Cooperative Aerial–Ground Vehicle Route Planning With Fuel Constraints for Coverage Applications

Maini, Parikshit; Sundar, Kaarthik; Singh, Mandeep; Rathinam, Sivakumar; Sujit, P. B.

doi:10.1109/taes.2019.2917578

Cited by 58 publications

(24 citation statements)

References 32 publications

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“…Manini et al [13] offer to utilize a ground-based refueling vehicle to increase the operational possibilities of a UAV. A two-stage strategy for coupled route planning for UAV and refueling vehicle is developed.…”

Section: State Of the Artmentioning

confidence: 99%

UAV Fleet Based Accident Monitoring Systems with Automatic Battery Replacement Systems: Algorithms for Justifying Composition and Use Planning

Kliushnikov¹,

Fesenko²,

Kharchenko³

et al. 2021

IJSSE

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The existing approaches suggest that justifying robotic monitoring systems composition and use planning are carried out through a set of predefined missions. The paper proposes the algorithm of justifying composition and utilization of monitoring systems for critical infrastructure objects based on the theory of transport systems considering possible types of the monitoring missions. The considered monitoring system comprises a fleet of unmanned aerial vehicles (UAV fleet) and automatic battery replacement systems. The algorithm provides a procedure for defining the monitoring system composition and using the UAV fleet and the automatic battery replacement systems taking into account the requirements for the number of ground objects from which data needs collecting, range, transmission frequency, volume of the transmitted data, and operation time. Methods of research are the following: graph theory, theory of transportation system (methods for solving the traveling salesman problem and multiple traveling salesman problem); mathematical optimization models (evolutionary algorithms), job shop scheduling. The algorithm allows finding an optimal or near optimal compromise solving for composition and utilization of monitoring system for different cases; reducing the time of justifying the monitoring system composition and takes into account the various requirements such as transmission frequency, volume of the transmitted data, and continuous operation time; planning using UAV and automated battery replacement aerial stations (ABRAS) as the parts of transportation system.

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Section: State Of the Artmentioning

confidence: 99%

UAV Fleet Based Accident Monitoring Systems with Automatic Battery Replacement Systems: Algorithms for Justifying Composition and Use Planning

Kliushnikov¹,

Fesenko²,

Kharchenko³

et al. 2021

IJSSE

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show abstract

“…Equation ( 10) indicates the limit of the number of trucks used. Equation (11) indicates that the truck departs from the distribution center and returns to the distribution center after completing the delivery task. Equation (12) implies that the truck drives into a node and then drives out from this node.…”

Section: Mathematical Modelmentioning

confidence: 99%

“…Kim [10] used multiple shared static charging stations at different geographical locations to solve the UAV energy constraint problem and established a path planning model based on MILP (mixed integer linear program) to find the optimal flight path for UAVs through genetic algorithms. Maini et al [11] transformed collaborative air-ground coverage monitoring into a two-stage optimization problem and built a complex mixed integer linear programming model to optimize the path of UAV and sequence of refueling points. Hu et al [12] established an airground collaborative patrol path planning model to optimize the UAVs' patrol path and the unmanned vehicle energy resupply path.…”

Section: Introductionmentioning

confidence: 99%

Path Optimization of Joint Delivery Mode of Trucks and UAVs

Cao

Zhang

Ren

2021

Mathematical Problems in Engineering

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With the development of e-commerce and information technology, new modes of distribution are emerging. A new type of distribution tool, UAV (unmanned aerial vehicle), has entered into the public’s field of vision. In the background of growing e-commerce, this paper proposes a new delivery mode of joint delivery of trucks and UAVs which particularly has been popular in recent years, with the advantages of prompt delivery, low cost, and independence from terrain restrictions, while traditional transportation tools such as trucks have more advantages in terms of flight distance and load capacity. Therefore, the joint delivery mode of trucks and UAVs proposed in this paper can well realize the complementary advantages of trucks and UAVs in the distribution process and consequently optimize the distribution process. Moreover, the growing e-commerce promotes customers’ higher needs for delivery efficiency and the integrity of the delivered goods which urges companies to pay more attention to customers’ satisfaction. This paper analyzes the joint delivery mode of trucks and UAVs, aims to minimize total delivery cost and maximize customer satisfaction, and builds a multiobjective optimization model for joint delivery. Furthermore, an improved ant colony algorithm is proposed in order to solve the mode in this paper. In order to effectively avoid prematurity of the ant colony algorithm, the limited pheromone concentration and the classification idea of the artificial bee colony algorithm are introduced to improve the ant colony algorithm. Finally, some experiments are simulated by MATLAB software, and the comparison shows that the joint delivery of trucks and UAVs has more advantages, and the improved ant colony algorithm is more efficient than the traditional ant colony.

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“…However, heterogeneous networks need to be interconnected, so many problems are raised in terms of routing [10], protocol [11] and task assignment [12]. In the space-ground integrated network, various networking technologies have their own advantages and disadvantages in coverage, transmission delay, throughput, reliability and other aspects, and different network segments can cooperate to support seamless service access [13]. The space-ground integrated networks can be a layered heterogeneous architecture in nature.…”

Section: Introductionmentioning

confidence: 99%

The Performance Analysis of Virtual Queues for Space-Ground Integrated Networks

Sun

Shen

et al. 2020

IEEE Access

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In the space-ground integrated networks, many tasks come from different access networks, such as cellular network, Wireless Fidelity (WIFI), Satellite network, Unmanned Aerial Vehicle (UAV) and so on. And these tasks have different priorities in general. Therefore, how to couple these tasks in the core network and design a low computational complexity and high-efficiency task processing strategy is a big challenge. In this paper, the concept of virtual queues is introduced to improve the performance of the space-ground integrated networks. The task queue can be split into several virtual queues according to their priorities and the type of access networks. To evaluate the performance of virtual queues, the system performance index is defined. Finally, the system performance of the space-ground integrated networks is analyzed in detail. The result can be applied into the design of the space-ground integrated networks. INDEX TERMS performance analysis, virtual queue, space-ground integrated networks.

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Cooperative Aerial–Ground Vehicle Route Planning With Fuel Constraints for Coverage Applications

Cited by 58 publications

References 32 publications

UAV Fleet Based Accident Monitoring Systems with Automatic Battery Replacement Systems: Algorithms for Justifying Composition and Use Planning

UAV Fleet Based Accident Monitoring Systems with Automatic Battery Replacement Systems: Algorithms for Justifying Composition and Use Planning

Path Optimization of Joint Delivery Mode of Trucks and UAVs

The Performance Analysis of Virtual Queues for Space-Ground Integrated Networks

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