Frezzetti, Antonio (2016) Design and control approaches for energy harvesting wireless sensor networks. [Tesi di dottorato]


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Item Type: Tesi di dottorato
Lingua: English
Title: Design and control approaches for energy harvesting wireless sensor networks
Date: 31 March 2016
Number of Pages: 168
Institution: Università degli Studi di Napoli Federico II
Department: Ingegneria Elettrica e delle Tecnologie dell'Informazione
Scuola di dottorato: Ingegneria dell'informazione
Dottorato: Ingegneria informatica ed automatica
Ciclo di dottorato: 27
Coordinatore del Corso di dottorato:
Manfredi, SabatoUNSPECIFIED
Bisogno, AntonioUNSPECIFIED
Date: 31 March 2016
Number of Pages: 168
Uncontrolled Keywords: Energy Harvesting, Wireless Sensor Networks, Energy Autonomy
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-INF/04 - Automatica
Date Deposited: 03 May 2016 13:04
Last Modified: 31 Oct 2016 11:28


Wireless Networks are monitoring infrastructures composed of sensing (measuring), computing, and communication devices used to observe, supervise and monitor environmental phenomena. Energy Harvesting Wireless Sensor Networks (EH-WSN) have the additional feature to save energy from the environment in order to ensure long life autonomy of the entire network, without ideally the human intervention over long periods of time. The present work is aimed to address some of the most significant limitations of the actual EH-WSN, making a step forward the perpetual operation of EH-WSN. In this dissertation, design methodology and management policies are proposed to improve EH-WSN in terms of application performances, traffic congestion and energy efficiency. The study explicitly targets to energy-efficient affordable ways to develop more reliable and trustworthy EH-WSN, capable to ensure long life and desired performances. The presentation is organized into two macro sections, or Parts: the first one is dedicated to design the main EH-WSN hardware and software parameters that affect the energy efficiency of a sensor node, while in the second part three dynamic control strategies are proposed to outperform the EH-WSN in terms of energy efficiency, traffic congestion and application requirements.

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