A wireless sensor network (WSN) helps in monitoring and controlling the physical world. It is especially useful in catastrophic or emergency scenario where human participation may be too dangerous. The latest generation of sensors encompasses self organizing, flexible and scalable networks. The energy is a critical factor in order to extend the network lifetime as the sensor nodes once deployed cannot be recharged. In a WSN, the energy consumption can be reduced by using heterogeneity and clustering that in turn prolongs the lifetime of sensor networks. In this book, we have discussed the following Algorithms for heterogeneity wireless sensor network. Distributed Algorithms for Maximizing Lifetime of WSN with Heterogeneity for Adjustable Sensing Range Distributed Algorithms for Maximizing Lifetime of WSN with Heterogeneity and Adjustable Range for Different Deployment Strategies Energy-Efficient Data Gathering Algorithms for Improving Lifetime of WSN with Heterogeneity and Adjustable Sensing Range
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
A wireless sensor network (WSN) helps in monitoring and controlling the physical world. It is especially useful in catastrophic or emergency scenario where human participation may be too dangerous. The latest generation of sensors encompasses self organizing, flexible and scalable networks. The energy is a critical factor in order to extend the network lifetime as the sensor nodes once deployed cannot be recharged. In a WSN, the energy consumption can be reduced by using heterogeneity and clustering that in turn prolongs the lifetime of sensor networks. In this book, we have discussed the following Algorithms for heterogeneity wireless sensor network. Distributed Algorithms for Maximizing Lifetime of WSN with Heterogeneity for Adjustable Sensing Range Distributed Algorithms for Maximizing Lifetime of WSN with Heterogeneity and Adjustable Range for Different Deployment Strategies Energy-Efficient Data Gathering Algorithms for Improving Lifetime of WSN with Heterogeneity and Adjustable Sensing Range
Samayveer Singh received his B.Tech. in IT from U.P.T.U., Lucknow, India, and M.Tech. degree in CSE from N.I.T., Jalandhar, India and PhD in Computer Engineering from NSIT, New Delhi, India. Presently, he is Assistant Professor in CSE at Bennett University, Noida, India. His research interest includes wireless sensor networks and Image processing.
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 -A wireless sensor network (WSN) helps in monitoring and controlling the physical world. It is especially useful in catastrophic or emergency scenario where human participation may be too dangerous. The latest generation of sensors encompasses self organizing, flexible and scalable networks. The energy is a critical factor in order to extend the network lifetime as the sensor nodes once deployed cannot be recharged. In a WSN, the energy consumption can be reduced by using heterogeneity and clustering that in turn prolongs the lifetime of sensor networks. In this book, we have discussed the following Algorithms for heterogeneity wireless sensor network. Distributed Algorithms for Maximizing Lifetime of WSN with Heterogeneity for Adjustable Sensing Range Distributed Algorithms for Maximizing Lifetime of WSN with Heterogeneity and Adjustable Range for Different Deployment Strategies Energy-Efficient Data Gathering Algorithms for Improving Lifetime of WSN with Heterogeneity and Adjustable Sensing Range 128 pp. Englisch. N° de réf. du vendeur 9783659883712
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Singh SamayveerSamayveer Singh received his B.Tech. in IT from U.P.T.U., Lucknow, India, and M.Tech. degree in CSE from N.I.T., Jalandhar, India and PhD in Computer Engineering from NSIT, New Delhi, India. Presently, he is Assistant . N° de réf. du vendeur 385770174
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -A wireless sensor network (WSN) helps in monitoring and controlling the physical world. It is especially useful in catastrophic or emergency scenario where human participation may be too dangerous. The latest generation of sensors encompasses self organizing, flexible and scalable networks. The energy is a critical factor in order to extend the network lifetime as the sensor nodes once deployed cannot be recharged. In a WSN, the energy consumption can be reduced by using heterogeneity and clustering that in turn prolongs the lifetime of sensor networks. In this book, we have discussed the following Algorithms for heterogeneity wireless sensor network. Distributed Algorithms for Maximizing Lifetime of WSN with Heterogeneity for Adjustable Sensing Range Distributed Algorithms for Maximizing Lifetime of WSN with Heterogeneity and Adjustable Range for Different Deployment Strategies Energy-Efficient Data Gathering Algorithms for Improving Lifetime of WSN with Heterogeneity and Adjustable Sensing RangeVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch. N° de réf. du vendeur 9783659883712
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A wireless sensor network (WSN) helps in monitoring and controlling the physical world. It is especially useful in catastrophic or emergency scenario where human participation may be too dangerous. The latest generation of sensors encompasses self organizing, flexible and scalable networks. The energy is a critical factor in order to extend the network lifetime as the sensor nodes once deployed cannot be recharged. In a WSN, the energy consumption can be reduced by using heterogeneity and clustering that in turn prolongs the lifetime of sensor networks. In this book, we have discussed the following Algorithms for heterogeneity wireless sensor network. Distributed Algorithms for Maximizing Lifetime of WSN with Heterogeneity for Adjustable Sensing Range Distributed Algorithms for Maximizing Lifetime of WSN with Heterogeneity and Adjustable Range for Different Deployment Strategies Energy-Efficient Data Gathering Algorithms for Improving Lifetime of WSN with Heterogeneity and Adjustable Sensing Range. N° de réf. du vendeur 9783659883712
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Taschenbuch. Etat : Neu. Performance Analysis on Distributed & Centralized Algorithms in WSNs | Heterogeneity in WSNs | Samayveer Singh (u. a.) | Taschenbuch | 128 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659883712 | 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 103577259
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