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EnglishAutomatic Weather Stations (AWSs) are widely used in environmental sensing. Often working in harsh environments, AWSs are equipped with rechargeable batteries, energy harvesting and meteorological sensors connected to a processing unit where a sensing and communication policy is executed. An optimal policy should provide the desired sensing and communication rates, while rmly guaranteeing the survival of the system. In this paper, we introduce a power model for AWSs and describe a simulator based on the Stochastic Activity Networks formalism. The simulator helps the designer in assessing the feasibility of a given policy, taking in consideration context information such as temperature and solar radiation. We successfully validated the simulator with data collected by a real-world AWS installed on an alpine glacier. A comparison showed that the proposed simulative approach is more accurate than analytical models based on average power production and consumption.
| Titolo: | Simulation of Automatic Weather Stations for the Energy Estimation of Sensing and Communication Software Policies |
| Autori interni: | |
| Anno del prodotto: | 2013 |
| Handle: | http://hdl.handle.net/11568/207985 |
| ISBN: | 9781450321716 |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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