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        <identifier>oai:drops-oai.dagstuhl.de:9662</identifier>
        <datestamp>2024-03-06T10:44:39Z</datestamp>
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          <dc:title>Tight Bounds for Deterministic h-Shot Broadcast in Ad-Hoc Directed Radio Networks</dc:title>
          <dc:creator>Pagourtzis, Aris</dc:creator>
          <dc:creator>Radzik, Tomasz</dc:creator>
          <dc:subject>Ad-hoc radio networks</dc:subject>
          <dc:subject>wireless networks</dc:subject>
          <dc:subject>deterministic broadcast</dc:subject>
          <dc:subject>adaptive protocols</dc:subject>
          <dc:subject>limited transmissions</dc:subject>
          <dc:description>We consider the classical broadcast problem in ad-hoc (that is, unknown topology) directed radio networks with no collision detection, under the additional assumption that at most h transmissions (shots) are available per node. We focus on adaptive deterministic protocols for small values of h. We provide asymptotically matching lower and upper bounds for the cases h=2 and h=3. While for h=2 our bound is quadratic, similar to the bound obtained for oblivious protocols, for h=3 we prove a sub-quadratic bound of Theta(n^2 log log n / log n), where n is the number of nodes in the network. The latter is the first result showing an adaptive algorithm which is asymptotically faster than oblivious h-shot broadcast protocols, for which a tight quadratic bound is known for every constant h. Our upper bound for h=3 is constructive, making use of constructions of graphs with large girth. We also show an improved upper bound of O(n^(1+alpha/sqrt{h})) for h &gt;= 4, where alpha is an absolute constant independent of h. Our upper bound for h &gt;= 4 is non-constructive.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Aris Pagourtzis and Tomasz Radzik</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 117, 43rd International Symposium on Mathematical Foundations of Computer Science (MFCS 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.MFCS.2018.80</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-96629</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.MFCS.2018.80</dc:identifier>
          <dc:language>eng</dc:language>
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