• DocumentCode
    623914
  • Title

    RSS-Ratio for enhancing performance of RSS-based applications

  • Author

    Wei Cheng ; Kefeng Tan ; Omwando, Victor ; Jindan Zhu ; Mohapatra, Prasant

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Massachusetts Lowell, Lowell, MA, USA
  • fYear
    2013
  • fDate
    14-19 April 2013
  • Firstpage
    3075
  • Lastpage
    3083
  • Abstract
    RSS (Received Signal Strength) has been widely utilized in wireless applications. It is, however, susceptible to environmental unknowns from both temporal and spatial domains. As a result, the fluctuation of RSS may degrade performance of RSS based applications. In this work, we propose a novel RSS processing method at the receiver for three antenna based systems. The output of our approach is `RSS-Ratio´, which eliminates the environmental unknowns and thus is a more stable variable compared to RSS itself. To validate the efficacy of the proposed method, we conduct a series of experiments in a range of wireless scenarios, including indoor laptop based measurement, indoor software defined radio - WARP based measurement, and outdoor wireless measurement. In addition, we also give an analysis to the relationship between the location of transmitter and the value of RSS-Ratio, and examine the accuracy of the estimated RSS-Ratio value via both simulations and experiments. All the experimental, analytical, and simulated results demonstrate that RSS-Ratio will be a better replacement for RSS to improve the performance of RSS based applications.
  • Keywords
    indoor radio; receiving antennas; software radio; RSS processing method; RSS-based applications; WARP based measurement; antenna based systems; estimated RSS-Ratio value; indoor laptop based measurement; indoor software defined radio; outdoor wireless measurement; performance enhancement; received signal strength; receiver antenna; transmitter; wireless applications; Decision support systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2013 Proceedings IEEE
  • Conference_Location
    Turin
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4673-5944-3
  • Type

    conf

  • DOI
    10.1109/INFCOM.2013.6567120
  • Filename
    6567120