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.
"synopsis" may belong to another edition of this title.
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: 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. Seller Inventory # 9783659716775
Seller: moluna, Greven, Germany
Kartoniert / Broschiert. Condition: 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. Seller Inventory # 302611349
Quantity: Over 20 available
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: 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. Seller Inventory # 117024627
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: 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. Seller Inventory # 9783659716775
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: 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. Seller Inventory # 9783659716775
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 308 pages. 8.66x5.91x0.70 inches. In Stock. Seller Inventory # __3659716774
Quantity: 1 available