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 Personal Communications
Erschienen in: Wireless Personal Communications 2/2014

01.05.2014

Hierarchical Architecture for Multi-Technology Wireless Sensor Networks for Critical Infrastructure Protection

verfasst von: Heikki Karvonen, Jukka Suhonen, Juha Petäjäjärvi, Matti Hämäläinen, Marko Hännikäinen, Ari Pouttu

Erschienen in: Wireless Personal Communications | Ausgabe 2/2014

Einloggen

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

search-config
loading …

Abstract

A hierarchical architecture for wireless sensor network (WSN) consisting of heterogeneous devices is introduced in this paper. Proposed architecture is well suited for surveillance of critical infrastructures and it is designed to be scalable for various different scenarios. Low power consumption will be achieved by utilizing a wake-up radio concept which enables to keep the most power consuming devices at the sleep mode as long as possible. A WSN OpenAPI gateway (WOAG) component of the architecture supports high scalability by enabling data collection and sharing from networks deployed using multiple different technologies. WOAG facilitates WSNs information availability to local and remote end-users. Analytical energy efficiency optimization model for the architecture is developed. Results show energy efficiency gains that can be achieved with the proposed wake-up concept based intelligent hierarchical architecture design. For low event frequency case the energy efficiency is found to be one order of magnitude better than for duty cycle (1 %) radio based network.
Vorheriger Artikel E-BEB: Enhanced Binary Exponential Backoff Algorithm for Multi-hop Wireless Ad-hoc Networks
Nächster Artikel CloudThinking as an Intelligent Infrastructure for Mobile Robotics

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

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+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 "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.
2.
Ansari, J., Pankin, D., & Mähönen, P. (2009). Radio-triggered wake-ups with addressing capabilities for extremely low power sensor network applications. Springer International Journal of Wireless Information Networks, 16(3), 118–130.
3.
4.
Buratti, C., & Verdone, R. (2008). A hybrid hierarchical architecture: From a wireless sensor network to the fixed infrastructure. In: Wireless Conference, EW 2008.
5.
Buttyan, L., Gessner, D., & Hessler, A. (2010). Langendoerfer: Application of wireless sensor networks in critical infrastructure protection: challenges and design options. IEEE Wireless Communications, 17(5), 44–49. doi:10.​1109/​MWC.​2010.​5601957.CrossRef
6.
7.
8.
9.
10.
11.
12.
13.
Honkola, J., Laine, H., Brown, R., & Tyrkko, O. (2010). Smart-M3 information sharing platform. In IEEE Symposium on Computers and Communications (ISCC) (pp. 1041–1046). doi:10.​1109/​ISCC.​2010.​5546642.
14.
IEEE Std. 1902.1: IEEE Standard for Long Wavelength Wireless Network Protocol (2009). Standard. The Institute of Electrical and Electronics Engineers, Inc.
15.
IEEE Std. 802.15.4: Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (LR-WPANs). Standard, The Institute of Electrical and Electronics Engineers, Inc. (2006). Revision of IEEE Std 802.15.4-2003.
16.
IEEE Std. 802.15.6: IEEE Standard for Local and metropolitan area networks—Part 15.6: Wireless Body Area Networks. Standard, The Institute of Electrical and Electronics Engineers, Inc. (2012).
17.
Khan, Z., Catalot, D., & Thiriet, J. (2009). Hierarchical wireless network architecture for distributed applications. In Wireless and Mobile Communications, ICWMC ’09 (pp. 70–75).
18.
Kulkarni, P., Ganesan, D., Shenoy, P., & Lu, Q. (2005). SensEye: A multitier camera sensor network. In ACM International Conference on Multimedia, MM ’05.
19.
20.
Kuorilehto, M., Kohvakka, M., Suhonen, J., Hämäläinen, P., Hännikäinen, M., & Hämäläinen, T. (2007). Ultra-low energy wireless sensor networks in practice: Theory, realization and deployment. Chichester: Wiley.CrossRef
21.
22.
Lopes, C. E. R., Linhares, F. D., Santos, M. M., & Ruiz, L. B. (2007). A multi-tier, multimodal wireless sensor network for environmental monitoring. Springer Link Lecture Notes in Computer Science, 4611, 589–598.CrossRef
23.
Raghunathan, V., Ganeriwal, S., & Srivastava, M. (2006). Emerging techniques for long lived wireless sensor networks. IEEE Wireless Communications, 44(4), 108–114. doi:10.​1109/​MCOM.​2006.​1632657.
24.
Reed, C., Botts, M., Davidson, J., & Percivall, G. (2007). OGC sensor web enablement: Overview and high level architecture. In IEEE Autotest conference (pp. 372–380). doi:10.​1109/​AUTEST.​2007.​4374243.
25.
Sample, A., Yeager, D., Powledge, P., & Smith, J. (2007). Design of a passively-powered, programmable sensing platform for UHF RFID systems. In IEEE International Conference on RFID.
26.
Shelby, Z., & Bormann, C. (2009). 6LoWPAN: The wireless embedded internet. Chichester: Wiley.CrossRef
27.
Slimane, J. B., Song, Y. Q., Kouba, A., & Frikha, M. (2009). A three-tiered architecture for large-scale wireless hospital sensor networks. In International workshop on mobilizing health information to support healthcare-related knowledge work, MobiHealthInf 2009.
28.
Song, E., & Lee, K. (2008). Understanding IEEE 1451-networked smart transducer interface standard—what is a smart transducer? IEEE Instrumentation Measurement Magazine, 11(2), 11–17. doi:10.​1109/​MIM.​2008.​4483728.CrossRef
29.
Stefanov, A., & Stojanovic, M. (2010). Hierarchical underwater acoustic sensor networks. In ACM international workshop on underwater, Networks, WUWNet10 (2010).
30.
Suhonen, J., Kivelä, O., Laukkarinen, T., Hännikäinen, M. (2012). Unified service access for wireless sensor networks. International workshop on software engineering for sensor network applications (SESENA), 2012, (pp. 49–55). doi:10.​1109/​SESENA.​2012.​62257354.
31.
32.
33.
Wu, M., & Collier, M. (2011). Extending the lifetime of heterogeneous sensor networks using a two-level topology. In IEEE international conference on computer and information technology (pp. 499–504).
34.
Yang, J., Gao, Y., & Zhang, Z. (2011). Cluster-based routing protocols in wireless sensor networks: A survey. In International conference on computer science and network technology, ICCSNT ’11, vol. 3 (pp. 1659–1663).
35.
36.
37.
Zatout, Y., Campo, E., & Llibre, J. F. (2009). WSN-HM: Energy-efficient wireless sensor network for home monitoring. In International conference on intelligent sensors, sensor networks and information processing (ISSNIP) (pp. 367–372).
38.
Zhang, M., Song, J., & Zhang, Y. (2005). Three-tiered sensor networks architecture for traffic information monitoring and processing. Intelligent Robots and Systems, IROS, 2005, 2291–2296.
39.
40.
Zorzi, M., Gluhak, A., Lange, S., & Bassi, A. (2010). From today’s INTRAnet of things to a future INTERnet of things: A wireless- and mobility-related view. IEEE Wireless Communications, 17(6), 44–51. doi:10.​1109/​MWC.​2010.​5675777.CrossRef
Metadaten
Titel
Hierarchical Architecture for Multi-Technology Wireless Sensor Networks for Critical Infrastructure Protection
verfasst von
Heikki Karvonen
Jukka Suhonen
Juha Petäjäjärvi
Matti Hämäläinen
Marko Hännikäinen
Ari Pouttu
Publikationsdatum
01.05.2014
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2014
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-014-1686-2

Weitere Artikel der Ausgabe 2/2014

Wireless Personal Communications 2/2014 Zur Ausgabe

OriginalPaper

Infrastructure for Intelligent Automation Services in the Smart Grid

OriginalPaper

CloudThinking as an Intelligent Infrastructure for Mobile Robotics

OriginalPaper

E-BEB: Enhanced Binary Exponential Backoff Algorithm for Multi-hop Wireless Ad-hoc Networks

EditorialNotes

Special Issue on “Intelligent Infrastructure”

OriginalPaper

Coping with Network Dynamics Using Reinforcement Learning Based Network Optimization in Wireless Sensor Networks

OriginalPaper

The Sensing Business Model

Neuer Inhalt

    Bildnachweise