TY - GEN
T1 - Multi-UAV Route Planning for Data Collection from Heterogeneous IoT Devices
AU - Wang, Shukang
AU - Long, Yuying
AU - Zhou, Yaoming
AU - Xu, Gangyan
N1 - Funding Information:
This work is supported by the National Natural Science Foundation of China (72174042), the Shenzhen Science, Technology and Innovation Commission (GXWD20201230155427003-20200729171207002), and the Start-Up fund of HK PolyU.
Publisher Copyright:
© 2022 IEEE.
PY - 2022/12
Y1 - 2022/12
N2 - IoT devices are widely adopted in various scenarios to realize real-time data collection. However, it is challenging to efficiently collect the sensing data when IoT devices are physically distributed in remote areas. This paper proposes to use Unmanned Aerial Vehicles (UAVs) to realize efficient data collection from these IoT devices. Specifically, the heterogeneity of IoT devices in terms of data generation rates is considered, which is modelled as different time windows and service time requirements into the UAV routing problem. Besides, a multi-UAV multi-trip route planning model is proposed and a Tabu-Search based solution algorithm is developed. Finally, an experimental case study is conducted that verifies the effectiveness and performance of the proposed method.
AB - IoT devices are widely adopted in various scenarios to realize real-time data collection. However, it is challenging to efficiently collect the sensing data when IoT devices are physically distributed in remote areas. This paper proposes to use Unmanned Aerial Vehicles (UAVs) to realize efficient data collection from these IoT devices. Specifically, the heterogeneity of IoT devices in terms of data generation rates is considered, which is modelled as different time windows and service time requirements into the UAV routing problem. Besides, a multi-UAV multi-trip route planning model is proposed and a Tabu-Search based solution algorithm is developed. Finally, an experimental case study is conducted that verifies the effectiveness and performance of the proposed method.
KW - Data Collection
KW - Internet of Things (IoT)
KW - Route Planning
KW - TabuSearch
KW - Unmanned Aerial Vehicle (UAV)
UR - http://www.scopus.com/inward/record.url?scp=85146329769&partnerID=8YFLogxK
U2 - 10.1109/IEEM55944.2022.9989729
DO - 10.1109/IEEM55944.2022.9989729
M3 - Conference article published in proceeding or book
AN - SCOPUS:85146329769
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 1556
EP - 1560
BT - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022
PB - IEEE Computer Society
T2 - 2022 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022
Y2 - 7 December 2022 through 10 December 2022
ER -