Energy Harvesting Wireless Sensor Networks: From Characterization to Duty Cycle Dimensioning

Jad Oueis 1 Razvan Stanica 1 Fabrice Valois 1
1 URBANET - Réseaux capillaires urbains
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : Energy harvesting capabilities are challenging our understanding of wireless sensor networks by adding recharging capacity to sensor nodes. This has a significant impact on the communication paradigm, as networking mechanisms can benefit from these potentially infinite renewable energy sources. In this work, we study the consequences of implementing photovoltaic energy harvesting on the duty cycle of a wireless sensor node, in both outdoor and indoor scenarios. We show that for the static duty cycle approach in outdoor scenarios, very high duty cycles, in the order of tens of percents, are achieved. This further eliminates the need for additional energy conservation schemes. In the indoor case, our analysis shows that the dynamic duty cycle approach based solely on the battery residual energy does not necessarily achieve better results than the static approach. We identify the main reasons behind this behavior, and test new design considerations by adding information on the battery level variation to the duty cycle computation. We demonstrate that this approach always outperforms static solutions when perfect knowledge of the harvestable energy is assumed, as well as in realistic deployments, where this information is not available.
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Communication dans un congrès
MASS 2016 - IEEE 13th International Conference on Mobile Ad hoc and Sensor Systems, Oct 2016, Brasilia, Brazil
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https://hal.inria.fr/hal-01342974
Contributeur : Jad Oueis <>
Soumis le : jeudi 7 juillet 2016 - 11:32:36
Dernière modification le : vendredi 6 janvier 2017 - 16:50:13
Document(s) archivé(s) le : samedi 8 octobre 2016 - 11:23:38

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Jad Oueis, Razvan Stanica, Fabrice Valois. Energy Harvesting Wireless Sensor Networks: From Characterization to Duty Cycle Dimensioning. MASS 2016 - IEEE 13th International Conference on Mobile Ad hoc and Sensor Systems, Oct 2016, Brasilia, Brazil. <hal-01342974>

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