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        <identifier>oai:drops-oai.dagstuhl.de:11350</identifier>
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          <dc:title>Brief Announcement: Neighborhood Mutual Remainder and Its Self-Stabilizing Implementation of Look-Compute-Move Robots</dc:title>
          <dc:creator>Dolev, Shlomi</dc:creator>
          <dc:creator>Kamei, Sayaka</dc:creator>
          <dc:creator>Katayama, Yoshiaki</dc:creator>
          <dc:creator>Ooshita, Fukuhito</dc:creator>
          <dc:creator>Wada, Koichi</dc:creator>
          <dc:subject>neighborhood mutual remainder</dc:subject>
          <dc:subject>self-stabilization</dc:subject>
          <dc:subject>LCM robot</dc:subject>
          <dc:description>In this paper, we define a new concept neighborhood mutual remainder (NMR). An NMR distributed algorithms should satisfy global fairness, l-exclusion and repeated local rendezvous requirements. We give a simple self-stabilizing algorithm to demonstrate the design paradigm to achieve NMR, and also present applications of NMR to a Look-Compute-Move robot system.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Shlomi Dolev and Sayaka Kamei and Yoshiaki Katayama and Fukuhito Ooshita and Koichi Wada</dc:contributor>
          <dc:date>2019</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 146, 33rd International Symposium on Distributed Computing (DISC 2019)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.DISC.2019.43</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-113504</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2019.43</dc:identifier>
          <dc:language>eng</dc:language>
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