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Network Lifetime Maximization with Adjustable Node Transmission Range

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Smart Cities/Smart Regions – Technische, wirtschaftliche und gesellschaftliche Innovationen

Zusammenfassung

Süßwasserquellen machen nur etwa 2,5 % der weltweiten Wasserkörper aus, daher ist die Aufrechterhaltung und Überwachung ihrer Qualität von entscheidender Bedeutung. Weltweit sind mehrere Todesfälle zu verzeichnen, die auf kontaminiertes oder verschmutztes Wasser zurückzuführen sind. Die wichtige Lösung unter den verschiedenen Methoden zur Überwachung der Wasserqualität ist die Verwendung von drahtlosen Sensoren. Drahtlose Sensorknoten, wenn sie zur Flussüberwachung (RNMs) eingesetzt werden, können Netzwerke bilden, die in drei verschiedene Arten unterschieden werden: 1) vorinstalliert, 2) treibende Knoten 3) eine Kombination aus vorinstallierten und treibenden Knoten. Um die Netzwerklebensdauer zu verbessern, wird ein Algorithmus zur Lebensdauermaximierung mit einem einstellbaren Netzwerkübertragungsbereich vorgeschlagen. Der einstellbare Übertragungsbereich berücksichtigt auch kontinuierliche und diskrete Werte. In dieser Arbeit werden Lösungen für diese Probleme analysiert und modelliert, zudem werden Algorithmen zur Lösung dieser Probleme bereitgestellt und die Netzwerkleistung untersucht. Unsere Simulationsergebnisse zeigen eine Verbesserung des einstellbaren Übertragungsbereichsalgorithmus im Hinblick auf den Energieverbrauch während der Datenpaketübertragung.

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Author information

Authors and Affiliations

  1. University of Ghana, Accra, Ghana

    Kofi Sarpong Adu-Manu, Ferdinand Katsriku & Jamal-Deen Abdulai

  2. Carl von Ossietzky Universität Oldenburg, Oldenburg, Deutschland

    Jorge Marx Gómez

  3. University of Rochester, Rochester, USA

    Wendi Heinzelmann

Authors
  1. Kofi Sarpong Adu-Manu
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  2. Ferdinand Katsriku
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  3. Jamal-Deen Abdulai
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  4. Jorge Marx Gómez
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  5. Wendi Heinzelmann
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Corresponding author

Correspondence to Kofi Sarpong Adu-Manu .

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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Adu-Manu, K.S., Katsriku, F., Abdulai, JD., Marx Gómez, J., Heinzelmann, W. (2019). Network Lifetime Maximization with Adjustable Node Transmission Range. 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_54

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