Sinossi
Wireless Sensor Network (WSN) consists of large number of small sensors with limited energy available at their disposal. Sensor network offers a powerful combination of distributed sensing, computing and communication capabilities. They lend themselves to support countless applications however at the same time, offer numerous challenges due to their peculiar characteristics - primarily the stringent energy-availability constraints of sensing-nodes that WSNs are typically subjected to. Prolonged network lifetime, scalability, node mobility and load balancing are important considerations for designing the WSN application architectures. Clustering of sensor nodes is one of the effective techniques to achieve these goals.The main idea behind the scheme is to minimise the communication distance between the individual sensor nodes using the clustering technique.
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Improved Clustering Model in Wireless Sensor Network
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LAP LAMBERT Academic Publishing Jun 2020, 2020
ISBN 10: 6202671750
ISBN 13: 9786202671750
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Wireless Sensor Network (WSN) consists of large number of small sensors with limited energy available at their disposal. Sensor network offers a powerful combination of distributed sensing, computing and communication capabilities. They lend themselves to support countless applications however at the same time, offer numerous challenges due to their peculiar characteristics - primarily the stringent energy-availability constraints of sensing-nodes that WSNs are typically subjected to. Prolonged network lifetime, scalability, node mobility and load balancing are important considerations for designing the WSN application architectures. Clustering of sensor nodes is one of the effective techniques to achieve these goals.The main idea behind the scheme is to minimise the communication distance between the individual sensor nodes using the clustering technique. 68 pp. Englisch. Codice articolo 9786202671750
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Improved Clustering Model in Wireless Sensor Network
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ISBN 10: 6202671750
ISBN 13: 9786202671750
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Improved Clustering Model in Wireless Sensor Network
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ISBN 13: 9786202671750
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Improved Clustering Model in Wireless Sensor Network
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Improved Clustering Model in Wireless Sensor Network
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Improved Clustering Model in Wireless Sensor Network
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LAP LAMBERT Academic Publishing Jun 2020, 2020
ISBN 10: 6202671750
ISBN 13: 9786202671750
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Wireless Sensor Network (WSN) consists of large number of small sensors with limited energy available at their disposal. Sensor network offers a powerful combination of distributed sensing, computing and communication capabilities. They lend themselves to support countless applications however at the same time, offer numerous challenges due to their peculiar characteristics - primarily the stringent energy-availability constraints of sensing-nodes that WSNs are typically subjected to. Prolonged network lifetime, scalability, node mobility and load balancing are important considerations for designing the WSN application architectures. Clustering of sensor nodes is one of the effective techniques to achieve these goals.The main idea behind the scheme is to minimise the communication distance between the individual sensor nodes using the clustering technique.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. Codice articolo 9786202671750
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Improved Clustering Model in Wireless Sensor Network
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LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202671750
ISBN 13: 9786202671750
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Wireless Sensor Network (WSN) consists of large number of small sensors with limited energy available at their disposal. Sensor network offers a powerful combination of distributed sensing, computing and communication capabilities. They lend themselves to support countless applications however at the same time, offer numerous challenges due to their peculiar characteristics - primarily the stringent energy-availability constraints of sensing-nodes that WSNs are typically subjected to. Prolonged network lifetime, scalability, node mobility and load balancing are important considerations for designing the WSN application architectures. Clustering of sensor nodes is one of the effective techniques to achieve these goals.The main idea behind the scheme is to minimise the communication distance between the individual sensor nodes using the clustering technique. Codice articolo 9786202671750
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Improved Clustering Model in Wireless Sensor Network
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Taschenbuch. Condizione: Neu. Improved Clustering Model in Wireless Sensor Network | Pallab Banerjee (u. a.) | Taschenbuch | 68 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202671750 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 118752765
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