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SDF - Solar-Aware Distributed Flow in Wireless Sensor Networks

Schweizer, Immanuel and Fleischhacker, Nils and Mühlhäuser, Max and Strufe, Thorsten :
SDF - Solar-Aware Distributed Flow in Wireless Sensor Networks.
IEEE Local Computer Networks IEEE
[Conference or Workshop Item] , (2011)

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
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: German
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.

Title of Book: IEEE Local Computer Networks
Publisher: IEEE
Uncontrolled Keywords: - SCS (Smart Civil Security);- SCS: ProTecT;Secure Services;- P2P: QuaP2P (jointly with SCS)
Divisions: Department of Computer Science
Department of Computer Science > Peer-to-Peer Netzwerke
Department of Computer Science > Telecooperation
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > CASED – Center for Advanced Security Research Darmstadt
Date Deposited: 27 Jul 2016 16:32
DOI: 10.1109/LCN.2011.6115320
Identification Number: TUD-CS-2011-0172
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