scholarly journals Distributed Cellular Framework for Secure Drone Delivery Services

2021 ◽  
Vol 9 (9) ◽  
pp. 1-6
Author(s):  
Maansa Krovvidi ◽  
Ch Mvn Sai Teja Prashanth

This paper describes in-depth the architecture of a Distributed Cellular framework for Secure Drone Delivery Services with an additional security layer. Delivery Drones are Unmanned aerial vehicles (UAV) that are responsible for the transportation of goods from one place to another place. In the modern world, with several e-commerce platforms, everything is traded, promoted, advertised online. This causes the need to deliver the packages rapidly and within a stipulated period of time. Unmanned aerial vehicles or drones come into the picture to retort the above-mentioned issue. Security nowadays has become a major concern where hackers are diverting the network traffic, hijacking, and crashing the drones. In order to prevent these attacks from taking place, this paper proposes a strong security framework to minimize these attacks from taking place. The proposed architecture has an additional layer of security which covers the two-factor and multi-factor authentication at the delivery spot. There exists an integration of different sensors like Obstacle detection, SOS detection, Facial Recognition, etc. Beyond the security framework, a distributed cellular network is applied to the delivery services to scatter the drones cell-wise and largen the scope to all remote areas.

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1369
Author(s):  
Hyojun Lee ◽  
Jiyoung Yoon ◽  
Min-Seong Jang ◽  
Kyung-Joon Park

To perform advanced operations with unmanned aerial vehicles (UAVs), it is crucial that components other than the existing ones such as flight controller, network devices, and ground control station (GCS) are also used. The inevitable addition of hardware and software to accomplish UAV operations may lead to security vulnerabilities through various vectors. Hence, we propose a security framework in this study to improve the security of an unmanned aerial system (UAS). The proposed framework operates in the robot operating system (ROS) and is designed to focus on several perspectives, such as overhead arising from additional security elements and security issues essential for flight missions. The UAS is operated in a nonnative and native ROS environment. The performance of the proposed framework in both environments is verified through experiments.


Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1627
Author(s):  
Giovanni Battista Gaggero ◽  
Mario Marchese ◽  
Aya Moheddine ◽  
Fabio Patrone

The way of generating and distributing energy throughout the electrical grid to all users is evolving. The concept of Smart Grid (SG) took place to enhance the management of the electrical grid infrastructure and its functionalities from the traditional system to an improved one. To measure the energy consumption of the users is one of these functionalities that, in some countries, has already evolved from a periodical manual consumption reading to a more frequent and automatic one, leading to the concept of Smart Metering (SM). Technology improvement could be applied to the SM systems to allow, on one hand, a more efficient way to collect the energy consumption data of each user, and, on the other hand, a better distribution of the available energy through the infrastructure. Widespread communication solutions based on existing telecommunication infrastructures instead of using ad-hoc ones can be exploited for this purpose. In this paper, we recall the basic elements and the evolution of the SM network architecture focusing on how it could further improve in the near future. We report the main technologies and protocols which can be exploited for the data exchange throughout the infrastructure and the pros and cons of each solution. Finally, we propose an innovative solution as a possible evolution of the SM system. This solution is based on a set of Internet of Things (IoT) communication technologies called Low Power Wide Area Network (LPWAN) which could be employed to improve the performance of the currently used technologies and provide additional functionalities. We also propose the employment of Unmanned Aerial Vehicles (UAVs) to periodically collect energy consumption data, with evident advantages especially if employed in rural and remote areas. We show some preliminary performance results which allow assessing the feasibility of the proposed approach.


Author(s):  
Isaac Levi Henderson ◽  
Savern L. Reweti ◽  
Robyn Kamira

This chapter examines the role of unmanned aerial vehicles (UAVs) in the delivery of medical and emergency supplies to remote areas. It outlines a number of potential considerations for operators wishing to use UAVs to deliver medical and emergency supplies to remote areas. These considerations address a number of practicalities in terms of the organisation that is wishing to conduct such operations, the operations themselves, and the technology that is used for such operations. These considerations primarily stem from the nature of the international regulatory framework for unmanned aircraft operations and the peculiarities of using a UAV to deliver medical and emergency supplies. The chapter will outline some of the practicalities that have been worked through or are being worked through during a project to deliver medical and emergency supplies in Northland, New Zealand. This will provide readers with examples of some of the real-world considerations that operators face as well as outline the positive community impact that such operations can provide.


Author(s):  
Alejandra Otero Arenzana ◽  
Jose Javier Escribano Macias ◽  
Panagiotis Angeloudis

Unmanned aerial vehicles (UAVs) are being increasingly implemented in a range of applications. Their low payload capacity and ability to overcome congested road networks enables them to provide fast delivery services for urgent high-value low-volume cargo. This work investigates the economic viability of integrating UAVs into urban hospital supply chains. In doing so, a strategic model that determines the optimal configuration of supporting infrastructure for urgent UAV delivery between hospitals is proposed. The model incorporates a tailored facility location algorithm that selects an optimal number of hubs given a set of candidates and determines the number of UAVs required to fulfill total demand. The objective is to minimize the total cost of implementation, computed as the sum of generalized, battery, vehicle, and hub establishment costs. The model is applied to a case study based on the establishment of a UAV delivery network for deliveries between National Health Service (NHS) hospitals in London. A baseline scenario is also developed using current NHS vehicles for delivery. Results demonstrate that UAV-based delivery provides significant reductions in operational costs compared with the baseline. Furthermore, the analysis indicates the location of hubs is more significant to the solution optimality than any increase in range or payload.


Author(s):  
Isaac Levi Henderson ◽  
Savern L. Reweti ◽  
Robyn Kamira

This chapter examines the role of unmanned aerial vehicles (UAVs) in the delivery of medical and emergency supplies to remote areas. It outlines a number of potential considerations for operators wishing to use UAVs to deliver medical and emergency supplies to remote areas. These considerations address a number of practicalities in terms of the organisation that is wishing to conduct such operations, the operations themselves, and the technology that is used for such operations. These considerations primarily stem from the nature of the international regulatory framework for unmanned aircraft operations and the peculiarities of using a UAV to deliver medical and emergency supplies. The chapter will outline some of the practicalities that have been worked through or are being worked through during a project to deliver medical and emergency supplies in Northland, New Zealand. This will provide readers with examples of some of the real-world considerations that operators face as well as outline the positive community impact that such operations can provide.


Robotica ◽  
2019 ◽  
Vol 38 (3) ◽  
pp. 442-456 ◽  
Author(s):  
Hang Li ◽  
Andrey V. Savkin ◽  
Branka Vucetic

SummaryIn this paper, we propose a method of using an autonomous flying robot to explore an underground tunnel environment and build a 3D map. The robot model we use is an extension of a 2D non-holonomic robot. The measurements and sensors we considered in the presented method are simple and valid in practical unmanned aerial vehicle (UAV) engineering. The proposed safe exploration algorithm belongs to a class of probabilistic area search, and with a mathematical proof, the performance of the algorithm is analysed. Based on the algorithm, we also propose a sliding control law to apply the algorithm to a real quadcopter in experiments. In the presented experiment, we use a DJI Guidance sensing system and an Intel depth camera to complete the localization, obstacle detection and 3D environment information capture. Furthermore, the simulations show that the algorithm can be implemented in sloping tunnels and with multiple UAVs.


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