• DocumentCode
    142676
  • Title

    An empirical path loss model for Wireless Sensor Network deployment in an artificial turf environment

  • Author

    Alsayyari, Abdulaziz ; Kostanic, I. ; Otero, C.E.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Florida Inst. of Technol., Melbourne, FL, USA
  • fYear
    2014
  • fDate
    7-9 April 2014
  • Firstpage
    637
  • Lastpage
    642
  • Abstract
    This paper presents a model for predicting Radio Frequency (RF) propagation for Wireless Sensor Network (WSN) deployment in an artificial turf environment. To create the model, data from a physical deployment are collected and an empirical path loss prediction model is derived from the actual measurements. Furthermore, the presented measurements and empirical path loss model are compared with measurements and models obtained from WSN deployments in other terrains, such as one characterized by long-grass and another by sparse-tree environments. The results from the comparison of these different terrains show significant differences in path loss and empirical models´ parameters. In addition, the proposed model is compared with Free Space Path Loss (FSPL) and Two-Ray models to demonstrate the inaccuracy of these theoretical models in predicting path loss between wireless sensor nodes deployed in artificial turf environments.
  • Keywords
    radiowave propagation; wireless sensor networks; WSN deployments; artificial turf environment; empirical path loss model; empirical path loss prediction model; free space path loss; physical deployment; radio frequency propagation; sparse-tree environments; terrains; theoretical models; two-ray models; wireless sensor network deployment; wireless sensor nodes; Frequency measurement; Monitoring; Radio frequency; Statistical analysis; Wireless sensor networks; Channel Modeling; Path Loss models; Radio Frequency Propagation Models; Received Signal Strength Indicator; Wireless Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control (ICNSC), 2014 IEEE 11th International Conference on
  • Conference_Location
    Miami, FL
  • Type

    conf

  • DOI
    10.1109/ICNSC.2014.6819700
  • Filename
    6819700