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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