• Journal of the Institute of Convergence Signal Processing
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• v.14 no.2
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• pp.99-104
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• 2013

Replacement of sensor nodes for monitoring a wide range area such as mountains and forests needs a lot of time and cost. Using new and renewable energy around them can maximize the lifetime of wireless sensor networks, in which solar energy is infinite energy source that is available in 365 days. To design these sensor networks, solar energy model is essential and to estimate and analyze the overall photovoltaic energy. Using this, we can figure out important data such as the size and performance of solar panel needed. However, existing researches for solar energy harvesting consider parts of many factors to influence the quantity of solar energy gathered. In this paper, we suggest advanced solar energy harvesting model considering angular loss (solar cell panel), overheat loss (solar cell), rechargeable battery heat and cooling for each monthly properties. From our experimental results according to outdoor temperature, panel angle and the surface temperature of solar panel, we show these impact factors are correctly configured.

• Journal of KIISE:Computer Systems and Theory
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• v.36 no.5
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• pp.360-370
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• 2009

Using solar power in wireless sensor networks requires a different approach to energy optimization from networks with battery-based nodes. Solar energy is an inexhaustible supply which can potentially allow a system to run forever, but there are several issues to be considered such as the uncertainty of energy supply and the constraint of rechargeable battery capacity. In this paper, we present SolarSS: a reliable storage system for solar-powered sensor networks, which provides a set of functions, in separate layers, such as sensory data collection, replication to prevent failure-induced data loss, and storage balancing to prevent depletion-induced data loss. SolarSS adapts the level of layers activated dynamically depending on solar energy availability, and provides an efficient resource allocation and data distribution scheme to minimize data loss.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.743-746
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• 2013

Most of existing simulator for wireless sensor networks (WSNs) models the battery-based sensor and provides the MAC and routing protocols designed for the battery-based WSNs. Recently, however, as the energy harvesting sensor systems are studied widely, the require of the simulator for them is getting increased; but the related work is insignificant. Unlike the existing simulators, the simulator for the energy-harvesting WSNs requires the new energy model which is integrated with the energy-harvesting model, rechargeable battery model and energy-consuming model. Additionally, it should provide the well-known MAC and routing protocols designed for the energy-harvesting WSNs, and also provide the user-friendly interface for the convenient usage. In this work, we analysis the existing Castalia simulator and revise it for the user-friendly simulator for the solar energy harvesting WSNs.