Schweizer, Immanuel ; Fleischhacker, Nils ; Mühlhäuser, Max ; Strufe, Thorsten (2011):
SDF - Solar-Aware Distributed Flow in Wireless Sensor Networks.
In: Proceedings of the 36th Annual IEEE Conference on Local Computer Networks, pp. 382 - 390,
IEEE, 2011 IEEE 36th Conference on Local Computer Networks, Bonn, Germany, 04.-07.10.2011, 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.

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