• DocumentCode
    1608936
  • Title

    Towards a transmission power self-optimization in reliable Wireless Sensor Networks

  • Author

    Lavratti, F. ; Pinto, A.R. ; Prestes, D. ; Bolzani, L. ; Vargas, F. ; Montez, C.

  • Author_Institution
    PUCRS, Catholic Univ. of Rio Grande do Sul, Porto Alegre, Brazil
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Wireless Sensor Networks (WSNs) can be used to monitor hazardous and inaccessible areas. The WSN is composed of several nodes each provided with its separated power supply, e.g. battery. Working in hardly accessible places it is preferable to assure the adoption of the minimum transmission power in order to prolong as much as possible the WSN´s lifetime. Though, we have to keep in mind that the reliability of the data transmitted represents a crucial requirement. Therefore, power optimization and reliability have become the most important concerns when dealing with modern systems based on WSN. In this context, we propose a new algorithm able to guarantee an equally high Quality of Service (QoS), concentrating on the WSN´s Efficiency (Ef), while optimizing the transmission power necessary for data communication. Thus, the main idea behind our approach is to reach a trade-off between Ef and energy consumption in an environment with inherent noise.
  • Keywords
    data communication; energy consumption; quality of service; telecommunication network reliability; wireless sensor networks; data communication; energy consumption; hazardous area monitoring; inaccessible area monitoring; power supply; quality of service; reliable wireless sensor networks; transmission power self-optimization; Energy consumption; Measurement; Noise; Optimization; Peer to peer computing; Quality of service; Wireless sensor networks; QoS; WSN; energy optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Test Workshop (LATW), 2010 11th Latin American
  • Conference_Location
    Pule del Este
  • Print_ISBN
    978-1-4244-7786-9
  • Electronic_ISBN
    978-1-4244-7785-2
  • Type

    conf

  • DOI
    10.1109/LATW.2010.5550356
  • Filename
    5550356