• DocumentCode
    3694408
  • Title

    Approach to power prediction in WSN using propagation models: Practical analysis applied in water reservoirs

  • Author

    Teles de Sales Bezerra;José Anderson Rodrigues de Souza;Saulo Aislan da Silva Eleutério;Jerônimo Silva Rocha

  • Author_Institution
    Federal Institute of Education, Science and Technology of Paraí
  • fYear
    2015
  • Firstpage
    73
  • Lastpage
    76
  • Abstract
    Wireless Sensor Networks (WSN) are already trend in many applications, environmental modeling in this network is of fundamental importance to maintain communication between modules always in acceptable power transmission and reception levels. Faced with this challenge the aim of this work is to conduct a study on the propagation of radio frequency signals in WSN applied in an environment used as water reservoir, this analysis will be done by comparing the real values Received Signal Strength Indicator (RSSI) with the estimates proposed by some of the most used power prediction models for WSN, thus achieving the best modeling of the proposed environment and thus determine which power prediction model more suitable for the application.
  • Keywords
    "Predictive models","Wireless sensor networks","Mathematical model","Water resources","Receivers","Received signal strength indicator","Analytical models"
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium (LANOMS), 2015 Latin American
  • Type

    conf

  • DOI
    10.1109/LANOMS.2015.7332673
  • Filename
    7332673