scholarly journals Unmanned Aerial Vehicles Traffic Management Solution Using Crowd-sensing and Blockchain

2021 ◽  
Author(s):  
Ruba Alkadi ◽  
Abdulhadi Shoufan
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Traffic Management ◽  
Service Providers ◽  
Cyber Attacks ◽  
Crowd Sensing ◽  
Aerial Vehicles ◽  
Smart Contract ◽  
Verification Tools ◽  
Definition Of ◽  
Fair Access

Unmanned aerial vehicles (UAVs) are gaining immense attention due to their potential to revolutionize various businesses and industries. However, the adoption of UAV-assisted applications will strongly rely on the provision of reliable systems that allow managing UAV operations at high levels of safety and security. Recently, the concept of UAV traffic management (UTM) has been introduced to support safe, efficient, and fair access to low-altitude airspace for commercial UAVs. A UTM system identifies multiple cooperating parties with different roles and levels of authority to provide real-time services to airspace users. However, current UTM systems are centralized and lack a clear definition of protocols that govern a secure interaction between authorities, service providers, and end-users. The lack of such protocols renders the UTM system unscalable and prone to various cyber attacks. Another limitation of the currently proposed UTM architecture is the absence of an efficient mechanism to enforce airspace rules and regulations. To address this issue, we propose a decentralized UTM protocol that controls access to airspace while ensuring high levels of integrity, availability, and confidentiality of airspace operations. To achieve this, we exploit key features of the blockchain and smart contract technologies. In addition, we employ a mobile crowdsensing (MCS) mechanism to seamlessly enforce airspace rules and regulations that govern the UAV operations. The solution is implemented on top of the Etheruem platform and verified using four different smart contract verification tools. We also provided a security and cost analysis of our solution. For reproducibility, we made our implementation publicly available on Github

scholarly journals Unmanned Aerial Vehicles Traffic Management Solution Using Crowd-sensing and Blockchain

2021 ◽  
Author(s):  
Ruba Alkadi ◽  
Abdulhadi Shoufan
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Traffic Management ◽  
Service Providers ◽  
Cyber Attacks ◽  
Crowd Sensing ◽  
Aerial Vehicles ◽  
Smart Contract ◽  
Verification Tools ◽  
Definition Of ◽  
Fair Access

Unmanned aerial vehicles (UAVs) are gaining immense attention due to their potential to revolutionize various businesses and industries. However, the adoption of UAV-assisted applications will strongly rely on the provision of reliable systems that allow managing UAV operations at high levels of safety and security. Recently, the concept of UAV traffic management (UTM) has been introduced to support safe, efficient, and fair access to low-altitude airspace for commercial UAVs. A UTM system identifies multiple cooperating parties with different roles and levels of authority to provide real-time services to airspace users. However, current UTM systems are centralized and lack a clear definition of protocols that govern a secure interaction between authorities, service providers, and end-users. The lack of such protocols renders the UTM system unscalable and prone to various cyber attacks. Another limitation of the currently proposed UTM architecture is the absence of an efficient mechanism to enforce airspace rules and regulations. To address this issue, we propose a decentralized UTM protocol that controls access to airspace while ensuring high levels of integrity, availability, and confidentiality of airspace operations. To achieve this, we exploit key features of the blockchain and smart contract technologies. In addition, we employ a mobile crowdsensing (MCS) mechanism to seamlessly enforce airspace rules and regulations that govern the UAV operations. The solution is implemented on top of the Etheruem platform and verified using four different smart contract verification tools. We also provided a security and cost analysis of our solution. For reproducibility, we made our implementation publicly available on Github

scholarly journals Internet of Unmanned Aerial Vehicles—A Multilayer Low-Altitude Airspace Model for Distributed UAV Traffic Management

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4779 ◽  
Author(s):  
Nader S. Labib ◽  
Grégoire Danoy ◽  
Jedrzej Musial ◽  
Matthias R. Brust ◽  
Pascal Bouvry
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Traffic Management ◽  
Complex Problem ◽  
Experimental Simulation ◽  
Aerial Vehicles ◽  
Safe Management ◽  
Wide Range ◽  
Abstract Level ◽  
Low Altitude ◽  
New Research

The rapid adoption of Internet of Things (IoT) has encouraged the integration of new connected devices such as Unmanned Aerial Vehicles (UAVs) to the ubiquitous network. UAVs promise a pragmatic solution to the limitations of existing terrestrial IoT infrastructure as well as bring new means of delivering IoT services through a wide range of applications. Owning to their potential, UAVs are expected to soon dominate the low-altitude airspace over populated cities. This introduces new research challenges such as the safe management of UAVs operation under high traffic demands. This paper proposes a novel way of structuring the uncontrolled, low-altitude airspace, with the aim of addressing the complex problem of UAV traffic management at an abstract level. The work, hence, introduces a model of the airspace as a weighted multilayer network of nodes and airways and presents a set of experimental simulation results using three UAV traffic management heuristics.

scholarly journals SAFETY ANALYSIS OF GOODS TRANSPORTATION BY UNMANNED AERIAL VEHICLES

2020 ◽  
Vol 17 (5) ◽  
pp. 286-297 ◽  
Author(s):  
S. V. Shvetsova ◽  
A. V. Shvetsov
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Traffic Safety ◽  
Traffic Management ◽  
Aviation Safety ◽  
Unmanned Aircraft ◽  
Unmanned Aircraft System ◽  
Aerial Vehicles ◽  
Cargo Delivery ◽  
Aircraft System ◽  
Air Vehicles

Modern transport companies around the world actively study the possibility of intra-urban transportation of goods using unmanned aerial vehicles (UAV).The objective of the study is to reveal the existing problems preventing full-scale introducing of UAVs into the operations of logistics centers that accomplish cargo delivery in modern megacities as well as to propose a possible option for their solution.The study conducted applying the methods of comparative analysis and generalization showed that the main obstacle to the use of unmanned aerial vehicles for cargo delivery is currently unsettled problem of safety when UAVs operate in the urban environment.The study has analyzed the worldwide UAV traffic safety management programs. Among the programs reviewed were U-Space (the program is implemented by the European Commission and other participants); NASA Unmanned Aircraft System Traffic Management (the program is implemented by NASA and the US Federal Aviation Administration); European Aviation Safety Agency drone categories (the program is implemented by European Aviation Safety Agency (EASA)); Urban Traffic Management of Unmanned Aircraft System (the program is implemented by Air Traffic Management Research Institute (ATMRI) and other participants). The analysis showed that these programs paid a lot of attention to preventing the UAVs collisions with other air vehicles. But almost no attention was paid to the fact that the flight routes of unmanned aerial vehicles would intersect with the ground highways.The analysis carried out in the article allows us to conclude that one of the solutions to the problem of UAV implementation in the field of cargo delivery is the development of a new concept of UAV traffic safety in the urban conditions, which will take into account the threat of collision of cargo UAV not only with air vehicles but also with ground ones. The concept should determine the requirements for thetechnology for safe traffic of drones over the main surface transport routes including highways,  highspeed railways, etc. The development of such a concept will be a turning point for starting the fullscale use of UAVs as a new and effective means of cargo delivery in the city, which, in its turn, willcreate the next-generation transport infrastructure in the cities.

scholarly journals Key wireless communication technologies to support traffic management systems of unmanned aerial vehicles for civil application (review of foreign literature)

2021 ◽  
Vol 24 (2) ◽  
pp. 70-92
Author(s):  
E. A. Vinogradov
Keyword(s):  
Wireless Communication ◽  
Unmanned Aerial Vehicles ◽  
Communication Networks ◽  
Traffic Management ◽  
Communication Technologies ◽  
Unmanned Aircraft ◽  
Civil Aviation ◽  
Aerial Vehicles ◽  
Wide Range ◽  
Aircraft System

Not less than one hundred thousand Unmanned Aerial Vehicles (UAVs) are expected to perform flights simultaneously in Russia by 2035. The UAV fleet capacity triggers the development of the systems for informational support, operating control and management of UAV flights (Unmanned Aircraft System Traffic Management (UTM) systems) similar to that one already operating in manned aviation. The challenges arising in the sphere of civil aviation cannot be solved without wireless communication. The goals of this article are as follows: 1) familiarization of communication experts with the latest scientific developments of unmanned aerial technologies 2) description of the telecommunication-related problems of extensive systems of UAV control encountered by development engineers. In this article a schematic architecture and main functions of UTM systems are described as well as the examples of their implementation. Special emphasis is put on enhancing flight safety by means of a rational choice of communication technologies to manage conflicts (Conflict Management) known as "collision avoidance". The article analyzes the application of a wide range of wireless technologies ranging from Wi-Fi and Automatic Dependent Surveillance Broadcast (ADS-B) to 5G cellular networks as well as cell-free networks contributing to the development of 6G communication networks. As a result of the analysis, a list of promising research trends at the intersection of the fields of wireless communication and UAVs for civil application is made.

Cyber Attacks on Healthcare Devices Using Unmanned Aerial Vehicles

2019 ◽  
Vol 44 (1) ◽  
Author(s):  
Sibi Chakkaravarthy Sethuraman ◽  
Vaidehi Vijayakumar ◽  
Steven Walczak
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Cyber Attacks ◽  
Aerial Vehicles

scholarly journals Distributed Detect-and-Avoid for Multiple Unmanned Aerial Vehicles in National Air Space

2019 ◽  
Vol 141 (7) ◽  
Author(s):  
Mohammad Sarim ◽  
Mohammadreza Radmanesh ◽  
Matthew Dechering ◽  
Manish Kumar ◽  
Ravikumar Pragada ◽  
...  
Keyword(s):  
Path Planning ◽  
Unmanned Aerial Vehicles ◽  
Real Time ◽  
Precision Agriculture ◽  
Traffic Management ◽  
Mixed Integer ◽  
Dynamic Constraints ◽  
Aerial Vehicles ◽  
Package Delivery ◽  
Feasible Solutions

Small unmanned aerial vehicles (UAVs) have the potential to revolutionize various applications in civilian domain such as disaster management, search and rescue operations, law enforcement, precision agriculture, and package delivery. As the number of such UAVs rise, a robust and reliable traffic management is needed for their integration in national airspace system (NAS) to enable real-time, reliable, and safe operation. Management of UAVs traffic in NAS becomes quite challenging due to issues such as real-time path planning of large number of UAVs, communication delays, operational uncertainties, failures, and noncooperating agents. In this work, we present a novel UAV traffic management (UTM) architecture that enables the integration of such UAVs in NAS. A combined A*–mixed integer linear programming (MILP)-based solution is presented for initial path planning of multiple UAVs with individual mission requirements and dynamic constraints. We also present a distributed detect-and-avoid (DAA) algorithm based on the concept of resource allocation using a market-based approach. The results demonstrate the scalability, optimality, and ability of the proposed approach to provide feasible solutions that are versatile in dynamic environments.

Information-Measuring Technologies for UAV's Application

2019 ◽  
pp. 274-286
Author(s):  
Vitalii Larin ◽  
Nina Chichikalo ◽  
Georgii Rozorinov ◽  
Ekaterina Larina
Keyword(s):  
Control System ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Proximity Sensor ◽  
Information Measuring ◽  
Aerial Vehicles ◽  
Aerial Vehicle ◽  
Current Operation ◽  
Definition Of ◽  
Measuring Unit

This chapter describes two practical examples of sensors application on an unmanned aerial vehicle. The first device is a proximity sensor allowing users to measure the rotating angle of UAV's elevator. The second example discovers a measuring unit established on the UAV and processed measuring information for landing the UAV. To perform exactness control of unmanned aerial vehicles actuating mechanisms, the control system must be supplied by devices providing precision definition of values of current operation factors of those mechanisms.

scholarly journals АНАЛІЗ СУЧАСНОГО СТАНУ РОЗВИТКУ БЕЗПІЛОТНИХ ЛІТАЛЬНИХ МІКРОАПАРАТІВ МУЛЬТИКОПТЕРНОГО ТИПУ

2021 ◽  
pp. 125-134
Author(s):  
О. Г. Гребеніков
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Statistical Data ◽  
Weather Conditions ◽  
Future Research ◽  
Prototype Model ◽  
Aerial Vehicles ◽  
Starting Point ◽  
Wide Range ◽  
Range Of Functions ◽  
Definition Of

The development of unmanned aerial vehicles is of great interest to both the largest aircraft companies and design enthusiasts, and among the total volume of developments, the volume of multicopter unmanned aerial vehicles occupies one of the leading positions. In this regard, the analysis of existing developments and the definition of future research in this direction is relevant. Multi-helicopter drones have a wide range of functions in both military and civilian use.The paper collects and analyzes statistical data of micro-unmanned aerial vehicles of the multicopter type to determine the achievements in the field of design of micro-unmanned aerial vehicles (UAVs). The current classification of UAVs is considered; as a result of the analysis of statistical data its expansion is offered. The take-off and mass characteristics of the micro UAV are described. The tables showing the existing UAVs are given. In addition, the flight characteristics, aerodynamic schemes and type of engine that are most rationally suited for micro-unmanned aerial vehicles according to their purpose and class are determined.Based on the obtained data, a prototype model of a micro-UAV with improved characteristics was built. The model successfully completed all tasks. This indicates that the new UAV "Fear-1" is a successful project and it has the ability to remotely control by phone or any other equipment designed for this purpose. In addition, the designed device can additionally hang in the specified coordinates."Fear-1" confidently performs tasks in automatic mode, as well as independently decides to return to the starting point of takeoff, if: there is a loss of communication, the battery level has reached a certain level, the UAV has completed its task or used more miles -amperes than specified by the output parameters. The drone has the ability to fly in "Follow me" mode on the selected GPS transmitter. The quadcopter was tested in difficult weather conditions, when the wind force reached 8 points (about 22 m / s). Noise immunity tests were also performed in the industrial frequency range (from 2.4 GHz to 5.8 GHz).

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