Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Wireless Networks
Erschienen in: Wireless Networks 1/2014

01.01.2014

Dynamic Data-Centric Storage for long-term storage in Wireless Sensor and Actor Networks

verfasst von: Ángel Cuevas, Manuel Urueña, Gustavo de Veciana, Rubén Cuevas, Noël Crespi

Erschienen in: Wireless Networks | Ausgabe 1/2014

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Data-Centric Storage (DCS) appears as a novel information storage and delivery mechanism for Wireless Sensor and Actor Networks in which a rendezvous node (home node) is selected to store and serve all the information of a particular application. However, DCS was not designed to provide long-term data availability. In this paper we present a Dynamic DCS solution to enable a long-term storage system. Dynamic DCS proposes to periodically change home nodes over the time based on periods of fixed duration called epochs. This makes it possible to perform temporal queries to previous home nodes in order to retrieve information from the past. We evaluate our proposal using extensive simulations, and reveal that Dynamic DCS makes sensor events available at least 85 % of the maximum lifetime provided by an optimal (but non practical) solution. Finally, we show that Dynamic DCS could easily adapt its storage performance to the requirements of an application by just tuning the epoch duration.
Vorheriger Artikel Analysis of F-shape microstrip line fed dualband antenna for WLAN applications
Nächster Artikel Multi-Spreader Routing for sparsely populated mobile ad hoc networks

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
Ahn, J., & Krishnamachari, B. (2006). Fundamental scaling laws for energy-efficient storage and querying in wireless sensor networks. In Proceedings of ACM international Symposium on mobile ad hoc networking and computing, MobiHoc ’06 (pp. 334–343). New York, NY, USA: ACM.
2.
Akyildiz, I. F., & Kasimoglu, I. H. (2004). Wireless sensor and actor networks: Research challenges. Ad Hoc Networks, 2(4):351–367.CrossRef
3.
Albano, M., & Chessa, S. (2009). Distributed erasure coding in data centric storage for wireless sensor networks. In IEEE Symposium on. computers and communications, ISCC ’09 (pp. 22–27). Sousse, Tunisia, 5–8 July, IEEE.
4.
Cuevas, Á., Urueña, M., & de Veciana, G. (2010). Dynamic random replication for data centric storage. In Proceedings of the 13th ACM international conference on modeling, analysis, and simulation of wireless and mobile systems, MSWIM ’10 (pp. 393–402). New York, NY, USA: ACM.
5.
Dimakis, A. G., Prabhakaran, V., Ramchandran, K. (2006). Decentralized erasure codes for distributed networked storage. In IEEE/ACM transactions on networking 14(1), 2809–2816.
6.
Ghose, A., Grossklags, J., & Chuang, J. (2003). Resilient data-centric storage in wireless ad-hoc sensor networks. In Proceedings of the 4th international conference on mobile data management, MDM ’03 (pp. 45–62) London, UK: Springer.
7.
Joung, Y.-J., & Huang, S.-H. (2008). Tug-of-war: An adaptive and cost-optimal data storage and query mechanism in wireless sensor networks. In Proceedings of the 4th IEEE international conference on distributed computing in sensor systems, DCOSS ’08 (pp. 237–251). Berlin, Heidelberg: Springer.
8.
Karp, B., & Kung, H. T. (2000). GPSR: Greedy perimeter stateless routing for wireless networks. In Proceedings of the sixth annual international conference on Mobile computing and networking, Mobicom ’00 (pp. 243–254). New York, NY, USA: ACM.
9.
Le, T. N., Yu, W., Bai, X., & Xuan, D. (2006). A dynamic geographic hash table for data-centric storage in sensor networks. In IEEE wireless communications and networking conference, WCNC ’06 (pp. 2168–2174). New York, NY, USA: IEEE.
10.
Liao, W.-H., Shih, K.-P., & Wu, W.-C. (2010). A grid-based dynamic load balancing approach for data-centric storage in wireless sensor networks. Computer and Electrical Engineering 36(1), 19–30.CrossRefMATH
11.
Mainwaring, A., Culler, D., Polastre, J., Szewczyk, R., & Anderson, J. (2002). Wireless sensor networks for habitat monitoring. In Proceedings of the 1st ACM international workshop on wireless sensor networks and applications, WSNA ’02 (pp. 78–87). New York, NY, USA: ACM.
12.
Matese, A., Di Gennaro, S. F., Zaldei, A., Genesio, L., & Vaccari, F. P. (2009). A wireless sensor network for precision viticulture: The NAV system. Computers and Electronics in Agriculture, 69(1), 51–58.CrossRef
13.
Mazzini, G., Conti, A., Verdone, R., & Dardari, D. (2008). Wireless sensor and actuator networks. Amsterdam: Elsevier.
14.
Ming, X., Yabo, D., Dongming, L., Ping, X., & Gang, L. (2008). A wireless sensor system for long-term microclimate monitoring in wildland cultural heritage sites. In IEEE international Symposium on parallel and distributed processing with applications, ISPA ’08 (pp. 207–214). IEEE.
15.
Ratnasamy, S., Karp, B., Yin, L., Yu, F., Estrin, D., Govindan, R., et al. (2002). GHT: A geographic hash table for data-centric storage. In Proceedings of the 1st ACM international workshop on wireless sensor networks and applications, WSNA ’02 (pp. 78–87). New York, NY, USA: ACM.
16.
Shenker, S., Ratnasamy, S., Karp, B., Govindan, R., & Estrin, D. (2003). Data-centric storage in sensornets. SIGCOMM Computer Communication Review 33(1), 137–142.CrossRef
Metadaten
Titel
Dynamic Data-Centric Storage for long-term storage in Wireless Sensor and Actor Networks
verfasst von
Ángel Cuevas
Manuel Urueña
Gustavo de Veciana
Rubén Cuevas
Noël Crespi
Publikationsdatum
01.01.2014
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 1/2014
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-013-0598-5

Weitere Artikel der Ausgabe 1/2014

Wireless Networks 1/2014 Zur Ausgabe

OriginalPaper

Joint multi-radio multi-channel assignment, scheduling, and routing in wireless mesh networks

OriginalPaper

Deadline-aware scheduling of cooperative relayers in TDMA-based wireless industrial networks

OriginalPaper

Performance modeling of DTN routing with heterogeneous and selfish nodes

OriginalPaper

An experimental study of small multi-hop wireless networks using chirp spread spectrum

OriginalPaper

Analysis of F-shape microstrip line fed dualband antenna for WLAN applications

OriginalPaper

Opportunistic call admission control for wireless broadband cognitive networks

Neuer Inhalt

    Bildnachweise