Discover Topology Using Connectivities A distributed coordinate-free topology aware algorithm called Triangular Mesh Self-organized self- Healing (3MeSH) is introduced to detect boundaries of coverage holes using connectivity information, and recover such holes by activating the minimum number of redundant nodes using a distributed iterative process. A routing hole can be detected in almost the same way as a coverage hole, therefore routing holes, jamming holes, sink/black holes and worm holes may also be detected or avoided using exactly the same algorithm (3MeSH). A probabilistic model is also introduced to calculate the probability of triangulation for any position in a randomly deployed sensor network given the node density. Another mathematical model is introduced to calculate the mean size of holes. Based on these models, the expected number of holes and the probability of complete coverage are formulated for a sensor network with any node density and target area.
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Discover Topology Using Connectivities A distributed coordinate-free topology aware algorithm called Triangular Mesh Self-organized self- Healing (3MeSH) is introduced to detect boundaries of coverage holes using connectivity information, and recover such holes by activating the minimum number of redundant nodes using a distributed iterative process. A routing hole can be detected in almost the same way as a coverage hole, therefore routing holes, jamming holes, sink/black holes and worm holes may also be detected or avoided using exactly the same algorithm (3MeSH). A probabilistic model is also introduced to calculate the probability of triangulation for any position in a randomly deployed sensor network given the node density. Another mathematical model is introduced to calculate the mean size of holes. Based on these models, the expected number of holes and the probability of complete coverage are formulated for a sensor network with any node density and target area.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Discover Topology Using Connectivities A distributed coordinate-free topology aware algorithm called Triangular Mesh Self-organized self- Healing (3MeSH) is introduced to detect boundaries of coverage holes using connectivity information, and recover such holes by activating the minimum number of redundant nodes using a distributed iterative process. A routing hole can be detected in almost the same way as a coverage hole, therefore routing holes, jamming holes, sink/black holes and worm holes may also be detected or avoided using exactly the same algorithm (3MeSH). A probabilistic model is also introduced to calculate the probability of triangulation for any position in a randomly deployed sensor network given the node density. Another mathematical model is introduced to calculate the mean size of holes. Based on these models, the expected number of holes and the probability of complete coverage are formulated for a sensor network with any node density and target area. 108 pp. Englisch. N° de réf. du vendeur 9783838369341
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Li XiaoyunXiaoyun Li is a postdoctorate researcher in the UCD Complex and Adaptive Systems Laboratory University College Dublin. Before joining UCD, he worked as a postdoctorate researcher at University of Essex in 2008. His other . N° de réf. du vendeur 5417247
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Discover Topology Using Connectivities A distributed coordinate-free topology aware algorithm called Triangular Mesh Self-organized self- Healing (3MeSH) is introduced to detect boundaries of coverage holes using connectivity information, and recover such holes by activating the minimum number of redundant nodes using a distributed iterative process. A routing hole can be detected in almost the same way as a coverage hole, therefore routing holes, jamming holes, sink/black holes and worm holes may also be detected or avoided using exactly the same algorithm (3MeSH). A probabilistic model is also introduced to calculate the probability of triangulation for any position in a randomly deployed sensor network given the node density. Another mathematical model is introduced to calculate the mean size of holes. Based on these models, the expected number of holes and the probability of complete coverage are formulated for a sensor network with any node density and target area.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. N° de réf. du vendeur 9783838369341
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Discover Topology Using Connectivities A distributed coordinate-free topology aware algorithm called Triangular Mesh Self-organized self- Healing (3MeSH) is introduced to detect boundaries of coverage holes using connectivity information, and recover such holes by activating the minimum number of redundant nodes using a distributed iterative process. A routing hole can be detected in almost the same way as a coverage hole, therefore routing holes, jamming holes, sink/black holes and worm holes may also be detected or avoided using exactly the same algorithm (3MeSH). A probabilistic model is also introduced to calculate the probability of triangulation for any position in a randomly deployed sensor network given the node density. Another mathematical model is introduced to calculate the mean size of holes. Based on these models, the expected number of holes and the probability of complete coverage are formulated for a sensor network with any node density and target area. N° de réf. du vendeur 9783838369341
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Taschenbuch. Etat : Neu. Topology Discovery Using Binary Connectivity Information | Distributed topology-aware algorithms and topology control probabilistic analysis for wireless sensor networks | Xiaoyun Li | Taschenbuch | 108 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838369341 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 101095324
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