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Drone Network Design for Environmental Emergency Response in the Brazilian Amazon
We introduce a facility-location allocation model to design a drone-based environmental response network, where are used to verify complaints and to gather information to support emergency response missions. Assuming a centralized network operated out-of-sight, we propose a discrete facility locatio...
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creator | Custodio, Janiele Abeledo, Hernan |
description | We introduce a facility-location allocation model to design a drone-based environmental response network, where are used to verify complaints and to gather information to support emergency response missions. Assuming a centralized network operated out-of-sight, we propose a discrete facility location-allocation model with mobile servers that seeks to find the minimal cost configuration that meets response time targets. A case study is conducted for the municipality of. Ji-Parana, in the Brazilian Amazon, using spatiotemporal data from satellite imagery and mobile data. Sensitivity analysis is conducted to understand how the model performs under various demand scenarios and capacity restrictions. |
doi_str_mv | 10.1109/ICT-DM58371.2023.10286956 |
format | conference_proceeding |
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Assuming a centralized network operated out-of-sight, we propose a discrete facility location-allocation model with mobile servers that seeks to find the minimal cost configuration that meets response time targets. A case study is conducted for the municipality of. Ji-Parana, in the Brazilian Amazon, using spatiotemporal data from satellite imagery and mobile data. 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Assuming a centralized network operated out-of-sight, we propose a discrete facility location-allocation model with mobile servers that seeks to find the minimal cost configuration that meets response time targets. A case study is conducted for the municipality of. Ji-Parana, in the Brazilian Amazon, using spatiotemporal data from satellite imagery and mobile data. Sensitivity analysis is conducted to understand how the model performs under various demand scenarios and capacity restrictions.</description><subject>amazon rainforest</subject><subject>Batteries</subject><subject>Costs</subject><subject>deforestation</subject><subject>drones</subject><subject>emergency response</subject><subject>Emergency services</subject><subject>facility location</subject><subject>optimization modeling</subject><subject>Resource management</subject><subject>Sensitivity analysis</subject><subject>Servers</subject><subject>Spatiotemporal phenomena</subject><issn>2643-6868</issn><isbn>9798350319514</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2023</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1kNFKwzAUQKMgOOb-wIf4AZ03uU2aPM5t6mAqynweaXM7o2060qJsX6-gPp2HA-fhMHYlYCoE2OvVfJMtHpTBQkwlSJwKkEZbpU_YxBbWoAIUVon8lI2kzjHTRptzNun7dwBACVhIOWLPi9RF4o80fHXpgy-oD7vI6y7xZfwMP66lOLiGL1tKO4rVgb9Qv-9iTzxEPrwRv0nuGJrgIp-17tjFC3ZWu6anyR_H7PV2uZnfZ-unu9V8ts6C0MWQOdK-klB64WWtSutFJYVHJ71w3lCBIMEapWtZW1X7osy1MTmQr7yuEBWO2eVvNxDRdp9C69Jh-38BvwH2Z1LJ</recordid><startdate>20230913</startdate><enddate>20230913</enddate><creator>Custodio, Janiele</creator><creator>Abeledo, Hernan</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20230913</creationdate><title>Drone Network Design for Environmental Emergency Response in the Brazilian Amazon</title><author>Custodio, Janiele ; Abeledo, Hernan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i167t-ae6dc20bd1d2f5b9d1c21d3a2d1ad8e730209856f2f95fd7b468840edcd6c3353</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2023</creationdate><topic>amazon rainforest</topic><topic>Batteries</topic><topic>Costs</topic><topic>deforestation</topic><topic>drones</topic><topic>emergency response</topic><topic>Emergency services</topic><topic>facility location</topic><topic>optimization modeling</topic><topic>Resource management</topic><topic>Sensitivity analysis</topic><topic>Servers</topic><topic>Spatiotemporal phenomena</topic><toplevel>online_resources</toplevel><creatorcontrib>Custodio, Janiele</creatorcontrib><creatorcontrib>Abeledo, Hernan</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Custodio, Janiele</au><au>Abeledo, Hernan</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Drone Network Design for Environmental Emergency Response in the Brazilian Amazon</atitle><btitle>2023 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)</btitle><stitle>ICT-DM</stitle><date>2023-09-13</date><risdate>2023</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><eissn>2643-6868</eissn><eisbn>9798350319514</eisbn><abstract>We introduce a facility-location allocation model to design a drone-based environmental response network, where are used to verify complaints and to gather information to support emergency response missions. Assuming a centralized network operated out-of-sight, we propose a discrete facility location-allocation model with mobile servers that seeks to find the minimal cost configuration that meets response time targets. A case study is conducted for the municipality of. Ji-Parana, in the Brazilian Amazon, using spatiotemporal data from satellite imagery and mobile data. Sensitivity analysis is conducted to understand how the model performs under various demand scenarios and capacity restrictions.</abstract><pub>IEEE</pub><doi>10.1109/ICT-DM58371.2023.10286956</doi><tpages>6</tpages></addata></record> |
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identifier | EISSN: 2643-6868 |
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issn | 2643-6868 |
language | eng |
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source | IEEE Xplore All Conference Series |
subjects | amazon rainforest Batteries Costs deforestation drones emergency response Emergency services facility location optimization modeling Resource management Sensitivity analysis Servers Spatiotemporal phenomena |
title | Drone Network Design for Environmental Emergency Response in the Brazilian Amazon |
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