• DocumentCode
    606741
  • Title

    Hull-based approximation to forest fires with distributed wireless sensor networks

  • Author

    Serna, M.A. ; Bermudez, A. ; Casado, Ruben

  • Author_Institution
    Inst. de Investig. en Inf. de Albacete (I3A), Univ. de Castilla-La Mancha, Albacete, Spain
  • fYear
    2013
  • fDate
    2-5 April 2013
  • Firstpage
    265
  • Lastpage
    270
  • Abstract
    Disaster management is one of the most promising application fields of wireless sensor networks. In this application, the role of the sensor network usually consists in obtaining a representation or a model for a physical phenomenon spreading through the area. In this work we focus on forest fire fighting operations, proposing a distributed way for approximating the shape of the fire. In the simplest scenario, assuming the existence of an efficient dissemination layer, each network node obtains a representation of the forest fire starting from the complete list of positions reached by the fire so far. However, this approach makes an intensive use of node and network resources. In order to reduce these requirements, we propose incorporating in-network aggregation techniques. In particular, in this paper we analyze the employ of a shape composed of several convex hulls to represent the forest fire in a more compact way. As we will see, the use of multiple hulls representing different burning areas offers an accurate approximation to the forest fire, without introducing a significant overhead.
  • Keywords
    approximation theory; emergency management; flames; forestry; wireless sensor networks; disaster management; dissemination layer; distributed wireless sensor networks; forest fire fighting operations; hull-based approximation; in-network aggregation techniques; Approximation methods; Fires; Memory management; Monitoring; Shape; Temperature sensors; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Sensors, Sensor Networks and Information Processing, 2013 IEEE Eighth International Conference on
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4673-5499-8
  • Type

    conf

  • DOI
    10.1109/ISSNIP.2013.6529800
  • Filename
    6529800