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Temperature-based models of batteries for the simulation of Wireless Sensor Networks

Published: 01 July 2019 Publication History

Abstract

The main parameter studied in a simulation of a Wireless Sensor Network is the lifetime of the network. In other words, the state of the battery of each node. That is why modelling correctly the battery is very important to obtain realistic results. In real applications, many types of batteries can be considered, where their lifetime depends on the weather variations and on the type of the considered sensor node. In this paper, we present some models of batteries simulated with the CupCarbon simulator. The models are obtained by estimating the consumption of real batteries. This is done by studying series of discharging current values with respect to different voltage values and different temperatures. Furthermore, we implement a new module in the CupCarbon simulator to allow testing the proposed models and to implement new personal models.

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A. Bounceur, Modèles et Simulation pour le Test de Circuits Mixtes, la Fouille de Données et les Réseaux de capteurs sans fil, HDR / University of Brest, 2014.
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CupCarbon simulator, http://www.cupcarbon.com
  1. Temperature-based models of batteries for the simulation of Wireless Sensor Networks

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    ICFNDS '19: Proceedings of the 3rd International Conference on Future Networks and Distributed Systems
    July 2019
    346 pages
    ISBN:9781450371636
    DOI:10.1145/3341325
    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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    Published: 01 July 2019

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    Author Tags

    1. Battery modelling
    2. CupCarbon simulator
    3. Internet of things
    4. Wireless sensor network
    5. energy consumption
    6. simulation

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