Inhaltsangabe
Wireless Sensor network (WSN) is a collection of sensor nodes deployed in an ad hoc manner. Some of its limitations are in terms of limited energy resource, lifetime, memory, processing power, bandwidth and large latencies. It is battery powered and is deployed in remote areas. Due to these limitations, data aggregation and data analysis is a huge concern for sensor networks. Localized measurements and detailed information of each sensor is gathered as it has personal and direct connection with the physical environment. The data is concern with different data classes and different data formats. Data needs to be converted in different formats for generating information which results in data mining. Once the data has been gathered, the user can process and store the data to perform complex filtering and action triggering functions. Until now, the data analysis of WSN is done on the application basis. We propose a single point interface for data analysis of the data gathered or collected through wireless sensor networks. Thus, the researchers can now avail the facility of any type of data analysis for data gathered through WSN using the interface which we provide.
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Über die Autorin bzw. den Autor
Dr. Neetu Agarwal is working as Head, Department of Computer Science in Pacific University, Udaipur (Rajasthan). She has 14 years of teaching experience for UG and PG classes. Has published 18 research papers in various International and Nation reputed journals in the field of Mobile Cloud Computing, Data Mining, WSN (Wireless Sensor Networks).
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Wireless Sensor network (WSN) is a collection of sensor nodes deployed in an ad hoc manner. Some of its limitations are in terms of limited energy resource, lifetime, memory, processing power, bandwidth and large latencies. It is battery powered and is deployed in remote areas. Due to these limitations, data aggregation and data analysis is a huge concern for sensor networks. Localized measurements and detailed information of each sensor is gathered as it has personal and direct connection with the physical environment. The data is concern with different data classes and different data formats. Data needs to be converted in different formats for generating information which results in data mining. Once the data has been gathered, the user can process and store the data to perform complex filtering and action triggering functions. Until now, the data analysis of WSN is done on the application basis. We propose a single point interface for data analysis of the data gathered or collected through wireless sensor networks. Thus, the researchers can now avail the facility of any type of data analysis for data gathered through WSN using the interface which we provide. 160 pp. Englisch. Bestandsnummer des Verkäufers 9786138961482
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Taschenbuch. Zustand: Neu. Single Point Interface For Data Gathered Using WSN | Neetu Agarwal (u. a.) | Taschenbuch | Englisch | 2021 | Scholars' Press | EAN 9786138961482 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 120770177
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Wireless Sensor network (WSN) is a collection of sensor nodes deployed in an ad hoc manner. Some of its limitations are in terms of limited energy resource, lifetime, memory, processing power, bandwidth and large latencies. It is battery powered and is deployed in remote areas. Due to these limitations, data aggregation and data analysis is a huge concern for sensor networks. Localized measurements and detailed information of each sensor is gathered as it has personal and direct connection with the physical environment. The data is concern with different data classes and different data formats. Data needs to be converted in different formats for generating information which results in data mining. Once the data has been gathered, the user can process and store the data to perform complex filtering and action triggering functions. Until now, the data analysis of WSN is done on the application basis. We propose a single point interface for data analysis of the data gathered or collected through wireless sensor networks. Thus, the researchers can now avail the facility of any type of data analysis for data gathered through WSN using the interface which we provide.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 160 pp. Englisch. Bestandsnummer des Verkäufers 9786138961482
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Wireless Sensor network (WSN) is a collection of sensor nodes deployed in an ad hoc manner. Some of its limitations are in terms of limited energy resource, lifetime, memory, processing power, bandwidth and large latencies. It is battery powered and is deployed in remote areas. Due to these limitations, data aggregation and data analysis is a huge concern for sensor networks. Localized measurements and detailed information of each sensor is gathered as it has personal and direct connection with the physical environment. The data is concern with different data classes and different data formats. Data needs to be converted in different formats for generating information which results in data mining. Once the data has been gathered, the user can process and store the data to perform complex filtering and action triggering functions. Until now, the data analysis of WSN is done on the application basis. We propose a single point interface for data analysis of the data gathered or collected through wireless sensor networks. Thus, the researchers can now avail the facility of any type of data analysis for data gathered through WSN using the interface which we provide. Bestandsnummer des Verkäufers 9786138961482
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