Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Trends in Network and Pervasive Computing |
| Untertitel | ARCS 2002 |
| Herausgeber/-innen | Hartmut Schmeck, Theo Ungerer, Lars Wolf |
| Herausgeber (Verlag) | Springer Verlag |
| Seiten | 256-273 |
| Seitenumfang | 18 |
| ISBN (elektronisch) | 9783540459972 |
| ISBN (Print) | 3540434097, 9783540434092 |
| Publikationsstatus | Veröffentlicht - 28 März 2002 |
| Extern publiziert | Ja |
| Veranstaltung | International Conference on Architecture of Computing Systems, ARCS 2002 - Karlsruhe, Deutschland Dauer: 8 Apr. 2002 → 12 Apr. 2002 |
Publikationsreihe
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Band | 2299 |
| ISSN (Print) | 0302-9743 |
| ISSN (elektronisch) | 1611-3349 |
Abstract
Communication platforms for ubiquitous computing need to be flexible, self-organizing, highly scalable and energy efficient, because in the envisioned scenarios a large number of autonomous entities communicate in potentially unpredictable ways. Short-range wireless technologies form the basis of such communication platforms. In this paper we investigate device discovery in Bluetooth, a candidate wireless technology for ubiquitous computing. Detecting new devices accounts for a significant portion of the total energy consumption in Bluetooth. It is argued that the standard Bluetooth rendezvous protocols for device detection are not well suited for ubiquitous computing scenarios, because they do not scale to a large number of devices, take too long to complete, and consume too much energy. Based on theoretical considerations, practical experiments and simulation results, recommendations for choosing inquiry parameters that optimize discovery performance are given. We propose an adaptive rendezvous protocol that significantly increases the performance of the inquiry procedure by implementing cooperative device discovery. Also higher level methods to optimize discovery performance, specifically the use of sensory data and context information, are considered.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
- Allgemeine Computerwissenschaft
Ziele für nachhaltige Entwicklung
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
Trends in Network and Pervasive Computing: ARCS 2002. Hrsg. / Hartmut Schmeck; Theo Ungerer; Lars Wolf. Springer Verlag, 2002. S. 256-273 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 2299).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Rendezvous Layer Protocols for Bluetooth-Enabled Smart Devices
AU - Siegemund, Frank
AU - Rohs, Michael
N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2002. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2002/3/28
Y1 - 2002/3/28
N2 - Communication platforms for ubiquitous computing need to be flexible, self-organizing, highly scalable and energy efficient, because in the envisioned scenarios a large number of autonomous entities communicate in potentially unpredictable ways. Short-range wireless technologies form the basis of such communication platforms. In this paper we investigate device discovery in Bluetooth, a candidate wireless technology for ubiquitous computing. Detecting new devices accounts for a significant portion of the total energy consumption in Bluetooth. It is argued that the standard Bluetooth rendezvous protocols for device detection are not well suited for ubiquitous computing scenarios, because they do not scale to a large number of devices, take too long to complete, and consume too much energy. Based on theoretical considerations, practical experiments and simulation results, recommendations for choosing inquiry parameters that optimize discovery performance are given. We propose an adaptive rendezvous protocol that significantly increases the performance of the inquiry procedure by implementing cooperative device discovery. Also higher level methods to optimize discovery performance, specifically the use of sensory data and context information, are considered.
AB - Communication platforms for ubiquitous computing need to be flexible, self-organizing, highly scalable and energy efficient, because in the envisioned scenarios a large number of autonomous entities communicate in potentially unpredictable ways. Short-range wireless technologies form the basis of such communication platforms. In this paper we investigate device discovery in Bluetooth, a candidate wireless technology for ubiquitous computing. Detecting new devices accounts for a significant portion of the total energy consumption in Bluetooth. It is argued that the standard Bluetooth rendezvous protocols for device detection are not well suited for ubiquitous computing scenarios, because they do not scale to a large number of devices, take too long to complete, and consume too much energy. Based on theoretical considerations, practical experiments and simulation results, recommendations for choosing inquiry parameters that optimize discovery performance are given. We propose an adaptive rendezvous protocol that significantly increases the performance of the inquiry procedure by implementing cooperative device discovery. Also higher level methods to optimize discovery performance, specifically the use of sensory data and context information, are considered.
UR - http://www.scopus.com/inward/record.url?scp=84947295255&partnerID=8YFLogxK
U2 - 10.1007/3-540-45997-9_19
DO - 10.1007/3-540-45997-9_19
M3 - Conference contribution
AN - SCOPUS:84947295255
SN - 3540434097
SN - 9783540434092
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 256
EP - 273
BT - Trends in Network and Pervasive Computing
A2 - Schmeck, Hartmut
A2 - Ungerer, Theo
A2 - Wolf, Lars
PB - Springer Verlag
T2 - International Conference on Architecture of Computing Systems, ARCS 2002
Y2 - 8 April 2002 through 12 April 2002
ER -