Frezzetti, Antonio
(2016)
Design and control approaches for energy harvesting wireless sensor networks.
[Tesi di dottorato]
| Tipologia del documento: |
Tesi di dottorato
|
| Lingua: |
English |
| Titolo: |
Design and control approaches for energy harvesting wireless sensor networks |
| Autori: |
| Autore | Email |
|---|
| Frezzetti, Antonio | antonio.frezzetti@unina.it |
|
| Data: |
31 Marzo 2016 |
| Numero di pagine: |
168 |
| Istituzione: |
Università degli Studi di Napoli Federico II |
| Dipartimento: |
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: |
| nome | email |
|---|
| Garofalo, Franco | franco.garofalo@unina.it |
|
| Tutor: |
| nome | email |
|---|
| Manfredi, Sabato | [non definito] | | Bisogno, Antonio | [non definito] |
|
| Data: |
31 Marzo 2016 |
| Numero di pagine: |
168 |
| Parole chiave: |
Energy Harvesting, Wireless Sensor Networks, Energy Autonomy |
| Settori scientifico-disciplinari del MIUR: |
Area 09 - Ingegneria industriale e dell'informazione > ING-INF/04 - Automatica |
[error in script]
[error in script]
| Depositato il: |
03 Mag 2016 13:04 |
| Ultima modifica: |
31 Ott 2016 11:28 |
| URI: |
http://www.fedoa.unina.it/id/eprint/10989 |
Abstract
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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