*banner
 

Modeling Network Lifetime in a WSN using Visual Sense
Ricardo Gonzalez

Citation
Ricardo Gonzalez. "Modeling Network Lifetime in a WSN using Visual Sense". Talk or presentation, 16, April, 2009; Poster presented at the 8th Biennial Ptolemy Miniconference.

Abstract
There are many QoS metrics that could be used to measure the performance of a network, elapse time and throughput are two of the most common ones, but in a wireless sensor network -due to its battery power resource limitations-, its lifetime has become one of the most relevant metrics. Network Lifetime is normally used as an optimization parameter, where a larger lifetime will be better, but in some applications could be even more interesting to consider network lifetime as a constrain, in order to warrant a minimum operation lifetime that enables the network to reach its goals [Min04], [Ami07]. The recent advances on micro electronics, wireless communications, and battery technology have enabled some devices to operate with common batteries in large periods of time, that range from some days to some months, and even years. Developing real experiments to evaluate the impact of implemented strategies on this time scale can be impractical. Due to this fact a better strategy would be to develop analytical or simulation model to determine if a wireless sensor network would perform a reliable operation through the whole period of time that will be needed. In this work we describe some techniques and strategies that we are using to model a wireless sensor networks lifetime with the support of VisualSense-PtolemyII modeling tool.

Electronic downloads

Citation formats  
  • HTML
    Ricardo Gonzalez. <a
    href="http://chess.eecs.berkeley.edu/pubs/565.html"
    ><i>Modeling Network Lifetime in a WSN using Visual
    Sense</i></a>, Talk or presentation,  16, April,
    2009; Poster presented at the 8th Biennial Ptolemy
    Miniconference.
  • Plain text
    Ricardo Gonzalez. "Modeling Network Lifetime in a WSN
    using Visual Sense". Talk or presentation,  16, April,
    2009; Poster presented at the 8th Biennial Ptolemy
    Miniconference.
  • BibTeX
    @presentation{Gonzalez09_ModelingNetworkLifetimeInWSNUsingVisualSense,
        author = {Ricardo Gonzalez},
        title = {Modeling Network Lifetime in a WSN using Visual
                  Sense},
        day = {16},
        month = {April},
        year = {2009},
        note = {Poster presented at the 8th Biennial Ptolemy
                  Miniconference.},
        abstract = {There are many QoS metrics that could be used to
                  measure the performance of a network, elapse time
                  and throughput are two of the most common ones,
                  but in a wireless sensor network -due to its
                  battery power resource limitations-, its lifetime
                  has become one of the most relevant metrics.
                  Network Lifetime is normally used as an
                  optimization parameter, where a larger lifetime
                  will be better, but in some applications could be
                  even more interesting to consider network lifetime
                  as a constrain, in order to warrant a minimum
                  operation lifetime that enables the network to
                  reach its goals [Min04], [Ami07]. The recent
                  advances on micro electronics, wireless
                  communications, and battery technology have
                  enabled some devices to operate with common
                  batteries in large periods of time, that range
                  from some days to some months, and even years.
                  Developing real experiments to evaluate the impact
                  of implemented strategies on this time scale can
                  be impractical. Due to this fact a better strategy
                  would be to develop analytical or simulation model
                  to determine if a wireless sensor network would
                  perform a reliable operation through the whole
                  period of time that will be needed. In this work
                  we describe some techniques and strategies that we
                  are using to model a wireless sensor networks
                  lifetime with the support of VisualSense-PtolemyII
                  modeling tool.},
        URL = {http://chess.eecs.berkeley.edu/pubs/565.html}
    }
    

Posted by Christopher Brooks on 17 Apr 2009.
Groups: ptolemy
For additional information, see the Publications FAQ or contact webmaster at chess eecs berkeley edu.

Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright.

©2002-2018 Chess