Sinopsis
Wireless sensor networks have been envisioned to be useful in many government forces and civilian applications like for habitat monitoring and target tracking in air force, battlefield surveillance and so on.The problem of least-latency end-to-end multicast routing over adaptively duty-cycled wireless sensor networks when considered. Such networks exhibit a time-dependent feature, where the link cost and transmission latency from one node to other nodes vary constantly in different discrete time moments. It presents distributed algorithm for finding the time-dependent shortest paths to the sink node for all nodes. It presents distributed shortest path maintenance algorithms with low message complexity and space complexity. It proposes suboptimal implementation by using vector compression mechanism.
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Reseña del editor
Wireless sensor networks have been envisioned to be useful in many government forces and civilian applications like for habitat monitoring and target tracking in air force, battlefield surveillance and so on.The problem of least-latency end-to-end multicast routing over adaptively duty-cycled wireless sensor networks when considered. Such networks exhibit a time-dependent feature, where the link cost and transmission latency from one node to other nodes vary constantly in different discrete time moments. It presents distributed algorithm for finding the time-dependent shortest paths to the sink node for all nodes. It presents distributed shortest path maintenance algorithms with low message complexity and space complexity. It proposes suboptimal implementation by using vector compression mechanism.
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Designing Multicast Wireless Sensor Network
Publicado por
LAP Lambert Academic Publishing Aug 2015, 2015
ISBN 10: 3659748331
ISBN 13: 9783659748332
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Wireless sensor networks have been envisioned to be useful in many government forces and civilian applications like for habitat monitoring and target tracking in air force, battlefield surveillance and so on.The problem of least-latency end-to-end multicast routing over adaptively duty-cycled wireless sensor networks when considered. Such networks exhibit a time-dependent feature, where the link cost and transmission latency from one node to other nodes vary constantly in different discrete time moments. It presents distributed algorithm for finding the time-dependent shortest paths to the sink node for all nodes. It presents distributed shortest path maintenance algorithms with low message complexity and space complexity. It proposes suboptimal implementation by using vector compression mechanism. 52 pp. Englisch. Nº de ref. del artículo: 9783659748332
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Designing Multicast Wireless Sensor Network
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ISBN 10: 3659748331
ISBN 13: 9783659748332
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Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pradhan PradhnyaPradhnya S. Pradhan, M.E.: Wireless Communication and Computing, Assistant Professor at St. Francis Institute of Technology (Engineering College), Mumbai.Wireless sensor networks have been envisioned to be useful . Nº de ref. del artículo: 158224338
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Designing Multicast Wireless Sensor Network
Publicado por
LAP LAMBERT Academic Publishing Aug 2015, 2015
ISBN 10: 3659748331
ISBN 13: 9783659748332
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Wireless sensor networks have been envisioned to be useful in many government forces and civilian applications like for habitat monitoring and target tracking in air force, battlefield surveillance and so on.The problem of least-latency end-to-end multicast routing over adaptively duty-cycled wireless sensor networks when considered. Such networks exhibit a time-dependent feature, where the link cost and transmission latency from one node to other nodes vary constantly in different discrete time moments. It presents distributed algorithm for finding the time-dependent shortest paths to the sink node for all nodes. It presents distributed shortest path maintenance algorithms with low message complexity and space complexity. It proposes suboptimal implementation by using vector compression mechanism.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Nº de ref. del artículo: 9783659748332
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Designing Multicast Wireless Sensor Network
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LAP Lambert Academic Publishing, 2015
ISBN 10: 3659748331
ISBN 13: 9783659748332
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Wireless sensor networks have been envisioned to be useful in many government forces and civilian applications like for habitat monitoring and target tracking in air force, battlefield surveillance and so on.The problem of least-latency end-to-end multicast routing over adaptively duty-cycled wireless sensor networks when considered. Such networks exhibit a time-dependent feature, where the link cost and transmission latency from one node to other nodes vary constantly in different discrete time moments. It presents distributed algorithm for finding the time-dependent shortest paths to the sink node for all nodes. It presents distributed shortest path maintenance algorithms with low message complexity and space complexity. It proposes suboptimal implementation by using vector compression mechanism. Nº de ref. del artículo: 9783659748332
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Designing Multicast Wireless Sensor Network
Publicado por
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ISBN 10: 3659748331
ISBN 13: 9783659748332
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Librería: preigu, Osnabrück, Alemania
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Taschenbuch. Condición: Neu. Designing Multicast Wireless Sensor Network | Pradhnya Pradhan (u. a.) | Taschenbuch | 52 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659748332 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 104349553
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