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VOLUME 7 , ISSUE 5 (December 2014) > List of articles
Special issue ICST 2014
Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 5, Pages 1-5, DOI: https://doi.org/10.21307/ijssis-2019-089
License : (CC BY-NC-ND 4.0)
Published Online: 15-February-2020
In many outdoor locations solar power provides the greatest power densities for energy harvesting to power wireless sensor networks in comparison to other practical alternative such as wind, vibrations or temperature gradients. Since solar power is highly variable with location and time, it is necessary to optimise the sensor nodes for individual locations. Presented here, is an assessment of the solar power availability in Manchester, UK (53°28′N, 2°14′W). Wireless sensor nodes are typically low power devices with intended perpetual operation and thus the temporal distribution of available power is important together with the total amount of energy drawn over a given time period. Here we examine direct and diffuse solar radiation data over a period of three years and present methods for the deployment of solar cells for sensor nodes to optimise sensing and communication scenarios. As local weather conditions are highly variable and stochastic in the medium term, we base the future node performance on the weather from a previous year. From analysis of the weather data, the hardware requirements for the sensor node are then made from the power consumption of the sensor node for sensing, sleep and data transmission. It was found that to maximise the time over which the solar irradiance exceeds that required to power our demonstration sensor node, the solar cell should be positioned horizontally.
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