A Rescheduling Method of Drone Flights under Insufficient Remaining Battery Duration

Kim, Seon Jin; Ahmadian, Navid; Lim, Gino J.; Torabbeigi, Maryam

doi:10.1109/icuas.2018.8453379

Cited by 8 publications

(3 citation statements)

References 5 publications

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“…The literature in this domain deals with task assignment, scheduling and path planning of the multiple agents, considering physical resource constraints such as the total number of agents, their communication ranges [5], [6] and their battery levels. Rescheduling methods have been introduced to ensure the safe return of a drones [7] and the trade-off between mission performance and battery consumption has been thoroughly investigated [8]. Solutions consider variants of the travelling salesman (TSP) and vehicle routing problems (VRP) [9], [10], [11], while heuristic [12] and meta-heuristic algorithms [13] have been proposed to solve practical instances of the problems with short computation times.…”

Section: Background and Related Workmentioning

confidence: 99%

A Unified Framework for Reliable Multi-Drone Tasking in Emergency Response Missions

Terzi

Kolios

Panayiotou

et al. 2019

2019 International Conference on Unmanned Aircraft Systems (ICUAS)

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In this paper a unified framework is presented for coordinated multi-drone tasking in emergency response missions. As elaborated in this work, response missions can be broken into a number of distinct tasks that can be allocated among the available drone agents to expedite the response operations. The proposed framework enables the development and execution of algorithms that jointly schedule and route drone agents across the field to complete their tasks and successfully address the mission goals considering the agent limitations. The key design challenges of implementing the proposed framework are discussed. Finally, initial simulation and experimental results are presented providing evidence of the real life applicability and reliability of the proposed framework.

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Section: Background and Related Workmentioning

confidence: 99%

A Unified Framework for Reliable Multi-Drone Tasking in Emergency Response Missions

Terzi

Kolios

Panayiotou

et al. 2019

2019 International Conference on Unmanned Aircraft Systems (ICUAS)

View full text Add to dashboard Cite

show abstract

“…Constraint (5) is utilized to make sure that the drone returns to the initial depot. Constraints (6) and 7are to check whether a drone is utilized from an initial depot. Constraints (8) and (9) define the possible number of flights over the first flight segment (from the initial launching depot to the first visiting waypoint: outbound) and the last flight segment (from the last visiting waypoint to the initial launching depot: inbound), in which the number of possible flights (FD rj or FD ir ) is mainly determined by the flight environment such as mountain, building, and non-flying zone.…”

Section: Mathematical Formulation Modelmentioning

confidence: 99%

“…Much research has been conducted in various fields such as healthcare delivery, border surveillance, damage assessment, and remote sensing [1][2][3][4]. In the aforementioned applications, the flight capability of drones to reach a remote area is mainly limited by the performance of the battery [5,6]. The limited flight duration per a fully charged battery on drones is revealed to be one of the major obstacles for the current drone technology to be practically useful in the above mentioned applications.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Battery Charging Approach for Drone-Aided Border Surveillance Scheduling

Kim

Lim

2018

Drones

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This paper proposes a new method to extend the flight capability of drones in real time. The new method combines two wireless charging methods (stationary wireless charging systems and dynamic wireless charging systems) into a hybrid mode. The drones must frequently return to a ground control center to replace or recharge its battery due to the limited performance of batteries mounted in the drones. To reduce the need of returning to the center, stationary wireless charging systems and dynamic wireless charging systems have been proposed. However, a few drawbacks of the two systems include the needs of landing/stopping on the stationary charging systems and the uncertainty of charging efficiency over the dynamic charging systems. Hence, to resolve the current limitations, we propose the hybrid approach for extending drone flight duration in real time. A mathematical formulation model is proposed to decide an optimal installation location and operating time of the hybrid mode. A case study is conducted to illustrate feasibility and effectiveness of the proposed method. Results from the case study show that we can lengthen the flight duration per charge from the initial launching point (30 min → 32–59 min), and if the value of charging efficiency of the dynamic charging systems is maintained above a certain level, the time spent on the stationary charging systems is significantly reduced (58 min → 22 min).

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Drone Delivery Scheduling Optimization Considering Payload-induced Battery Consumption Rates

Torabbeigi

Lim

Kim

2019

J Intell Robot Syst

118

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A Rescheduling Method of Drone Flights under Insufficient Remaining Battery Duration

Cited by 8 publications

References 5 publications

A Unified Framework for Reliable Multi-Drone Tasking in Emergency Response Missions

A Unified Framework for Reliable Multi-Drone Tasking in Emergency Response Missions

A Hybrid Battery Charging Approach for Drone-Aided Border Surveillance Scheduling

Drone Delivery Scheduling Optimization Considering Payload-induced Battery Consumption Rates

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