• DocumentCode
    2943026
  • Title

    On the Selection of Connectivity-Based Metrics for WSNs Using a Classification of Application Behaviour

  • Author

    Boyd, Alan W F ; Balasubramaniam, Dharini ; Dearle, Alan ; Morrison, Ron

  • Author_Institution
    Sch. of Comput. Sci., Univ. of St Andrews, St. Andrews, UK
  • fYear
    2010
  • fDate
    7-9 June 2010
  • Firstpage
    268
  • Lastpage
    275
  • Abstract
    This paper addresses a subset of Wireless Sensor Network (WSN) applications in which data is produced by a set of resource-constrained source nodes and forwarded to one or more sink nodes. The performance of such applications is affected by the connectivity of the WSN, since nodes must remain connected in order to transfer data from sources to sinks. Designers use metrics to measure and improve the efficacy of WSN applications. We aim to facilitate the choice of connectivity-based metrics by introducing a classification of WSN applications based on their data collection behaviour and indicating the metrics best suited to the evaluation of particular application classes. We argue that no suitable metric currently exists for a significant class of applications with the following characteristics: 1) application data is periodically routed or disseminated from source nodes to one or more sink nodes, and 2) the application can continue to function with the loss of source nodes although its useful network lifetime diminishes as a result. We present a new metric, known as Connectivity Weighted Transfer, which may be used to evaluate WSN applications with these characteristics.
  • Keywords
    Application software; Computer networks; Computer science; Humidity measurement; Life estimation; Pervasive computing; Sensor phenomena and characterization; System analysis and design; Temperature sensors; Wireless sensor networks; life estimation; sensor networks; system analysis and design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC), 2010 IEEE International Conference on
  • Conference_Location
    Newport Beach, CA, USA
  • Print_ISBN
    978-1-4244-7087-7
  • Type

    conf

  • DOI
    10.1109/SUTC.2010.44
  • Filename
    5504623