Automatic 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|
|Anno del prodotto:||2013|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|