A Study on Pathloss Model for UAV Based Urban Disaster and Emergency Communication Systems

Ranjan, Alok; Panigrahi, B. K.; Rath, Hemant Kumar; Misra, Prasant; Simha, Anantha; Sahu, H. B.

doi:10.1109/ncc.2018.8600260

Cited by 18 publications

(19 citation statements)

References 14 publications

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“…The work presented in [29] covers the use of the UAVs to transmit live videos to emergency services in traffic accidents. Another applicability of UAVs in urban environments, in both emergency and non-emergency situations, is the possibility of establishing air communications networks, to improve or re-establish telecommunications links [30]. Finally, for example, Rokhsaritalemi et al [31] established planning of trajectories in drones based on geographic information to carry out 3D models of urban environments.…”

Section: Emergency Drones Applicationsmentioning

confidence: 99%

3D Trajectory Planning Method for UAVs Swarm in Building Emergencies

Madridano

Al-Kaff

Martín

et al. 2020

Sensors

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The development in Multi-Robot Systems (MRS) has become one of the most exploited fields of research in robotics in recent years. This is due to the robustness and versatility they present to effectively undertake a set of tasks autonomously. One of the essential elements for several vehicles, in this case, Unmanned Aerial Vehicles (UAVs), to perform tasks autonomously and cooperatively is trajectory planning, which is necessary to guarantee the safe and collision-free movement of the different vehicles. This document includes the planning of multiple trajectories for a swarm of UAVs based on 3D Probabilistic Roadmaps (PRM). This swarm is capable of reaching different locations of interest in different cases (labeled and unlabeled), supporting of an Emergency Response Team (ERT) in emergencies in urban environments. In addition, an architecture based on Robot Operating System (ROS) is presented to allow the simulation and integration of the methods developed in a UAV swarm. This architecture allows the communications with the MavLink protocol and control via the Pixhawk autopilot, for a quick and easy implementation in real UAVs. The proposed method was validated by experiments simulating building emergences. Finally, the obtained results show that methods based on probability roadmaps create effective solutions in terms of calculation time in the case of scalable systems in different situations along with their integration into a versatile framework such as ROS.

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Section: Emergency Drones Applicationsmentioning

confidence: 99%

3D Trajectory Planning Method for UAVs Swarm in Building Emergencies

Madridano

Al-Kaff

Martín

et al. 2020

Sensors

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“…iii. Down Link Path Loss ( ) Down link free space path loss ( ) can be determined by Equation (38) (Elechi, & Otasowie, 2016;Ranjan, et al, 2018). Here is indicating the distance of the satellite from the receiver antenna.…”

Section: Link Margin or Weather Margin (mentioning

confidence: 99%

Link Budget Analysis in Designing a Web-application Tool for Military X-Band Satellite Communication

Akhtaruzzaman¹,

Bari

Hossain

et al. 2020

MIST International Journal of Science and Technology

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In satellite communication, Link Budget analysis is the most important part to determine gains and losses of signals from the transmitter to the receiver. Most importantly, it investigates system performance and optimum power which must be received at the receiver channel. In some cases, this information could be generated, saved for past data analysis, and share with peer users which are not found in existing web tools. Thus, it is obvious to design a new Link Budget calculator with users, database, and data retrieval support. This work focuses on designing a Link Budget web tool for X-band satellite communication through literature study and comparative analysis. The X-Band calculator is designed based on HTML, PHP, Javascript, and MySQL by ensuring several security issues, and can be accessed through mobile devices. This paper also focuses on the necessary equations of Link Budget for Uplink (Tx); Satellite; Downlink (Rx); Azimuth, Elevation, Distance analysis; and Rain attenuation. Though, comparative assessments among various web tools show some fluctuations, overall outputs show satisfactory results with small % of Errors (PoE) ensuring reliability and viability of the proposed X-Band tool for practical use.

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“…In [16] researchers investigate the performance of various propagation models, i.e. Two-ray, WinnerII, and Free-space Pathloss (FSPL), for emergency scenarios before selecting the best fitting model.…”

Section: Propagation Modelsmentioning

confidence: 99%

“…However, packet delay increases as the number of parallel services rises. In [16] researchers investigate the performance of various propagation models for emergency scenario before selecting the best fitting model. Their results show that the parameters of attenuation, altitude, frequency of operation, and flying altitude effect the pathloss model.…”

Section: Altitude and Elevation Anglementioning

confidence: 99%

“…A c A × R n (16) where P B is the ratio between the number of lost calls and the total number of calls, C is a rounding number of channels multiplied by obtaining an RSS for each rescue team, A is total traffic, H is the call duration, λ T is arrived calls rate, U is number of users, A u is the call rate per user, A c is carried traffic, and R n is number of cells. The probability of delay P D is expressed as follows:…”

Section: Gos Predictionmentioning

confidence: 99%

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Deployment of an aerial platform system for rapid restoration of communications links after a disaster: a machine learning approach

Almalki

Angelides

2019

Computing

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Having reliable telecommunication systems in the immediate aftermath of a catastrophic event makes a huge difference in the combined effort by local authorities, local fire and police departments, and rescue teams to save lives. This paper proposes a physical model that links base stations that are still operational with aerial platforms and then uses a machine learning framework to evolve ground-to-air propagation model for such an ad hoc network. Such a physical model is quick and easy to deploy and the underlying air-to-ground (ATG) propagation models are both resilient and scalable and may use a wide range of link budget, grade of service (GoS), and quality of service (QoS) parameters to optimise their performance and in turn the effectiveness of the physical model. The prediction results of a simulated deployment of such a physical model and the evolved propagation model in an ad hoc network offers much promise in restoring communication links during emergency relief operations.

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A Study on Pathloss Model for UAV Based Urban Disaster and Emergency Communication Systems

Cited by 18 publications

References 14 publications

3D Trajectory Planning Method for UAVs Swarm in Building Emergencies

3D Trajectory Planning Method for UAVs Swarm in Building Emergencies

Link Budget Analysis in Designing a Web-application Tool for Military X-Band Satellite Communication

Deployment of an aerial platform system for rapid restoration of communications links after a disaster: a machine learning approach

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