Mission planning for UAV-based opportunistic disaster recovery networks

Zhong, Lei; Garlichs, Keno; Yamada, Shigeki; Toko, Kiyoshi; Ji, Yusheng

doi:10.1109/ccnc.2018.8319233

Cited by 19 publications

(8 citation statements)

References 12 publications

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“…Additionally, numerous works have considered the benefits of UAVs in a variety of non-military applications. Recent examples include UAV logistics infrastructure (Shavarani et al 2018, Hong et al 2018, Kim and Awwad 2017, Chauhan et al 2019, healthcare (Scott andScott 2018, Kim et al 2017), and disaster response (Rabta et al 2018, Chowdhury 2018, Zhong et al 2018. A survey of the literature on UAVs for civil applications is provided by Otto et al (2018).…”

Section: Related Literaturementioning

confidence: 99%

The Multiple Flying Sidekicks Traveling Salesman Problem: Parcel Delivery with Multiple Drones

Murray

Raj

2019

SSRN Journal

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Section: Related Literaturementioning

confidence: 99%

The Multiple Flying Sidekicks Traveling Salesman Problem: Parcel Delivery with Multiple Drones

Murray

Raj

2019

SSRN Journal

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“…Unmanned aerial vehicles (UAVs) have been widely used in a large number of applications over the last years in many different fields, for example, environmental monitoring [1,2,3], visual coverage [4,5,6], natural disaster management [7,8,9,10], among others.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Multi-UAV Network Applied to Scanning Rocket Impact Area

Silva

Souza

Alsina

et al. 2019

Sensors

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This paper presents a communication network for a squadron of unmanned aerial vehicles (UAVs) to be used in the scanning rocket impact area for Barreira do Inferno Launch Center—CLBI (Rio Grande do Norte, Brazil), aiming at detecting intruder boats. The main features of communication networks associated with multi-UAV systems are presented. This system sends information through Wireless Sensor Networks (WSN). After comparing and analyzing area scanning strategies, it presents the specification of a data communication network architecture for a squadron of UAVs within a sensor network using XBee Pro 900HP S3B modules. A brief description is made about the initial information from the construction of the system. The embedded hardware and the design procedure of a dedicated communication antenna to the XBee modules are presented. In order to evaluate the performance of the proposed architecture in terms of robustness and reliability, a set of experimental tests in different communication scenarios is carried out. Network management software is employed to measure the throughput, packet loss and other performance indicators in the communication links between the different network nodes. Experimental results allow verifying the quality and performance of the network nodes, as well as the reliability of the communication links, assessing signal received quality, range and latency.

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“…In the second step, when a disaster is unavoidable (e.g., Earthquake), UAVs can access and respond effectively to emergency requests by monitoring the target area, tracking possible missing victims, and providing time-critical rescue aids [257]. The last step allows UAVs to put in place an emergency communication infrastructure to support recovery and to help rescue teams to be deployed accurately in the area of interest [258]. All these steps are illustrated in Fig.…”

Section: Uav Disaster Managementmentioning

confidence: 99%

UAV assistance paradigm: State-of-the-art in applications and challenges

Alzahrani

Oubbati

Barnawi

et al. 2020

Journal of Network and Computer Applications

329

128

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Unmanned Aerial Vehicles (UAVs) are an emerging technology with the potential to be used in industries and various sectors of human life to provide a wide range of applications and services. During the last decade, there has been a growing focus of research in the UAV's assistance paradigm as a fundamental concept resulting in the constant improvement between different kinds of ground networks and the hovering UAVs in the sky. Recently, the wide availability of embedded wireless interfaces in the communicating entities has allowed the deployment of such a paradigm simpler and easiest. Moreover, due to UAVs' controlled mobility and adjustable altitudes, they can be considered as the most appropriate candidate to enhance the performance and overcome the restrictions of ground networks. This comprehensive survey both studies and summarizes the existing UAV-assisted research, such as routing, data gathering, cellular communications, Internet of Things (IoT) networks, and disaster management that supports existing enabling technologies. Descriptions, classifications, and comparative studies related to different UAV-assisted proposals are presented throughout the paper. By pointing out numerous future challenges, it is expected to simulate research in this emerging and hot research area. To the best of our knowledge, there are many survey papers on the topic from a technology perspective. Nevertheless, this survey can be considered as the first attempt at a comprehensive analysis of different types of existing UAV-assisted networks and describes the state-of-the-art in UAV-assisted research.

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Mission planning for UAV-based opportunistic disaster recovery networks

Cited by 19 publications

References 12 publications

The Multiple Flying Sidekicks Traveling Salesman Problem: Parcel Delivery with Multiple Drones

The Multiple Flying Sidekicks Traveling Salesman Problem: Parcel Delivery with Multiple Drones

Performance Evaluation of Multi-UAV Network Applied to Scanning Rocket Impact Area

UAV assistance paradigm: State-of-the-art in applications and challenges

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