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Smart Cities/Smart Regions – Technische, wirtschaftliche und gesellschaftliche Innovationen pp 507–516Cite as

Reviewing Wireless Sensor Network Model for Forest Temperature and Humidity Monitoring in Usambara Mountains

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Zusammenfassung

Die Saatgutkeimung, mikrobielle Aktivitäten und das Aufkommen von Bränden in Wäldern werden durch vorherrschende Bedingungen bestimmt. Aktuell gibt es einen Mangel an Informationen bezüglich der zeitlichen und räumlichen umweltbezogenen Bedingungen in Wäldern und ihrer Gesundheit. Bestehenden Überwachungssystemen fehlt es an der Sammlung von Echtzeitdaten in bewaldeten Ökosystemen. Diese Studie wurde in der Usambara-Reservation in Tansania durchgeführt, einer Gegend mit hoher Biodiversität. Wir schlagen die Entwicklung eines umfassenden Modells für eine Echtzeitüberwachung der Waldtemperatur und -feuchtigkeit durch die Nutzung eines kabellosen Netzwerksystems (WSN). Wir entwickeln ein Paketweiterleitungsprotokoll, einen Schlaf-Wach-Algorithmus und eine Datenbank zum Speichern von Daten. Datenwissenschaftstechnologien werden zur Datenanalyse verwendet. Das Modell befähigt den Einsatz von Entscheidungs- und Frühwarnsystemen für Waldbrände, Regenarationsprogramme, Biodiversitätsmanagement und Niederschlagswerten. Wir erwarten, dass das Projekt die laufenden Kosten dramatisch reduziert, bei gleichzeitiger Optimierung der Datenqualität und der operationalen Effizienz.

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Authors and Affiliations

  1. Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania

    Ramadhani Sinde, Shubi Kaijage & Karoli Njau

Authors
  1. Ramadhani Sinde
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  2. Shubi Kaijage
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  3. Karoli Njau
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Corresponding author

Correspondence to Ramadhani Sinde .

Editor information

Editors and Affiliations

  1. Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany

    Jorge Marx Gómez

  2. Fakultät II - Department für Informatik, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany

    Andreas Solsbach

  3. Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany

    Thomas Klenke

  4. HTW Berlin, Berlin, Germany

    Volker Wohlgemuth

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© 2019 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

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Sinde, R., Kaijage, S., Njau, K. (2019). Reviewing Wireless Sensor Network Model for Forest Temperature and Humidity Monitoring in Usambara Mountains. In: Marx Gómez, J., Solsbach, A., Klenke, T., Wohlgemuth, V. (eds) Smart Cities/Smart Regions – Technische, wirtschaftliche und gesellschaftliche Innovationen. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-25210-6_39

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