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Due to the reliance on battery, energy consumption of WSNs has always been the most significant concern. In this work, a method which involves the design of a transaction / system-level based SystemC simulation environment for WSNs energy exploration, and the building of a hardware platform for the real world testbed node measurements to calibrate simulation, is therefore employed to guarantee the accuracy of the energy evaluation on WSNs. To accelerate and optimize the evaluation process, a genetic algorithm (GA) based optimization framework is implemented by MATLAB. The optimization framework attached with our SystemC simulation environment can efficiently, automatically and intelligently fine tune thousands of potential solutions to find the most suitable tradeoff between energy consumption and other metrics under multi- scenario / objective conditions. With our designed evaluation tools, elaborate energy consumption of several popular node platform based networks are investigated, and comprehensive energy-saving strategies are also given. Hence, these analysis could help shed some light for developers and researchers who focus on the energy-efficient WSNs design.
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Dr. Nanhao Zhu is a technical consultant of communication network designing and planning at GCI Science & Technology Co., LTD. Canton, China. He completed his Ph.D in Wireless Sensor Networks at Ecole Centrale de Lyon, France, in 2013. He also received his M.S. and B.S. degrees from Communication University of China in 2010 and 2008, respectively.
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Simulation and Optimization of Energy Consumption on WSNs
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Simulation and Optimization of Energy Consumption on WSNs
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Simulation and Optimization of Energy Consumption on WSNs
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 3639661028
ISBN 13: 9783639661026
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Simulation and Optimization of Energy Consumption on WSNs
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Due to the reliance on battery, energy consumption of WSNs has always been the most significant concern. In this work, a method which involves the design of a transaction / system-level based SystemC simulation environment for WSNs energy exploration, and the building of a hardware platform for the real world testbed node measurements to calibrate simulation, is therefore employed to guarantee the accuracy of the energy evaluation on WSNs. To accelerate and optimize the evaluation process, a genetic algorithm (GA) based optimization framework is implemented by MATLAB. The optimization framework attached with our SystemC simulation environment can efficiently, automatically and intelligently fine tune thousands of potential solutions to find the most suitable tradeoff between energy consumption and other metrics under multi- scenario / objective conditions. With our designed evaluation tools, elaborate energy consumption of several popular node platform based networks are investigated, and comprehensive energy-saving strategies are also given. Hence, these analysis could help shed some light for developers and researchers who focus on the energy-efficient WSNs design. 328 pp. Englisch. Bestandsnummer des Verkäufers 9783639661026
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Due to the reliance on battery, energy consumption of WSNs has always been the most significant concern. In this work, a method which involves the design of a transaction / system-level based SystemC simulation environment for WSNs energy exploration, and the building of a hardware platform for the real world testbed node measurements to calibrate simulation, is therefore employed to guarantee the accuracy of the energy evaluation on WSNs. To accelerate and optimize the evaluation process, a genetic algorithm (GA) based optimization framework is implemented by MATLAB. The optimization framework attached with our SystemC simulation environment can efficiently, automatically and intelligently fine tune thousands of potential solutions to find the most suitable tradeoff between energy consumption and other metrics under multi- scenario / objective conditions. With our designed evaluation tools, elaborate energy consumption of several popular node platform based networks are investigated, and comprehensive energy-saving strategies are also given. Hence, these analysis could help shed some light for developers and researchers who focus on the energy-efficient WSNs design. Bestandsnummer des Verkäufers 9783639661026
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Zhu NanhaoDr. Nanhao Zhu is a technical consultant of communication network designing and planning at GCI Science & Technology Co., LTD. Canton, China. He completed his Ph.D in Wireless Sensor Networks at Ecole Centrale de Lyon, Fran. Bestandsnummer des Verkäufers 4996427
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Simulation and Optimization of Energy Consumption on WSNs
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Due to the reliance on battery, energy consumption of WSNs has always been the most significant concern. In this work, a method which involves the design of a transaction / system-level based SystemC simulation environment for WSNs energy exploration, and the building of a hardware platform for the real world testbed node measurements to calibrate simulation, is therefore employed to guarantee the accuracy of the energy evaluation on WSNs. To accelerate and optimize the evaluation process, a genetic algorithm (GA) based optimization framework is implemented by MATLAB. The optimization framework attached with our SystemC simulation environment can efficiently, automatically and intelligently fine tune thousands of potential solutions to find the most suitable tradeoff between energy consumption and other metrics under multi- scenario / objective conditions. With our designed evaluation tools, elaborate energy consumption of several popular node platform based networks are investigated, and comprehensive energy-saving strategies are also given. Hence, these analysis could help shed some light for developers and researchers who focus on the energy-efficient WSNs design.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 328 pp. Englisch. Bestandsnummer des Verkäufers 9783639661026
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Taschenbuch. Zustand: Neu. Simulation and Optimization of Energy Consumption on WSNs | Nanhao Zhu | Taschenbuch | 328 S. | Englisch | 2014 | Scholars' Press | EAN 9783639661026 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 105210916
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