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Ȩ Ȩ > ¿¬±¸¹®Çå > Çмú´ëȸ ÇÁ·Î½Ãµù > Çѱ¹Á¤º¸°úÇÐȸ Çмú´ëȸ > KCC 2021

KCC 2021

Current Result Document : 213 / 213

ÇѱÛÁ¦¸ñ(Korean Title) On-Demand Unmanned Aerial Vehicle Deployment and Profit Maximization for Internet of Maritime Things Networks
¿µ¹®Á¦¸ñ(English Title) On-Demand Unmanned Aerial Vehicle Deployment and Profit Maximization for Internet of Maritime Things Networks
ÀúÀÚ(Author) Sheikh Salman Hassan   Umer Majeed   Choong Seon Hong  
¿ø¹®¼ö·Ïó(Citation) VOL 48 NO. 01 PP. 0156 ~ 0158 (2021. 06)
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(Korean Abstract)
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(English Abstract)
Smart gadgets are increasing with the development of sixth-generation (6G) mobile communication systems. Similarly, the number of internet of maritime things (IoMT) devices are also increasing due to the rapid development in maritime activities for trade, research, defense, and recreation. To fulfill the demand for IoMT devices at the beach and seaside during occasional events, we consider the deployment of unmanned aerial vehicles (UAVs). The UAVs are efficient for on-demand deployment and service provision for IoMT devices. In this work, we consider network profit maximization on UAVs deployment and their efficient service allocation to the IoMT devices. A combinatorial optimization problem (integer linear programming) is formulated, which is NPhard. To deal with a complex problem, we provide Bender Decomposition (BD) based algorithm. The simulation results provide the effectiveness of our proposed algorithm.
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