Articles producció científica> Enginyeria Informàtica i Matemàtiques

Energy-Aware Topology Control Strategy for Human-Centric Wireless Sensor Networks

  • Identification data

    Identifier: PC:633
    Authors:
    Meseguer, R.Molina, C.Ochoa, S.Santos, R.
    Abstract:
    10.3390/s140202619
  • Others:

    Author, as appears in the article.: Meseguer, R. Molina, C. Ochoa, S. Santos, R.
    Department: Enginyeria Informàtica i Matemàtiques
    Abstract: The adoption of mobile and ubiquitous solutions that involve participatory or opportunistic sensing increases every day. This situation has highlighted the relevance of optimizing the energy consumption of these solutions, because their operation depends on the devices¿ battery lifetimes. This article presents a study that intends to understand how the prediction of topology control messages in human-centric wireless sensor networks can be used to help reduce the energy consumption of the participating devices. In order to do that, five research questions have been defined and a study based on simulations was conducted to answer these questions. The obtained results help identify suitable mobile computing scenarios where the prediction of topology control messages can be used to save energy of the network nodes. These results also allow estimating the percentage of energy saving that can be expected, according to the features of the work scenario and the participants behavior. Designers of mobile collaborative applications that involve participatory or opportunistic sensing, can take advantage of these findings to increase the autonomy of their solutions.
    Thematic Areas: Human-centric wireless sensor network;
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Last page: 2643
    Journal volume: 14
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.mdpi.com/1424-8220/14/2/2619
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Article's DOI: https://doi.org/10.3390/s140202619
    Entity: Universitat Rovira i Virgili.
    Journal publication year: 2014
    First page: 2619
  • Keywords:

    Human-centric wireless sensor network;
  • Documents:

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