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
Erschienen in:
Big Data and IoT for U-healthcare Security Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Architecture of a Real-time Weather Monitoring System in a Space-time Environment Using Wireless Sensor Networks

verfasst von : Walid Fantazi, Tahar Ezzedine

Erschienen in: Computer and Information Science

Verlag: Springer International Publishing

Einloggen

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

search-config
loading …

Abstract

This paper presents a Web-mapping framework for collecting, storing, and analyzing meteorological data recorded by wireless sensor network. The main objective is to design and implement climate monitoring system based on WSN able to intercepting and filtering meteorological records and generate alert system in real time in case of emergency. The application consists in transferring the data recorded by the sensor network via a gateway to an application server by using a CloudMQTT transfer protocol. The server, which allows intercepting sensor data in real time via Web Socket to a Web application (RIA), is designed to indexing and recording data in memory database. These data are stored in a spatial-temporal database and can be visualized via Web services API (REST, GWS).

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
Vorheriges Kapitel HM-AprioriAll Algorithm Improvement Based on Hadoop Environment
Nächstes Kapitel Mobile Application Development on Domain Analysis and Reuse-Oriented Software (ROS)
Literatur
1.
Percivall, G., Reed, C.: Sensor web enablement standards. Sensors Transducers J. 71(9), 698–706 (2006)
2.
Hefeeda, M., Bagheri, M.: Forest fire modeling and early detection using wireless sensor networks. Ad-Hoc Sensor Wirel. Netw. 7(3–4), 169–224 (2009)
3.
Cortes, C., Fisher, K., Pregibon, D., Rogers, A.: Hancock: a language for extracting signatures from data streams. In: Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, p. 917. ACM Press, New York (2000)
4.
Cranor, C., Gao, Y., Johnson, T., Shkapenyuk, V., Spatscheck, O.: Gigascope: high performance network monitoring with an SQL interface. In: Proceedings of the ACM SIGMOD International Conference on Management of Data, p. 623. ACM Press, New York (2002)
5.
Malatras, A., Asgari, A., Bauge, T.: Web enabled wireless sensor networks for facilities management. IEEE Syst. J. 2, 500–512 (2008)CrossRef
6.
Baccar, S., Rouached, M.: A web services based approach for resource-constrained wireless sensor networks. IJCSI Int. J. Comput. Sci. Issues 9(3, No 2) (2012)
7.
Kyusakov, R., Eliasson, J., Delsing, J., van Deventer, J., Gustafsson, J.: Integration of wireless sensor and actuator nodes with IT infrastructure using service-oriented architecture. IEEE Trans. Ind. Inf. 6(1) (2011)CrossRef
8.
Priyantha, N.B., Kansal, A., Goraczko, M., Zhao, F.: Tiny web services: design and implementation of interoperable and evolvable sensor networks. In: SenSys 08: Proceedings of the 6th ACM conference on Embedded Network Sensor Systems, New York, NY, USA, pp. 253–266, 4–7 Nov 2008
9.
Fantazi, W., Ezzedine, T., Bargaoui, Z.: Implementing a sensor network for monitoring of drought indicators. In: International Scientific Symposium of Water Management and Desertification, Istanbul/Turkey, 26–28 Nov 2014
10.
Fantazi, W., Atoui, A., Ezzedine, T.: Captree: spatial and temporal indexing in databases from fixed sensors. In: Proceedings of 2016, 4th International Conference on Control Engineering and Information Technology (CEIT-2016), Tunisia/Hammamet, 16–18 Dec 2016
11.
Chris, L.: Rich Internet Applications: Design, Measurement, and Management Challenges, Keynote Systems (2006)
12.
Fantazi, W., Ezzedin, T., Bargaoui, Z.: Wireless sensor network to help low incomes to face drought impacts. Int. J. Comput. Electr. Autom. Control Inf. Eng. 9(8) (2015)
13.
Zhao, F., Guibas, L.J.: Wireless Sensor Networks: An Information Processing Approach. Morgan Kaufmann Publishers (2004)
14.
Incel, O., Ghosh, A., Krishnamachari, B.: Scheduling algorithms for tree-based data collection in wireless sensor networks. In: Theoretical Aspects of Distributed Computing in Sensor Networks, pp. 407–445. Springer, Berlin/Heidelberg (2011)MATH
15.
Ozdemir, S., Xiao, Y.: Secure data aggregation in wireless sensor networks: a comprehensive overview. Comput. Netw. 53(12), 2022–2037 (2009). AugCrossRef
16.
Li, H., Wu, C., Yu, D., Hua, Q., Lau, F.C.M.: Aggregation latency-energy tradeoff in wireless sensor networks with successive interference cancellation. IEEE Trans. Parallel Distrib. Syst. (TPDS) 24(11), 2160–2170 (2013)CrossRef
17.
Diallo, O.: Joel J.P.C. Rodrigues and M. Sene.:Real-time data management on wireless sensor networks: A survey. Journal of Network and Computer Applications 35(3), 1013–1021 (May 2012)CrossRef
18.
Bonnet, P., Gehrke, J., Seshadri, P.: Towards sensor database systems, ACM Digit. Library 3–14 (2001)
19.
Li, C., Zhang, H., Hao, B., Li, J.: A survey on routing protocols for large-scale wireless sensor networks. Sensors 11(4), 3498–3526 (2011)CrossRef
20.
Booch, G., Rumbaugh, J., Jacobson, I.: Le guide de lutilisateur UML, collection Technologies object/Reference, Paris/Eyrolles, p. 534 (2000)
21.
Parent, C., Spaccapietra, S., Zimnyi, E., Donini, P., Plazanet, C., Vangenot, C., Rognon, N., Rausaz, P.: MADS: modle conceptuel spatio-temporel. Revue Internationale de Géomatique 7(3–4), 317–351 (1997)
22.
Bédard, Y.: Visual modelling of spatial databases: towards spatial PVL and UML. Géomatica 53(2), 169–186 (1999)
23.
Spaccapietra, S., Parent, C., Zimnyi, E.: Modeling time from a conceptual perspective. In: Proceedings of the 7th International Conference on Information and Knowledge Management, Bethesda, Maryland, USA, pp. 432–440 (1998)
24.
Laplanche, F.: Conception de projet SIG avec UML. Bulletin de la Socit gographique de Lige 42, 19–25 (2002)
25.
Fantazi, W., Ezzedine, T., Bargaoui, Z.: Conceptual modelisation of spatio- temporal database based on wireless sensor network to follow drought indicators. In: International Conference on Applied Geology and Environment (ICAGE 2016), Tunisia/Mahdia, 19–21 May 2016
26.
Lampkin, V., et al.: Building Smarter Planet Solutions with MQTT and IBM WebSphere MQ Telemetry (Sep 2012). doi:268/s0738437085
27.
Richardson, L., Ruby, S.: RESTful Web Services. OReilly (2007)
28.
W3C Consortium: W3C SOAP 1.2 specification (2007)
29.
Pautasso, C., Zimmermann, O., Leymann, F.: Restful web services vs. “Big” web services: making the right architectural decision. In: Proceedings of ACM 17th International Conference on World Wide Web (WWW), China/Beijing, Apr 2008
30.
Landre, W., Wesenberg, H.: REST versus SOAP as architectural style for web services. Paper presented at the ACM SIGPLAN International Conference on Object-Oriented Programming Systems, Languages, and Applications, Montreal/QC/Canada, Oct 2007
31.
Yuan, Y., Zheng, W.: The WebGIS development base on GeoServer’s. Softw. Guide 1(3), 96–98 (2007)
Metadaten
Titel
Architecture of a Real-time Weather Monitoring System in a Space-time Environment Using Wireless Sensor Networks
verfasst von
Walid Fantazi
Tahar Ezzedine
Copyright-Jahr
2018
Buch
Computer and Information Science

Print ISBN: 978-3-319-60169-4

Electronic ISBN: 978-3-319-60170-0

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-60170-0_13