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<item>
  <id>05887550</id>
  <dt>a</dt>
  <an>05887550</an>
  <augroup>
    <au>Kowalski, Dariusz R.</au>
    <au>Rokicki, Mariusz A.</au>
  </augroup>
  <ti>Multi-channel assignment for communication in radio networks.</ti>
  <so>Marchetti-Spaccamela, Alberto (ed.) et al., Theory and practice of algorithms in (computer) systems. First international ICST conference, TAPAS 2011, Rome, Italy, April 18--20, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-19753-6/pbk). Lecture Notes in Computer Science 6595, 181-192 (2011).</so>
  <py>2011</py>
  <pu>Berlin: Springer</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1007/978-3-642-19754-3_19</li>
  </ligroup>
  <abgroup>
    <ab>Summary: We study three communication primitives in wireless radio networks: Connectivity, One-Receiver, and Gossiping. Radio networks are modeled by undirected graphs of general topology. We consider centralized solutions to the abovementioned problems. In Connectivity and One-Receiver problems, we study the impact of multi-channel assignment to the hardness and approximation of computing of assignments with the minimum number of channels. More precisely, we show that both Connectivity and One-Reciver are $\Omega (\log n)$-inapproximable, unless $\text{{\it NP}} \subset \text{{\sc Dtime}} (n^{\log\log n})$. We also give polynomial time algorithms computing multi-channel assignments using at most $3(\Delta + \ln ^{2} n)$ channels for connectivity and at most $\Delta $ channels for one-receiver problem, where $n$ is the number of nodes and $\Delta $ is the maximum node degree in the graph. Finally, in case of the classical gossiping problem, related to the connectivity problem, we show that it is NP-complete.</ab>
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