TY - GEN
T1 - Mobile Pollution Data Sensing Using UAVs
AU - Alvear, Oscar
AU - Calafate, Carlos T.
AU - Hernández, Enrique
AU - Cano, Juan Carlos
AU - Manzoni, Pietro
N1 - Publisher Copyright:
© 2015 Copyright held by the owner/author(s). Publication rights licensed to ACM.
PY - 2015/12/11
Y1 - 2015/12/11
N2 - Nowadays, the impact of global warming is causing soci-eties to become more aware and responsive to environmen-tal problems. As a result, pollution sensing is gaining more relevance. In order to have a strict control over air quality, the use of mobile sensors is becoming a promising alterna-tive to traditional air quality stations. Mobile sensors allow to easily perform measurements in many di-erent places, thereby o-ering substantial improvements in terms of the spatial granularity of the data gathered. Pollution moni-toring near large industrial areas or in rural areas where transportation facilities are poor or inexistent can compli-cate the mobile sensing approach. To address this problem, in this paper we propose endowing Unmanned Aerial Vehi-cles (UAVs) with pollution sensors, allowing them to become autonomous air monitoring stations. The proposed solution has the potential to quickly cover a target region at a low cost, and providing great exibility.
AB - Nowadays, the impact of global warming is causing soci-eties to become more aware and responsive to environmen-tal problems. As a result, pollution sensing is gaining more relevance. In order to have a strict control over air quality, the use of mobile sensors is becoming a promising alterna-tive to traditional air quality stations. Mobile sensors allow to easily perform measurements in many di-erent places, thereby o-ering substantial improvements in terms of the spatial granularity of the data gathered. Pollution moni-toring near large industrial areas or in rural areas where transportation facilities are poor or inexistent can compli-cate the mobile sensing approach. To address this problem, in this paper we propose endowing Unmanned Aerial Vehi-cles (UAVs) with pollution sensors, allowing them to become autonomous air monitoring stations. The proposed solution has the potential to quickly cover a target region at a low cost, and providing great exibility.
KW - Mobile sensing
KW - UAVs
KW - environmental monitoring
KW - multicopters
UR - https://www.scopus.com/pages/publications/84968866640
U2 - 10.1145/2837126.2843842
DO - 10.1145/2837126.2843842
M3 - Contribución a la conferencia
AN - SCOPUS:84968866640
T3 - 13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings
SP - 393
EP - 397
BT - 13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings
A2 - Khalil, Ismail
A2 - Steinbauer, Matthias
A2 - Chen, Liming
A2 - Anderst-Kotsis, Gabriele
PB - Association for Computing Machinery, Inc
T2 - 13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015
Y2 - 11 December 2015 through 13 December 2015
ER -