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Topology Discovery Using Binary Connectivity Information: Distributed topology-aware algorithms and topology control probabilistic analysis for wireless sensor networks - Softcover
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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.
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Topology Discovery Using Binary Connectivity Information
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LAP LAMBERT Academic Publishing Mai 2010, 2010
ISBN 10: 3838369343
ISBN 13: 9783838369341
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Taschenbuch. Condition: 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. Seller Inventory # 9783838369341
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Topology Discovery Using Binary Connectivity Information : Distributed topology-aware algorithms and topology control probabilistic analysis for wireless sensor networks
Published by
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838369343
ISBN 13: 9783838369341
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Taschenbuch. Condition: 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. Seller Inventory # 9783838369341
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Topology Discovery Using Binary Connectivity Information
Published by
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838369343
ISBN 13: 9783838369341
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Condition: 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 . Seller Inventory # 5417247
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Topology Discovery Using Binary Connectivity Information
Published by
LAP LAMBERT Academic Publishing Mai 2010, 2010
ISBN 10: 3838369343
ISBN 13: 9783838369341
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Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 9783838369341
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Topology Discovery Using Binary Connectivity Information | Distributed topology-aware algorithms and topology control probabilistic analysis for wireless sensor networks
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LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838369343
ISBN 13: 9783838369341
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Taschenbuch. Condition: 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. Seller Inventory # 101095324
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Topology Discovery Using Binary Connectivity Information: Distributed topology-aware algorithms and topology control probabilistic analysis for wireless sensor networks
Published by
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838369343
ISBN 13: 9783838369341
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