Intelligent Energy Management for Environmental Monitoring Systems
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Intelligent Energy Management for Environmental Monitoring Systems
Original language description
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.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Smart Sensors Networks: Communication Technologies and Intelligent Applications
ISBN
978-0-12-809865-3
Number of pages of the result
28
Pages from-to
67-94
Number of pages of the book
366
Publisher name
Elsevier Inc.
Place of publication
London
UT code for WoS chapter
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