Energy harvesting technologies are constantly evolving to help power sensor network nodes. Ranging from miniature power solar panels to micro wind turbines, nodes still express a deep need to harvest energies in order to keep both good performance level and energy autonomy. Recently, the simultaneous use of multiple sources has been proposed to tackle the time-varying characteristics of certain sources that can induce energy scarcity period and thus alter the node performance. In this context, this paper presents a methodology aimed at classifying the energy sources to choose the most efficient energy manager. As sensor nodes are embedded devices, it is necessary to ensure a balance between computational effort and classification accuracy. Feature extraction and selection phases can be processed and analyzed offline before deployment, and only a subset of features will be needed by the nodes to achieve efficient energy management. Simulations on real energy traces show that the proposed approach achieves classification accuracy higher than 95% through the computation of 4 features only.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Feature Selection Framework for Multi-Source Energy Harvesting Wireless Sensor Networks




    Publication date :

    2018-06-01


    Size :

    1273395 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Reliable Communication Performance for Energy Harvesting Wireless Sensor Networks

    Vo, Van Nhan / Tran, Hung / Uhlemann, Elisabeth et al. | IEEE | 2019


    Comparison of energy harvesting systems for wireless sensor networks

    Gilbert, J. M. / Balouchi, F. | British Library Online Contents | 2008


    Energy harvesting wireless sensor network

    DREW BERNARD / ALBINGER MATTHEW | European Patent Office | 2017

    Free access

    Energy Harvesting Wireless Sensor Network

    DREW BERNARD / ALBINGER MATTHEW | European Patent Office | 2016

    Free access

    An Energy Harvesting MAC Protocol for Cognitive Wireless Sensor Networks

    Obaid, Arif / Jaseemuddin, Muhammad / Fernando, Xavier | IEEE | 2021