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<item>
  <id>06060029</id>
  <dt>a</dt>
  <an>06060029</an>
  <augroup>
    <au>Li, Wenli</au>
  </augroup>
  <ti>PSO based wireless sensor networks coverage optimization on DEMs.</ti>
  <so>Huang, De-Shuang (ed.) et al., Advanced intelligent computing theories and applications. With aspects of artificial intelligence. 7th international conference, ICIC 2011, Zhengzhou, China, August 11--14, 2011. Revised selected papers. Berlin: Springer (ISBN 978-3-642-25943-2/pbk). Lecture Notes in Computer Science 6839. Lecture Notes in Artificial Intelligence, 371-378 (2012).</so>
  <py>2012</py>
  <pu>Berlin: Springer</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>wireless sensor networks</ut>
    <ut>coverage</ut>
    <ut>digital elevation model</ut>
    <ut>particle swarm optimization</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1007/978-3-642-25944-9_48</li>
  </ligroup>
  <abgroup>
    <ab>Summary: Wireless Sensor Networks (WSNs) coverage optimization is to maximize the coverage of WSNs while keeping service quality. This paper extends the problem to 2.5D and studies PSO based WSNs coverage optimization on Digital Elevation Models (DEMs). To compute network coverage on DEMs, a method of computing individual sensor node coverage is introduced. This paper also proposes an improved algorithm based on Dissipative Particle Swarm Optimization (DPSO). Simulation experiments show that the algorithm can effectively improve WSNs coverage on DEMs.</ab>
    <rv></rv>
  </abgroup>
</item>