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SDF - Solar-Aware Distributed Flow in Wireless Sensor Networks

Schweizer, Immanuel ; Fleischhacker, Nils ; Mühlhäuser, Max ; Strufe, Thorsten (2011)
SDF - Solar-Aware Distributed Flow in Wireless Sensor Networks.
2011 IEEE 36th Conference on Local Computer Networks. Bonn, Germany (04.10.2011-07.10.2011)
doi: 10.1109/LCN.2011.6115320
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Energy is the most limiting factor in wireless sensor networks. Harvesting solar energy is a feasible solution to overcome the energy-constraint in some applications. It enables a theoretically infinite network lifetime, sustaining a mode of operation termed energy neutral consumption rate The challenge arises, how can the harvested energy be utilized to maximize the performance of the sensor network. Considering a field monitoring application the performance is measured as the sustained sampling rate of the sensors. Maximizing the sampling rate needs to take the spatio-temporal distribution of load and energy into account, to prevent the overloading of nodes. In [1] they introduced a optimal, theoretical solution based on perfect global knowledge. In this paper we propose the solar-aware distributed flow (SDF) approach. SDF enables each node to predict the harvested energy, calculate a sustainable flow and control its local neighborhood. To the best of our knowledge it is the first practical solution. Extensive simulations confirmed that SDF achieves over 80% of the theoretical optimum, while introducing negligible overhead.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2011
Autor(en): Schweizer, Immanuel ; Fleischhacker, Nils ; Mühlhäuser, Max ; Strufe, Thorsten
Art des Eintrags: Bibliographie
Titel: SDF - Solar-Aware Distributed Flow in Wireless Sensor Networks
Sprache: Englisch
Publikationsjahr: 29 Dezember 2011
Verlag: IEEE
Titel der Zeitschrift, Zeitung oder Schriftenreihe: IEEE Local Computer Networks
Buchtitel: Proceedings of the 36th Annual IEEE Conference on Local Computer Networks
Veranstaltungstitel: 2011 IEEE 36th Conference on Local Computer Networks
Veranstaltungsort: Bonn, Germany
Veranstaltungsdatum: 04.10.2011-07.10.2011
DOI: 10.1109/LCN.2011.6115320
URL / URN: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6...
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Kurzbeschreibung (Abstract):

Energy is the most limiting factor in wireless sensor networks. Harvesting solar energy is a feasible solution to overcome the energy-constraint in some applications. It enables a theoretically infinite network lifetime, sustaining a mode of operation termed energy neutral consumption rate The challenge arises, how can the harvested energy be utilized to maximize the performance of the sensor network. Considering a field monitoring application the performance is measured as the sustained sampling rate of the sensors. Maximizing the sampling rate needs to take the spatio-temporal distribution of load and energy into account, to prevent the overloading of nodes. In [1] they introduced a optimal, theoretical solution based on perfect global knowledge. In this paper we propose the solar-aware distributed flow (SDF) approach. SDF enables each node to predict the harvested energy, calculate a sustainable flow and control its local neighborhood. To the best of our knowledge it is the first practical solution. Extensive simulations confirmed that SDF achieves over 80% of the theoretical optimum, while introducing negligible overhead.

Freie Schlagworte: - SCS (Smart Civil Security), - SCS: ProTecT, - P2P - Area Peer-to-Peer Systems, QuaP2P (Jointly with SCS)
ID-Nummer: TUD-CS-2011-2939
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Peer-to-Peer Netzwerke
20 Fachbereich Informatik > Telekooperation
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > CASED – Center for Advanced Security Research Darmstadt
Hinterlegungsdatum: 22 Jan 2017 18:57
Letzte Änderung: 10 Jun 2021 12:51
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