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Comput.</a> <a href="/?q=in%3A442834" title="Articles in this Issue">32, No. 6, 493-504 (2019)</a>. </div> <div class="abstract"><div class="pre">Summary: We consider the problem of searching on a line using \(n\) mobile robots, of which at most \(f\) are faulty, and the remaining are reliable. The robots start at the same location and move in parallel along the line with the same speed. There is a <span class="zbmathjax-textit">target</span> placed on the line at a location unknown to the robots. Reliable robots can find the target when they reach its location, but faulty robots cannot detect the target. Our goal is to design a parallel algorithm minimizing the competitive ratio, represented by the worst case ratio between the time of arrival of the first reliable robot at the target, and the distance from the source to the target. If \(n \ge 2f+2\), there is a simple algorithm with a competitive ratio of 1. For \(f< n < 2f+2\) we develop a new class of algorithms, called <span class="zbmathjax-textit">proportional schedule algorithms</span>. For any given \((n, f)\), we give a proportional schedule algorithm \(A(n, f)\), whose competitive ratio is \[( \frac{4f+4}{n} ) ^{\frac{2f+2}{n}} ( \frac{4f+4}{n} -2 ) ^{1-\frac{2f+2}{n}} + 1. \] Setting \(a=n/f\) as a constant, the asymptotic competitive ratio is \(\left( 4/a \right) ^{2/a} \left( 4/a -2\right) ^{1-2/a } + 1\). Our search algorithm is easily seen to be optimal for the case \(n=f+1\). We also show that as \(n\) tends to \(\infty\) the competitive ratio of our algorithm for the case \(n = 2f+1\) approaches 3 and this is optimal. More precisely, we show that asymptotically (after excluding small order terms), the competitive ratio of our proportional schedule algorithm \(A(2f+1,f)\) is at most \(3 + \frac{4\ln n}{n} \), while any search algorithm has a lower bound \(3 + \frac{2\ln n}{n}\) on its competitive ratio.</div></div> <div class="clear"></div> <br> <div class="citations"><div class="clear"><a href="/?q=rf%3A7137738">Cited in <strong>10</strong> Documents</a></div></div> <div class="classification"> <h3>MSC:</h3> <table><tr> <td> <a class="mono" href="/classification/?q=cc%3A68W10" title="MSC2020">68W10</a> </td> <td class="space"> Parallel algorithms in computer science </td> </tr><tr> <td> <a class="mono" href="/classification/?q=cc%3A68M14" title="MSC2020">68M14</a> </td> <td class="space"> Distributed systems </td> </tr><tr> <td> <a class="mono" href="/classification/?q=cc%3A68M15" title="MSC2020">68M15</a> </td> <td class="space"> Reliability, testing and fault tolerance of networks and computer systems </td> </tr><tr> <td> <a class="mono" href="/classification/?q=cc%3A68M20" title="MSC2020">68M20</a> </td> <td class="space"> Performance evaluation, queueing, and scheduling in the context of computer systems </td> </tr></table> </div><div class="keywords"> <h3>Keywords:</h3><a href="/?q=ut%3Asearch+on+a+line">search on a line</a>; <a href="/?q=ut%3Afaulty+robots">faulty robots</a>; <a href="/?q=ut%3Acow-path+problem">cow-path problem</a>; <a href="/?q=ut%3Acompetitive+ratio">competitive ratio</a></div> <!-- Modal used to show zbmath metadata in different output formats--> <div class="modal fade" id="metadataModal" tabindex="-1" role="dialog" aria-labelledby="myModalLabel"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> <h4 class="modal-title" id="myModalLabel">Cite</h4> </div> <div class="modal-body"> <div class="form-group"> <label for="select-output" class="control-label">Format</label> <select id="select-output" class="form-control" aria-label="Select Metadata format"></select> </div> <div class="form-group"> <label for="metadataText" class="control-label">Result</label> <textarea class="form-control" id="metadataText" rows="10" style="min-width: 100%;max-width: 100%"></textarea> </div> <div id="metadata-alert" class="alert alert-danger" role="alert" style="display: none;"> <!-- alert for connection errors etc --> </div> </div> <div class="modal-footer"> <button type="button" class="btn btn-primary" onclick="copyMetadata()">Copy to clipboard</button> <button type="button" class="btn btn-default" data-dismiss="modal">Close</button> </div> </div> </div> </div> <div class="functions clearfix"> <div class="function"> <!-- Button trigger metadata modal --> <a type="button" class="btn btn-default btn-xs pdf" data-toggle="modal" data-target="#metadataModal" data-itemtype="Zbl" data-itemname="Zbl 1440.68321" data-ciurl="/ci/07137738" data-biburl="/bibtex/07137738.bib" data-amsurl="/amsrefs/07137738.bib" data-xmlurl="/xml/07137738.xml" > Cite </a> <a class="btn btn-default btn-xs pdf" data-container="body" type="button" href="/pdf/07137738.pdf" title="Zbl 1440.68321 as PDF">Review PDF</a> </div> <div class="fulltexts"> <span class="fulltext">Full Text:</span> <a class="btn btn-default btn-xs" type="button" href="https://doi.org/10.1007/s00446-017-0296-0" aria-label="DOI for “Search on a line with faulty robots”" title="10.1007/s00446-017-0296-0">DOI</a> </div> <div class="sfx" style="float: right;"> </div> </div> <div class="references"> <h3>References:</h3> <table><tr> <td>[1]</td> <td class="space">Agmon, N.; Peleg, D., Fault-tolerant gathering algorithms for autonomous mobile robots, SIAM J. Comput., 36, 56-82 (2006) · <a href="/1111.68136" class="nowrap">Zbl 1111.68136</a> · <a href="https://doi.org/10.1137/050645221" class="nowrap">doi:10.1137/050645221</a></td> </tr><tr> <td>[2]</td> <td class="space">Albers, S.; Henzinger, MR, Exploring unknown environments, SIAM J. Comput., 29, 1164-1188 (2000) · <a href="/0947.68165" class="nowrap">Zbl 0947.68165</a> · <a href="https://doi.org/10.1137/S009753979732428X" class="nowrap">doi:10.1137/S009753979732428X</a></td> </tr><tr> <td>[3]</td> <td class="space">Albers, S.; Kursawe, K.; Schuierer, S., Exploring unknown environments with obstacles, Algorithmica, 32, 123-143 (2002) · <a href="/1052.68127" class="nowrap">Zbl 1052.68127</a> · <a href="https://doi.org/10.1007/s00453-001-0067-x" class="nowrap">doi:10.1007/s00453-001-0067-x</a></td> </tr><tr> <td>[4]</td> <td class="space">Alpern, S., Gal, S.: The Theory of Search Games and Rendezvous, vol. 55. Kluwer Academic Publishers, Alphen aan den Rijn (2002) · <a href="/1034.91017" class="nowrap">Zbl 1034.91017</a></td> </tr><tr> <td>[5]</td> <td class="space">Alpern, S., Fokkink, R., Gasieniec, L., Lindelauf, R., Subrahmanian, V.S.: Search theory: a game-theoretic perspective. Springer Science & Business Media, Berlin (2014) · <a href="/1263.91001" class="nowrap">Zbl 1263.91001</a></td> </tr><tr> <td>[6]</td> <td class="space">Baeza Yates, R.; Culberson, J.; Rawlins, G., Searching in the plane, Inf. Comput., 106, 234-252 (1993) · <a href="/0781.68044" class="nowrap">Zbl 0781.68044</a> · <a href="https://doi.org/10.1006/inco.1993.1054" class="nowrap">doi:10.1006/inco.1993.1054</a></td> </tr><tr> <td>[7]</td> <td class="space">Baeza-Yates, R.; Schott, R., Parallel searching in the plane, Comput. Geom., 5, 143-154 (1995) · <a href="/0839.68104" class="nowrap">Zbl 0839.68104</a> · <a href="https://doi.org/10.1016/0925-7721(95)00003-R" class="nowrap">doi:10.1016/0925-7721(95)00003-R</a></td> </tr><tr> <td>[8]</td> <td class="space">Beck, A., On the linear search problem, Isr. J. Math., 2, 221-228 (1964) · <a href="/0168.39502" class="nowrap">Zbl 0168.39502</a> · <a href="https://doi.org/10.1007/BF02759737" class="nowrap">doi:10.1007/BF02759737</a></td> </tr><tr> <td>[9]</td> <td class="space">Beck, A.; Newman, D., Yet more on the linear search problem, Isr. J. 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