Next Article in Journal
Non-Destructive Classification of Diversely Stained Capsicum annuum Seed Specimens of Different Cultivars Using Near-Infrared Imaging Based Optical Intensity Detection
Previous Article in Journal
Analysis of Key Issues on GNSS-R Soil Moisture Retrieval Based on Different Antenna Patterns
Article

Analytical Model for the Duty Cycle in Solar-Based EH-WSN for Environmental Monitoring

1
Department of Mathematics and Computer Science, University of Balearic Islands, 07122 Palma de Mallorca, Spain
2
School of Computing Engineering, University of Castilla-La Mancha, 13071 Ciudad Real, Spain
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(8), 2499; https://doi.org/10.3390/s18082499
Received: 11 June 2018 / Revised: 19 July 2018 / Accepted: 26 July 2018 / Published: 1 August 2018
(This article belongs to the Section Sensor Networks)
A technology drift is currently taking place from traditional battery-powered sensor networks, which exhibit limited lifetime, to the new Energy-Harvesting Wireless Sensor Networks (EH-WSN), which open the way towards self-sustained operation. However, this emergent modality also brings up new challenges, especially due to the time-varying nature and unpredictability of ambient energy sources. Most proposals for implementing EH-WSN rely on heuristic approaches to redesign the duty-cycling mechanism at the MAC layer, with the ultimate goal of optimizing network performance while preserving self-sustained and continuous operation. In contrast to the common system-wide reduced duty cycle of battery-powered sensor networks, the duty cycle in EH-WSN is much larger and adapted to the energy harvesting rate and traffic load of each node in the network. In this paper, we focus on solar-based EH-WSN devoted to environmental monitoring. In contrast to current works, we follow an analytical approach, which results into closed-form expressions for the duty cycle and initial energy storage that guarantee self-sustained operation to any node in a solar-based EH-WSN. To center the analysis, we consider TinyOS sensor nodes, though we postulate that the essential components of the obtained formulation will contribute to further develop duty cycle adaptation schemes for TinyOS and other software platforms. View Full-Text
Keywords: wireless sensor network; energy consumption model; duty cycle; low power listening; MAC; TinyOS; energy harvesting model; solar irradiance wireless sensor network; energy consumption model; duty cycle; low power listening; MAC; TinyOS; energy harvesting model; solar irradiance
Show Figures

Figure 1

MDPI and ACS Style

Galmés, S.; Escolar, S. Analytical Model for the Duty Cycle in Solar-Based EH-WSN for Environmental Monitoring. Sensors 2018, 18, 2499. https://doi.org/10.3390/s18082499

AMA Style

Galmés S, Escolar S. Analytical Model for the Duty Cycle in Solar-Based EH-WSN for Environmental Monitoring. Sensors. 2018; 18(8):2499. https://doi.org/10.3390/s18082499

Chicago/Turabian Style

Galmés, Sebastià, and Soledad Escolar. 2018. "Analytical Model for the Duty Cycle in Solar-Based EH-WSN for Environmental Monitoring" Sensors 18, no. 8: 2499. https://doi.org/10.3390/s18082499

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop