@inproceedings{1f794db0ef634c03af16c877a45f7166,
title = "A modelling framework of drone deployment for monitoring air pollution from ships",
abstract = "Sulphur oxide (SOx) emissions impose a serious health threat to the residents and a substantial cost to the local environment. In many countries and regions, ocean-going vessels are mandated to use low-sulphur fuel when docking at emission control areas. Recently, drones have been identified as an efficient way to detect non-compliance of ships, as they offer the advantage of covering a wide range of surveillance areas. To date, the managerial perspective of the deployment of a fleet of drones to inspect air pollution from ships has not been addressed yet. In this paper, we propose a modelling framework of drone deployment. It contains three components: drone scheduling at the operational level, drone assignment at the tactical level and drone base station location at the strategic level.",
author = "Jingxu Chen and Shuaian Wang and Xiaobo Qu and Wen Yi",
year = "2019",
month = jul,
doi = "10.1007/978-3-319-92231-7_29",
language = "English",
isbn = "9783319922300",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "281--288",
editor = "Howlett, {Robert J.} and Jain, {Lakhmi C.} and Jain, {Lakhmi C.} and {De Pietro}, Giuseppe and Luigi Gallo and Jain, {Lakhmi C.} and Ljubo Vlacic and Howlett, {Robert J.}",
booktitle = "Intelligent Interactive Multimedia Systems and Services - Proceedings of 2018 Conference",
address = "Germany",
note = "11th International KES Conference on Intelligent Interactive Multimedia: Systems and Services, KES-IIMSS 2018 ; Conference date: 20-06-2018 Through 22-06-2018",
}