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Research Paper (postgraduate) from the year 2016 in the subject Computer Science - Internet, New Technologies, , language: English, abstract: Due to the success of rapidly evolving wireless sensor networks (WSN), innovating localization techniques have been proposed by researchers all over the world. Since wireless sensor nodes are small devices with limited processing power and the channel conditions are difficult to predict, therefore, there is a desperate need of a low complexity algorithm that can efficiently identify channel condition and select an appropriate method of localization. Related to this, I present in this article a novel localization scheme that is very efficient in detecting the location in real world environment which is usually a mixed case of line of sight and non-line of sight. Simulation results show that this scheme reduces the delays in localization and increases the lifetime of nodes while maintain a fairly low mean estimation error. The results also demonstrate that this scheme performs fairly well even when there are limited numbers of anchor nodes.

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Furqan Jameel
Editore: GRIN Verlag Aug 2016, 2016
ISBN 10: 3656988153 ISBN 13: 9783656988151
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Research Paper (postgraduate) from the year 2016 in the subject Computer Science - Internet, New Technologies, , language: English, abstract: Due to the success of rapidly evolving wireless sensor networks (WSN), innovating localization techniques have been proposed by researchers all over the world. Since wireless sensor nodes are small devices with limited processing power and the channel conditions are difficult to predict, therefore, there is a desperate need of a low complexity algorithm that can efficiently identify channel condition and select an appropriate method of localization. Related to this, I present in this article a novel localization scheme that is very efficient in detecting the location in real world environment which is usually a mixed case of line of sight and non-line of sight. Simulation results show that this scheme reduces the delays in localization and increases the lifetime of nodes while maintain a fairly low mean estimation error. The results also demonstrate that this scheme performs fairly well even when there are limited numbers of anchor nodes. 16 pp. Englisch. Codice articolo 9783656988151

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Furqan Jameel
Editore: GRIN Verlag, 2016
ISBN 10: 3656988153 ISBN 13: 9783656988151
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Research Paper (postgraduate) from the year 2016 in the subject Computer Science - Internet, New Technologies, , language: English, abstract: Due to the success of rapidly evolving wireless sensor networks (WSN), innovating localization techniques have been proposed by researchers all over the world. Since wireless sensor nodes are small devices with limited processing power and the channel conditions are difficult to predict, therefore, there is a desperate need of a low complexity algorithm that can efficiently identify channel condition and select an appropriate method of localization. Related to this, I present in this article a novel localization scheme that is very efficient in detecting the location in real world environment which is usually a mixed case of line of sight and non-line of sight. Simulation results show that this scheme reduces the delays in localization and increases the lifetime of nodes while maintain a fairly low mean estimation error. The results also demonstrate that this scheme performs fairly well even when there are limited numbers of anchor nodes. Codice articolo 9783656988151

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Furqan Jameel
Editore: GRIN Verlag, 2016
ISBN 10: 3656988153 ISBN 13: 9783656988151
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Taschenbuch. Condizione: Neu. Minimizing Localization Delays (MILD) for Wireless Sensor Networks | Furqan Jameel | Taschenbuch | 16 S. | Englisch | 2016 | GRIN Verlag | EAN 9783656988151 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. Codice articolo 103488680

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