Schweizer, Immanuel and Fleischhacker, Nils and Mühlhäuser, Max and Strufe, Thorsten (2011):
SDF - Solar-Aware Distributed Flow in Wireless Sensor Networks.
pp. 382 - 390, IEEE, 2011 IEEE 36th Conference on Local Computer Networks, Bonn, 4 - 7 Oct. 2011, ISBN 978-1-61284-928-7,
DOI: 10.1109/LCN.2011.6115320,
[Conference or Workshop Item]
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.
Item Type: | Conference or Workshop Item |
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Erschienen: | 2011 |
Creators: | Schweizer, Immanuel and Fleischhacker, Nils and Mühlhäuser, Max and Strufe, Thorsten |
Title: | SDF - Solar-Aware Distributed Flow in Wireless Sensor Networks |
Language: | English |
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. |
Journal or Publication Title: | IEEE Local Computer Networks |
Publisher: | IEEE |
ISBN: | 978-1-61284-928-7 |
Uncontrolled Keywords: | - SCS (Smart Civil Security);- SCS: ProTecT;- P2P - Area Peer-to-Peer Systems; QuaP2P (Jointly with SCS) |
Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Peer-to-Peer Netzwerke 20 Department of Computer Science > Telecooperation LOEWE LOEWE > LOEWE-Zentren LOEWE > LOEWE-Zentren > CASED – Center for Advanced Security Research Darmstadt |
Event Title: | 2011 IEEE 36th Conference on Local Computer Networks |
Event Location: | Bonn |
Event Dates: | 4 - 7 Oct. 2011 |
Date Deposited: | 22 Jan 2017 18:57 |
DOI: | 10.1109/LCN.2011.6115320 |
Identification Number: | TUD-CS-2011-2939 |
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