ubiquitous Systems - 5th IFIP WG 10.2 International Workshop, SEUS 2007, Revised Papers",

}

TY - GEN

T1 - Event-driven power management for wireless sensor networks

AU - Lee, Sang Hoon

AU - Cho, Byong Ha

AU - Choi, Lynn

AU - Kim, Sun Joong

PY - 2007

Y1 - 2007

N2 - In this paper we propose event-driven power management techniques for wireless sensor networks. To accomplish this we model a sensor network application as a set of application-specific events that the application may contain. Events are first classified into scheduled and non-scheduled events. These events are further classified according to the size and the locality of the data, and the real-time characteristics of the event. For scheduled events we propose schedule-driven power control and global coordination. For non-scheduled events we propose source-driven and sink-driven power control for both lower energy consumption and higher performance. Experimentation results confirm that the event driven power management can substantially save energy compared to existing low energy sensor network protocols while it can meet the performance required by the application.

AB - In this paper we propose event-driven power management techniques for wireless sensor networks. To accomplish this we model a sensor network application as a set of application-specific events that the application may contain. Events are first classified into scheduled and non-scheduled events. These events are further classified according to the size and the locality of the data, and the real-time characteristics of the event. For scheduled events we propose schedule-driven power control and global coordination. For non-scheduled events we propose source-driven and sink-driven power control for both lower energy consumption and higher performance. Experimentation results confirm that the event driven power management can substantially save energy compared to existing low energy sensor network protocols while it can meet the performance required by the application.

UR - http://www.scopus.com/inward/record.url?scp=38149029104&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=38149029104&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-75664-4_44

DO - 10.1007/978-3-540-75664-4_44

M3 - Conference contribution

AN - SCOPUS:38149029104

SN - 9783540756637

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 419

EP - 428

BT - Software Technologies for Embedded and Ubiquitous Systems - 5th IFIP WG 10.2 International Workshop, SEUS 2007, Revised Papers

A2 - Obermaisser, Roman

A2 - Puschner, Peter

A2 - Nah, Yunmook

A2 - Rammig, Peter

PB - Springer Verlag

T2 - 5th IFIP WG 10.2 International Workshop on Software Technologies for Embedded and Ubiquitous Systems, SEUS 2007

Y2 - 7 May 2007 through 8 May 2007

ER -

Event-driven power management for wireless sensor networks

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this