[EAN: 9783659223501], Neubuch, Publisher/Verlag: LAP Lambert Academic Publishing | Localization Using Signal Fingerprinting | In this book a Received Signal Strength (RSS) based indoor lo… Mehr…
[EAN: 9783659223501], Neubuch, Publisher/Verlag: LAP Lambert Academic Publishing | Localization Using Signal Fingerprinting | In this book a Received Signal Strength (RSS) based indoor localization system, dubbed LEMON, based on low-cost low-power wireless devices is proposed, which offers better accuracy than the state-of-the-art. A simple RSS scaling trick is then used to further improve the accuracy of LEMON. Furthermore, we study the effect of the node orientation, the number and the arrangement of the infrastructure nodes and the profiled samples, leading us to further insights about what can be effective node placement and profiling. We also consider alternate formulations of the localization problem, as a Bayesian network model as well as formulated in a combinatorial fashion. Then performance of different localization methods is compared and again LEMON ensures better accuracy. An effective room localization algorithm is developed, and both single and multiple channels are used to test its performance. Furthermore, a set of two-step localization algorithms is designed to make the LEMON robust in the presence of noisy RSS and faulty device behavior. | Format: Paperback | Language/Sprache: english | 160 gr | 220x150x6 mm | 108 pp<
[PU: LAP Lambert Academic Publishing], Das BuchRFbased Indoor Localization in Sensor Networkskönnte eine längere Lieferzeit habenSie zahlen eine Versandpauschale für bis zu fünf Bücher
Ty… Mehr…
[PU: LAP Lambert Academic Publishing], Das BuchRFbased Indoor Localization in Sensor Networkskönnte eine längere Lieferzeit habenSie zahlen eine Versandpauschale für bis zu fünf Bücher
Typ:book
In this book a Received Signal Strength (RSS) based indoor localization system dubbed LEMON based on lowcost lowpower wireless devices is proposed which offers better accuracy than the stateoftheart A simple RSS scaling trick is then used to further improve the accuracy of LEMON Furthermore we study the effect of the node orientation the number and the arrangement of the infrastructure nodes and the profiled samples leading us to further insights about what can be effective node placement and profiling We also consider alternate formulations of the localization problem as a Bayesian network model as well as formulated in a combinatorial fashion Then performance of different localization methods is compared and again LEMON ensures better accuracy An effective room localization algorithm is developed and both single and multiple channels are used to test its performance Furthermore a set of twostep localization algorithms is designed to make the LEMON robust in, [SC: 0.00], Neuware, gewerbliches Angebot, [GW: 2542g]<
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[EAN: 9783659223501], Neubuch, [PU: LAP Lambert Academic Publishing Sep 2012], Neuware - In this book a Received Signal Strength (RSS) based indoor localization system, dubbed LEMON, base… Mehr…
[EAN: 9783659223501], Neubuch, [PU: LAP Lambert Academic Publishing Sep 2012], Neuware - In this book a Received Signal Strength (RSS) based indoor localization system, dubbed LEMON, based on low-cost low-power wireless devices is proposed, which offers better accuracy than the state-of-the-art. A simple RSS scaling trick is then used to further improve the accuracy of LEMON. Furthermore, we study the effect of the node orientation, the number and the arrangement of the infrastructure nodes and the profiled samples, leading us to further insights about what can be effective node placement and profiling. We also consider alternate formulations of the localization problem, as a Bayesian network model as well as formulated in a combinatorial fashion. Then performance of different localization methods is compared and again LEMON ensures better accuracy. An effective room localization algorithm is developed, and both single and multiple channels are used to test its performance. Furthermore, a set of two-step localization algorithms is designed to make the LEMON robust in the presence of noisy RSS and faulty device behavior. 108 pp. Englisch<
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(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
In this book a Received Signal Strength (RSS) based indoor localization system, dubbed LEMON, based on low-cost low-power wireless devices is proposed, which offers better accuracy than t… Mehr…
In this book a Received Signal Strength (RSS) based indoor localization system, dubbed LEMON, based on low-cost low-power wireless devices is proposed, which offers better accuracy than the state-of-the-art. A simple RSS scaling trick is then used to further improve the accuracy of LEMON. Furthermore, we study the effect of the node orientation, the number and the arrangement of the infrastructure nodes and the profiled samples, leading us to further insights about what can be effective node placement and profiling. We also consider alternate formulations of the localization problem, as a Bayesian network model as well as formulated in a combinatorial fashion. Then performance of different localization methods is compared and again LEMON ensures better accuracy. An effective room localization algorithm is developed, and both single and multiple channels are used to test its performance. Furthermore, a set of two-step localization algorithms is designed to make the LEMON robust in the presence of noisy RSS and faulty device behavior. Bücher, Hörbücher & Kalender / Bücher / Sachbuch / Computer & IT / Netzwerke & Internet<
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(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
In this book a Received Signal Strength (RSS) based indoor localization system, dubbed LEMON, based on low-cost low-power wireless devices is proposed, which offers better accuracy than t… Mehr…
In this book a Received Signal Strength (RSS) based indoor localization system, dubbed LEMON, based on low-cost low-power wireless devices is proposed, which offers better accuracy than the state-of-the-art. A simple RSS scaling trick is then used to further improve the accuracy of LEMON. Furthermore, we study the effect of the node orientation, the number and the arrangement of the infrastructure nodes and the profiled samples, leading us to further insights about what can be effective node placement and profiling. We also consider alternate formulations of the localization problem, as a Bayesian network model as well as formulated in a combinatorial fashion. Then performance of different localization methods is compared and again LEMON ensures better accuracy. An effective room localization algorithm is developed, and both single and multiple channels are used to test its performance. Furthermore, a set of two-step localization algorithms is designed to make the LEMON robust in the presence of noisy RSS and faulty device behavior. RF-based Indoor Localization in Sensor Networks Haque, Israat Tanzeena<
[EAN: 9783659223501], Neubuch, Publisher/Verlag: LAP Lambert Academic Publishing | Localization Using Signal Fingerprinting | In this book a Received Signal Strength (RSS) based indoor lo… Mehr…
[EAN: 9783659223501], Neubuch, Publisher/Verlag: LAP Lambert Academic Publishing | Localization Using Signal Fingerprinting | In this book a Received Signal Strength (RSS) based indoor localization system, dubbed LEMON, based on low-cost low-power wireless devices is proposed, which offers better accuracy than the state-of-the-art. A simple RSS scaling trick is then used to further improve the accuracy of LEMON. Furthermore, we study the effect of the node orientation, the number and the arrangement of the infrastructure nodes and the profiled samples, leading us to further insights about what can be effective node placement and profiling. We also consider alternate formulations of the localization problem, as a Bayesian network model as well as formulated in a combinatorial fashion. Then performance of different localization methods is compared and again LEMON ensures better accuracy. An effective room localization algorithm is developed, and both single and multiple channels are used to test its performance. Furthermore, a set of two-step localization algorithms is designed to make the LEMON robust in the presence of noisy RSS and faulty device behavior. | Format: Paperback | Language/Sprache: english | 160 gr | 220x150x6 mm | 108 pp<
[PU: LAP Lambert Academic Publishing], Das BuchRFbased Indoor Localization in Sensor Networkskönnte eine längere Lieferzeit habenSie zahlen eine Versandpauschale für bis zu fünf Bücher
Ty… Mehr…
[PU: LAP Lambert Academic Publishing], Das BuchRFbased Indoor Localization in Sensor Networkskönnte eine längere Lieferzeit habenSie zahlen eine Versandpauschale für bis zu fünf Bücher
Typ:book
In this book a Received Signal Strength (RSS) based indoor localization system dubbed LEMON based on lowcost lowpower wireless devices is proposed which offers better accuracy than the stateoftheart A simple RSS scaling trick is then used to further improve the accuracy of LEMON Furthermore we study the effect of the node orientation the number and the arrangement of the infrastructure nodes and the profiled samples leading us to further insights about what can be effective node placement and profiling We also consider alternate formulations of the localization problem as a Bayesian network model as well as formulated in a combinatorial fashion Then performance of different localization methods is compared and again LEMON ensures better accuracy An effective room localization algorithm is developed and both single and multiple channels are used to test its performance Furthermore a set of twostep localization algorithms is designed to make the LEMON robust in, [SC: 0.00], Neuware, gewerbliches Angebot, [GW: 2542g]<
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[EAN: 9783659223501], Neubuch, [PU: LAP Lambert Academic Publishing Sep 2012], Neuware - In this book a Received Signal Strength (RSS) based indoor localization system, dubbed LEMON, base… Mehr…
[EAN: 9783659223501], Neubuch, [PU: LAP Lambert Academic Publishing Sep 2012], Neuware - In this book a Received Signal Strength (RSS) based indoor localization system, dubbed LEMON, based on low-cost low-power wireless devices is proposed, which offers better accuracy than the state-of-the-art. A simple RSS scaling trick is then used to further improve the accuracy of LEMON. Furthermore, we study the effect of the node orientation, the number and the arrangement of the infrastructure nodes and the profiled samples, leading us to further insights about what can be effective node placement and profiling. We also consider alternate formulations of the localization problem, as a Bayesian network model as well as formulated in a combinatorial fashion. Then performance of different localization methods is compared and again LEMON ensures better accuracy. An effective room localization algorithm is developed, and both single and multiple channels are used to test its performance. Furthermore, a set of two-step localization algorithms is designed to make the LEMON robust in the presence of noisy RSS and faulty device behavior. 108 pp. Englisch<
- NEW BOOK. Versandkosten:Versandkostenfrei. (EUR 0.00) BuchWeltWeit Inh. Ludwig Meier e.K., Bergisch Gladbach, Germany [57449362] [Rating: 5 (von 5)]
In this book a Received Signal Strength (RSS) based indoor localization system, dubbed LEMON, based on low-cost low-power wireless devices is proposed, which offers better accuracy than t… Mehr…
In this book a Received Signal Strength (RSS) based indoor localization system, dubbed LEMON, based on low-cost low-power wireless devices is proposed, which offers better accuracy than the state-of-the-art. A simple RSS scaling trick is then used to further improve the accuracy of LEMON. Furthermore, we study the effect of the node orientation, the number and the arrangement of the infrastructure nodes and the profiled samples, leading us to further insights about what can be effective node placement and profiling. We also consider alternate formulations of the localization problem, as a Bayesian network model as well as formulated in a combinatorial fashion. Then performance of different localization methods is compared and again LEMON ensures better accuracy. An effective room localization algorithm is developed, and both single and multiple channels are used to test its performance. Furthermore, a set of two-step localization algorithms is designed to make the LEMON robust in the presence of noisy RSS and faulty device behavior. Bücher, Hörbücher & Kalender / Bücher / Sachbuch / Computer & IT / Netzwerke & Internet<
Nr. PT5CQTR9D30. Versandkosten:, Lieferzeit: 5 Tage, DE. (EUR 0.00)
In this book a Received Signal Strength (RSS) based indoor localization system, dubbed LEMON, based on low-cost low-power wireless devices is proposed, which offers better accuracy than t… Mehr…
In this book a Received Signal Strength (RSS) based indoor localization system, dubbed LEMON, based on low-cost low-power wireless devices is proposed, which offers better accuracy than the state-of-the-art. A simple RSS scaling trick is then used to further improve the accuracy of LEMON. Furthermore, we study the effect of the node orientation, the number and the arrangement of the infrastructure nodes and the profiled samples, leading us to further insights about what can be effective node placement and profiling. We also consider alternate formulations of the localization problem, as a Bayesian network model as well as formulated in a combinatorial fashion. Then performance of different localization methods is compared and again LEMON ensures better accuracy. An effective room localization algorithm is developed, and both single and multiple channels are used to test its performance. Furthermore, a set of two-step localization algorithms is designed to make the LEMON robust in the presence of noisy RSS and faulty device behavior. RF-based Indoor Localization in Sensor Networks Haque, Israat Tanzeena<
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