Modeling and Simulation of Energy-Aware Adaptive Policies for Automatic Weather Stations

Authors:
Daniel Cesarini;Luca Cassano;Alessio Fagioli;Marco Avvenuti
Affiliations:
Department of Information Engineering, University of Pisa, Italy;Department of Information Engineering, University of Pisa, Italy;Department of Information Engineering, University of Pisa, Italy;Department of Information Engineering, University of Pisa, Italy
Venue:
Proceedings of International Workshop on Engineering Simulations for Cyber-Physical Systems
Year:
2013

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Abstract

In this paper we present a methodology to model and analyse from the energetic point of view energy-aware adaptive applications for sensing and communication running on top of an Automatic Weather Station (AWS). Applications are modeled as a suite of independent policies, one for each sensing or transmission device. A policy is a set of rules that describe the behaviour of applications. Policies are modeled independently of the actual application implementation, so that designers could evaluate the energetic feasibility of the application early in the design process of the AWS. Policies dynamically modify the sampling frequency of sensors and the transmission starting time according to the amount of energy that could be harvested from the environment and to the amount of energy stored in the battery. In order to assess the effectiveness of the modeled policies we simulated them through an energy-aware simulator for AWS systems.