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Taschenbuch. Condition: Neu. 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 RangeBooks on Demand GmbH, Überseering 33, 22297 Hamburg 128 pp. Englisch.
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Taschenbuch. Condition: 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.
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Condition: 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 .
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Published by LAP LAMBERT Academic Publishing, 2016
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Taschenbuch. Condition: 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.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Adwitiya Sinha is working as Associate Professor in the Department of Natural and Applied Sciences, TERI School of Advanced Studies since February 2024. Previously, she served academics & research for approximately 11 years in the Departme.