The Problem of Locating and Routing Unmanned Aerial Vehicles

In this chapter, locating and routing of a UAV fleet is discussed. Since the research in the location and routing of UAVs is very limited, the related problems are reviewed. A basic problem and its extended version found in the literature are redefined along with their MILP formulation. Both of the problems are characterized by a prize collecting objective function and a homogeneous fleet of fixed number of UAVs based on naval platforms. The aim is described as maximization of the collected importance value associated to interest points. A solution method that is based on ACO is discussed. The usage of this robust method for both the basic and the extended versions of the problem is explained. The improvement room in the present solution method and future research directions are also discussed.

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The Problem of Locating and Routing Unmanned Aerial Vehicles

Research Anthology on Reliability and Safety in Aviation Systems, Spacecraft, and Air Transport ◽

10.4018/978-1-7998-5357-2.ch043 ◽

2021 ◽

pp. 1067-1091

Author(s):

Ertan Yakıcı ◽

Mumtaz Karatas ◽

Oktay Yılmaz

Keyword(s):

Unmanned Aerial Vehicles ◽

Solution Method ◽

Fixed Number ◽

Future Research ◽

Extended Version ◽

Interest Points ◽

Importance Value ◽

Present Solution ◽

Prize Collecting ◽

Future Research Directions

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Blockchain Towards Secure UAV-Based Systems

Advances in Information Security, Privacy, and Ethics - Enabling Blockchain Technology for Secure Networking and Communications ◽

10.4018/978-1-7998-5839-3.ch007 ◽

2021 ◽

pp. 149-174

Author(s):

lamia Chaari Fourati ◽

Mohamed Fourati ◽

Bilel Najeh ◽

Aicha Idriss

Keyword(s):

Unmanned Aerial Vehicles ◽

Use Cases ◽

Future Research ◽

Research Directions ◽

Smart Systems ◽

Aerial Vehicles ◽

Future Research Directions ◽

New Challenges

During this last decade, the blockchain (BC) paradigm has been required in several use cases and scenarios in particular for security, privacy, and trust provisioning. Accordingly, several studies proposed the use of BC technology to secure and to assure the trustworthiness of unmanned aerial vehicles (UAVs). In this context, this chapter highlights several applications and scenarios for the deployment of UAVs within diverse smart systems. In addition, it illustrates the advantages of the integration of the BC within UAVs-based smart systems. This integration reveals new challenges and future research directions that are discussed in this chapter.

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An Unmanned Aerial Vehicles Company: A Stochastic Model of Resources Overbooking

Transport and Telecommunication Journal ◽

10.1515/ttj-2017-0029 ◽

2017 ◽

Vol 18 (4) ◽

pp. 316-323

Author(s):

Mihail Smurov ◽

Nikolajs Sulima

Keyword(s):

Unmanned Aerial Vehicles ◽

Solution Method ◽

Rapid Development ◽

Optimal Level ◽

Fixed Number ◽

Average Income ◽

Discrete Time Markov Chain ◽

Aerial Vehicles ◽

Computer Environment ◽

Maintenance Personnel

AbstractIn connection with the rapid development of commerce of unmanned aerial vehicles (UAV), the optimality of their use with UAV companies (UAVCo) is becoming increasingly important. The basis of such companies are mobile units (mobile units (MU)), which include UAV, means of their delivery to the place of rendering services and maintenance personnel. A problem of determining the optimal level of orders for the use of MU with UAVCo has been formulated and solved. The task is formulated as an overbooking task. The process under investigation is described as a discrete-time Markov chain corresponding to 24 hours. Based on a fixed number of MU and a fixed overbooking level, distributions for the number of orders on hand, the number of unfulfilled customs, and the average income with an MU usage fee and penalties for unfulfilled orders factored in have been calculated. The solution method has been tested on a particular model. For calculation used language and computer environment MathCAD.

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Applications and Prospects of Agricultural Unmanned Aerial Vehicle Obstacle Avoidance Technology in China

Sensors ◽

10.3390/s19030642 ◽

2019 ◽

Vol 19 (3) ◽

pp. 642 ◽

Cited By ~ 10

Author(s):

Linlin Wang ◽

Yubin Lan ◽

Yali Zhang ◽

Huihui Zhang ◽

Muhammad Naveed Tahir ◽

...

Keyword(s):

Unmanned Aerial Vehicles ◽

Obstacle Avoidance ◽

Development Stage ◽

Future Research ◽

Research Directions ◽

Agricultural Modernization ◽

Aerial Vehicle ◽

Future Research Directions ◽

Agricultural Areas ◽

Aviation Operations

With the steady progress of China’s agricultural modernization, the demand for agricultural machinery for production is widely growing. Agricultural unmanned aerial vehicles (UAVs) are becoming a new force in the field of precision agricultural aviation in China. In those agricultural areas where ground-based machinery have difficulties in executing farming operations, agricultural UAVs have shown obvious advantages. With the development of precision agricultural aviation technology, one of the inevitable trends is to realize autonomous identification of obstacles and real-time obstacle avoidance (OA) for agricultural UAVs. However, the complex farmland environment and changing obstacles both increase the complexity of OA research. The objective of this paper is to introduce the development of agricultural UAV OA technology in China. It classifies the farmland obstacles in two ways and puts forward the OA zones and related avoidance tactics, which helps to improve the safety of aviation operations. This paper presents a comparative analysis of domestic applications of agricultural UAV OA technology, features, hotspot and future research directions. The agricultural UAV OA technology of China is still at an early development stage and many barriers still need to be overcome.

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