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

Published: 11 November 2013 Publication History

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.

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ES4CPS '14: Proceedings of International Workshop on Engineering Simulations for Cyber-Physical Systems
March 2014
44 pages
ISBN:9781450326148
DOI:10.1145/2589650
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Technische Universität Ilmenau: Technische Universität Ilmenau

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 November 2013

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Author Tags

  1. Energy Harvesting
  2. Glaciology
  3. Modeling
  4. Power Models

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