The Internet of Things is finally blooming through diverse applications, from home automation and monitoring to health tracking and quantified-self movement. Consumers deploy more and more low-rate and low-power connected devices that provide complex services. However, indoor positioning of devices using only their radio interface is still very imprecise. In this scenario, positioning these intelligent objects in their environment is necessary to provide geo-localized services, as well as to optimize the network operation. Such geo-localized services should be offered with inexpensive smart objects without any central computation point, tedious calibration or intervention from a human. Toward this book, localization algorithms including distributed one are proposed and improved RSSI-based indoor localization accuracy results. Such refined positions are estimated by a wireless/sensor node. Simulation as well as experimental results obtained on real testbeds show a centimeter-level accuracy.
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N.Amy Dieng is graduated from the University of Technology of Troyes : master degree (engineer diploma) in computer science. She received its Ph.D in computer science with honors in 2014, funded by Orange Labs between Telecom Bretagne and Telecom ParisTech. She is currently working as an IT security and audit management expert.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The Internet of Things is finally blooming through diverse applications, from home automation and monitoring to health tracking and quantified-self movement. Consumers deploy more and more low-rate and low-power connected devices that provide complex services. However, indoor positioning of devices using only their radio interface is still very imprecise. In this scenario, positioning these intelligent objects in their environment is necessary to provide geo-localized services, as well as to optimize the network operation. Such geo-localized services should be offered with inexpensive smart objects without any central computation point, tedious calibration or intervention from a human. Toward this book, localization algorithms including distributed one are proposed and improved RSSI-based indoor localization accuracy results. Such refined positions are estimated by a wireless/sensor node. Simulation as well as experimental results obtained on real testbeds show a centimeter-level accuracy. 308 pp. Englisch. Bestandsnummer des Verkäufers 9783659716775
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Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dieng N deye AmyN.Amy Dieng is graduated from the University of Technology of Troyes : master degree (engineer diploma) in computer science. She received its Ph.D in computer science with honors in 2014, funded by Orange Labs between. Bestandsnummer des Verkäufers 302611349
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Taschenbuch. Zustand: Neu. Distributed localization algorithms-indoor 802.15.4 wireless networks | N'deye Amy Dieng | Taschenbuch | 308 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9783659716775 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 117024627
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The Internet of Things is finally blooming through diverse applications, from home automation and monitoring to health tracking and quantified-self movement. Consumers deploy more and more low-rate and low-power connected devices that provide complex services. However, indoor positioning of devices using only their radio interface is still very imprecise. In this scenario, positioning these intelligent objects in their environment is necessary to provide geo-localized services, as well as to optimize the network operation. Such geo-localized services should be offered with inexpensive smart objects without any central computation point, tedious calibration or intervention from a human. Toward this book, localization algorithms including distributed one are proposed and improved RSSI-based indoor localization accuracy results. Such refined positions are estimated by a wireless/sensor node. Simulation as well as experimental results obtained on real testbeds show a centimeter-level accuracy.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 308 pp. Englisch. Bestandsnummer des Verkäufers 9783659716775
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Internet of Things is finally blooming through diverse applications, from home automation and monitoring to health tracking and quantified-self movement. Consumers deploy more and more low-rate and low-power connected devices that provide complex services. However, indoor positioning of devices using only their radio interface is still very imprecise. In this scenario, positioning these intelligent objects in their environment is necessary to provide geo-localized services, as well as to optimize the network operation. Such geo-localized services should be offered with inexpensive smart objects without any central computation point, tedious calibration or intervention from a human. Toward this book, localization algorithms including distributed one are proposed and improved RSSI-based indoor localization accuracy results. Such refined positions are estimated by a wireless/sensor node. Simulation as well as experimental results obtained on real testbeds show a centimeter-level accuracy. Bestandsnummer des Verkäufers 9783659716775
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Paperback. Zustand: Brand New. 308 pages. 8.66x5.91x0.70 inches. In Stock. Bestandsnummer des Verkäufers __3659716774
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