Abstract
Duplication of information allows distributed systems to recover from data errors, or faults. If faults occur spontaneously, without notification, and disguised incorrect data blends in with correct data, their detection becomes non-trivial. Known solutions for fault recovery use monitoring mechanisms that compare the data in multiple nodes to infer the occurrence of faults. To this end, we propose a localized geometric approach to fault recovery in wireless networks. We compare our approach with a more traditional combinatorial approach that uses a majority rule. Our experiments show that our geometric approach is an improvement over the majority rule in some cases, whereas in the other cases a hybrid method that combines the best of both strategies is superior to each individual method.
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Meijer, H., Núñez-Rodríguez, Y., Rappaport, D. (2010). Fault Recovery in Wireless Networks: The Geometric Recolouring Approach. In: Festa, P. (eds) Experimental Algorithms. SEA 2010. Lecture Notes in Computer Science, vol 6049. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13193-6_40
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DOI: https://doi.org/10.1007/978-3-642-13193-6_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13192-9
Online ISBN: 978-3-642-13193-6
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