Intelligent Energy Management for Environmental Monitoring Systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10238701" target="_blank" >RIV/61989100:27240/17:10238701 - isvavai.cz</a>

Výsledek na webu

<a href="https://linkinghub.elsevier.com/retrieve/pii/B978012809859200005X" target="_blank" >https://linkinghub.elsevier.com/retrieve/pii/B978012809859200005X</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/B978-0-12-809859-2.00005-X" target="_blank" >10.1016/B978-0-12-809859-2.00005-X</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Intelligent Energy Management for Environmental Monitoring Systems

Popis výsledku v původním jazyce

Remote environmental monitoring systems require sophisticated energy management to achieve long-term operation with minimal maintenance. This chapter uses monitoring of terrestrial ecosystems as an example to develop a general structure of environmental monitoring systems and to exemplify typical sensors used for measuring environmental conditions and their typical energy requirements. It shows that the way energy is provided and used determines how long a system can operate without the need for replenishment. This can be controlled by a number of power management techniques, usually combined into energy management strategies with the goal to minimize energy consumption while keeping the quality of service at a desirable level. An overview of common power management techniques is presented and extended by developing the principles for design, testing and evaluation of ensuing energy management strategies. Several examples of recently developed techniques and strategies based on methods of computational intelligence are described to demonstrate advantages of using intelligent methods in environmental monitoring system (EMS) control. The chapter concludes by providing a summary of energy management in EMS and outlining the current trends in their development and evaluation. © 2017 Elsevier Inc. All rights reserved.

Název v anglickém jazyce

Intelligent Energy Management for Environmental Monitoring Systems

Popis výsledku anglicky

Remote environmental monitoring systems require sophisticated energy management to achieve long-term operation with minimal maintenance. This chapter uses monitoring of terrestrial ecosystems as an example to develop a general structure of environmental monitoring systems and to exemplify typical sensors used for measuring environmental conditions and their typical energy requirements. It shows that the way energy is provided and used determines how long a system can operate without the need for replenishment. This can be controlled by a number of power management techniques, usually combined into energy management strategies with the goal to minimize energy consumption while keeping the quality of service at a desirable level. An overview of common power management techniques is presented and extended by developing the principles for design, testing and evaluation of ensuing energy management strategies. Several examples of recently developed techniques and strategies based on methods of computational intelligence are described to demonstrate advantages of using intelligent methods in environmental monitoring system (EMS) control. The chapter concludes by providing a summary of energy management in EMS and outlining the current trends in their development and evaluation. © 2017 Elsevier Inc. All rights reserved.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Smart Sensors Networks: Communication Technologies and Intelligent Applications

ISBN

978-0-12-809865-3

Počet stran výsledku

28

Strana od-do

67-94

Počet stran knihy

366

Název nakladatele

Elsevier Inc.

Místo vydání

London

Kód UT WoS kapitoly

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