• DocumentCode
    2275635
  • Title

    Modeling Chernoff information loss in cooperative sensor networks

  • Author

    Chen, Yifan

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Newcastle Univ., Newcastle upon Tyne, UK
  • fYear
    2012
  • fDate
    15-17 Aug. 2012
  • Firstpage
    763
  • Lastpage
    768
  • Abstract
    We investigate the Chernoff information loss (CIL) characteristics in wireless sensor networks (WSNs) as the sensor attempts to send a 1-bit information about the presence or absence of a phenomenon-of-interest (POI) to a remote data sink through either the single-hop (SH) or multi-hop (MH) wireless connectivity. Firstly, we describe the sensing and communication processes by using the cascaded discrete memoryless channels (DMCs), which can be represented as an equivalent sensing channel (ESC). We then define a typical ESC and derive its Chernoff information. Both the decode-and-forward (DF) and amplify-and-forward (AF) protocols are studied. Subsequently, we consider a random-walk formulation of the MH relay path, and derive the relationship between the average distance traveled by a virtual POI-marked photon and the number of hops. Finally, the CIL model can be obtained by applying the preceding results, which provide critical insight into the problems of when and how to relay in WSNs. Eventually, this would lead to context and channel aware sensing and communication in future cognitive sensor networks.
  • Keywords
    access protocols; amplify and forward communication; cooperative communication; decode and forward communication; wireless sensor networks; Chernoff information loss; MH relay path; amplify-and-forward protocols; cascaded discrete memoryless channels; channel aware sensing; context aware sensing; cooperative sensor networks; decode-and-forward protocols; equivalent sensing channel; multihop wireless connectivity; phenomenon-of-interest; random-walk formulation; remote data sink; single-hop wireless connectivity; virtual POI-marked photon; wireless sensor networks; Monte Carlo methods; Photonics; Relays; Sensors; Signal to noise ratio; Wireless communication; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications in China (ICCC), 2012 1st IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-2814-2
  • Electronic_ISBN
    978-1-4673-2813-5
  • Type

    conf

  • DOI
    10.1109/ICCChina.2012.6356986
  • Filename
    6356986