AENEAS: An energy-aware simulator of automatic weather stations
Automatic weather stations (AWSs) are widely used for an environmental sensing in harsh environments such as Antarctica, high mountains, and deserts. As these systems are often deployed far from mains power sources, they are usually equipped with rechargeable batteries and energy harvesting systems....
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ftunivpisairis:oai:arpi.unipi.it:11568/556067 2023-11-12T04:08:21+01:00 AENEAS: An energy-aware simulator of automatic weather stations D. Cesarini L. Cassano M. Kuri V. Bilas AVVENUTI, MARCO D., Cesarini L., Cassano M., Kuri V., Bila Avvenuti, Marco 2014 http://hdl.handle.net/11568/556067 https://doi.org/10.1109/JSEN.2014.2353011 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000346967700005 volume:14 issue:11 firstpage:3932 lastpage:3943 numberofpages:12 journal:IEEE SENSORS JOURNAL http://hdl.handle.net/11568/556067 doi:10.1109/JSEN.2014.2353011 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84907528961 Automatic weather station computer-aided design energy harvesting glaciology power model simulation sensing harsh environments info:eu-repo/semantics/article 2014 ftunivpisairis https://doi.org/10.1109/JSEN.2014.2353011 2023-10-17T21:45:58Z Automatic weather stations (AWSs) are widely used for an environmental sensing in harsh environments such as Antarctica, high mountains, and deserts. As these systems are often deployed far from mains power sources, they are usually equipped with rechargeable batteries and energy harvesting systems. Predeployment configuration of an AWS is a challenging task, as designers have to face with contrasting energy-related choices, the correct tradeoff of which determines the success of the AWS’s mission and its survivability. Among them, the most effective are the energy harvesting technology, size of the battery, and frequency of sensing and communication. In this paper, we describe AENEAS, an energy-aware simulator of AWSs that allows designers to assess the impact of hardware and software choices on the energy evolution of the system. The tool is extensively configurable, thus enabling the simulation of a large number of hardware configurations as well as of the sensing and communication applications running on the AWS. The simulator has been validated by comparing results computed by AENEAS with data collected from two real-world AWSs installed on an alpine glacier and in a urban environment, obtaining a high accuracy in both cases. A number of use cases are discussed to demonstrate how AENEAS can be used to assess the impact on the energy behavior of the AWS of different batteries, energy harvesters, and application behaviors. Article in Journal/Newspaper Antarc* Antarctica ARPI - Archivio della Ricerca dell'Università di Pisa IEEE Sensors Journal 14 11 3932 3943 |
institution |
Open Polar |
collection |
ARPI - Archivio della Ricerca dell'Università di Pisa |
op_collection_id |
ftunivpisairis |
language |
English |
topic |
Automatic weather station computer-aided design energy harvesting glaciology power model simulation sensing harsh environments |
spellingShingle |
Automatic weather station computer-aided design energy harvesting glaciology power model simulation sensing harsh environments D. Cesarini L. Cassano M. Kuri V. Bilas AVVENUTI, MARCO AENEAS: An energy-aware simulator of automatic weather stations |
topic_facet |
Automatic weather station computer-aided design energy harvesting glaciology power model simulation sensing harsh environments |
description |
Automatic weather stations (AWSs) are widely used for an environmental sensing in harsh environments such as Antarctica, high mountains, and deserts. As these systems are often deployed far from mains power sources, they are usually equipped with rechargeable batteries and energy harvesting systems. Predeployment configuration of an AWS is a challenging task, as designers have to face with contrasting energy-related choices, the correct tradeoff of which determines the success of the AWS’s mission and its survivability. Among them, the most effective are the energy harvesting technology, size of the battery, and frequency of sensing and communication. In this paper, we describe AENEAS, an energy-aware simulator of AWSs that allows designers to assess the impact of hardware and software choices on the energy evolution of the system. The tool is extensively configurable, thus enabling the simulation of a large number of hardware configurations as well as of the sensing and communication applications running on the AWS. The simulator has been validated by comparing results computed by AENEAS with data collected from two real-world AWSs installed on an alpine glacier and in a urban environment, obtaining a high accuracy in both cases. A number of use cases are discussed to demonstrate how AENEAS can be used to assess the impact on the energy behavior of the AWS of different batteries, energy harvesters, and application behaviors. |
author2 |
D., Cesarini L., Cassano M., Kuri V., Bila Avvenuti, Marco |
format |
Article in Journal/Newspaper |
author |
D. Cesarini L. Cassano M. Kuri V. Bilas AVVENUTI, MARCO |
author_facet |
D. Cesarini L. Cassano M. Kuri V. Bilas AVVENUTI, MARCO |
author_sort |
D. Cesarini |
title |
AENEAS: An energy-aware simulator of automatic weather stations |
title_short |
AENEAS: An energy-aware simulator of automatic weather stations |
title_full |
AENEAS: An energy-aware simulator of automatic weather stations |
title_fullStr |
AENEAS: An energy-aware simulator of automatic weather stations |
title_full_unstemmed |
AENEAS: An energy-aware simulator of automatic weather stations |
title_sort |
aeneas: an energy-aware simulator of automatic weather stations |
publishDate |
2014 |
url |
http://hdl.handle.net/11568/556067 https://doi.org/10.1109/JSEN.2014.2353011 |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000346967700005 volume:14 issue:11 firstpage:3932 lastpage:3943 numberofpages:12 journal:IEEE SENSORS JOURNAL http://hdl.handle.net/11568/556067 doi:10.1109/JSEN.2014.2353011 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84907528961 |
op_doi |
https://doi.org/10.1109/JSEN.2014.2353011 |
container_title |
IEEE Sensors Journal |
container_volume |
14 |
container_issue |
11 |
container_start_page |
3932 |
op_container_end_page |
3943 |
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1782328673485979648 |