scholarly journals LoRaWAN Networking in Mobile Scenarios Using a WiFi Mesh of UAV Gateways

Electronics ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 630
Author(s):  
Marco Stellin ◽  
Sérgio Sabino ◽  
António Grilo
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Performance Metrics ◽  
Base Station ◽  
Network System ◽  
The Core ◽  
End To End Delay ◽  
Aerial Vehicle ◽  
Connection Recovery

Immediately after a disaster, such as a flood, wildfire or earthquake, networks might be congested or disrupted and not suitable for supporting the traffic generated by rescuers. In these situations, the use of a traditional fixed-gateway approach would not be effective due to the mobility of the rescuers. In the present work, a double-layer network system named LoRaUAV has been designed and evaluated with the purpose of finding a solution to the aforementioned issues. LoRaUAV is based on a WiFi ad hoc network of Unmanned Aerial Vehicle (UAV) gateways acting as relays for the traffic generated between mobile LoRaWAN nodes and a remote Base Station (BS). The core of the system is a completely distributed mobility algorithm based on virtual spring forces that periodically updates the UAV topology to adapt to the movement of ground nodes. LoRaUAV has been successfully implemented in ns-3 and its performance has been comparatively evaluated in wild area firefighting scenarios, using Packet Reception Ratio (PRR) and end-to-end delay as the main performance metrics. It is observed that the Connection Recovery and Maintenance (CRM) and Movement Prediction (MP) mechanisms implemented in LoRaUAV effectively help improve the PRR, with the only disadvantage of a higher delay affecting a small percentage of packets caused by buffer delays and disconnections.

Discussion on the Technology Application of OFDM in the Ad-Hoc Network of Unmanned Aerial Vehicle (UAV)

2014 ◽  
Vol 721 ◽  
pp. 645-648
Author(s):  
Zheng Yuan ◽  
Shang Dong Yang ◽  
Hong Wei Liu
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Data Transmission ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Physical Layer ◽  
Network Communication ◽  
Technology Application ◽  
Coordination Model ◽  
Aerial Vehicle ◽  
Transmission Capability

The coordination model of UAV network is attracting widespread attention. Considering from the flight characteristics of UAV, the Ad Hoc network should be adopted. This paper analyzes the characteristics of Ad Hoc network, and focuses on the further discussion on the physical layer technology OFDM to conclude that the application of OFDM technology in the UAV network communication can improve the data transmission capability.

scholarly journals An UAV-assisted VANET architecture for intelligent transportation system in smart cities

2021 ◽  
Vol 17 (7) ◽  
pp. 155014772110317
Author(s):  
Ali Raza ◽  
Syed Hashim Raza Bukhari ◽  
Farhan Aadil ◽  
Zeshan Iqbal
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Intelligent Transportation System ◽  
Smart Cities ◽  
Intelligent Transportation ◽  
Vehicular Ad Hoc Network ◽  
Aerial Vehicles ◽  
Aerial Vehicle

Vehicular ad hoc network is a pretty research vibrant area since last decade. It has been successfully used for intelligent transportation system and entertainment purposes for realization of smart cities. However, intermittent connectivity, high routing overhead, inflexible communication infrastructure, unscalable networks, and high packet collision are the key challenges that put hindrances on the wide applications of vehicular ad hoc network. The severity of these challenges become even more intensified when deployed in urban areas. To overcome these hurdles, integrating micro unmanned aerial vehicles with vehicular ad hoc network provides a viable solution. In this article, we proposed an unmanned aerial vehicle–assisted vehicular ad hoc network communication architecture in which unmanned aerial vehicles fly over the deployed area and provide communication services to underlying coverage area. Unmanned aerial vehicle–assisted vehicular ad hoc network avails the advantages of line-of-sight communication, load balancing, flexible, and cost effective deployment. The performance of the proposed model is evaluated against a case study of vehicle collision on highway. Results show that utilization of unmanned aerial vehicles ensures the guaranteed and timely delivery of emergency messages to nearby vehicles so that a safe action can be taken to avoid further damages.

scholarly journals Bottomless Taxonomy of Cooperative Design for Flying Ad Hoc Network

2020 ◽  
Vol 9 (4) ◽  
pp. 578-583
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Ad Hoc Network ◽  
Network Architecture ◽  
Ad Hoc ◽  
Dynamic Environment ◽  
Cooperative Networks ◽  
Framework Design ◽  
Dynamic Topology ◽  
Aerial Vehicle ◽  
Different Characteristics

A framework of a network explains the application of the system. In cooperative framework design, model and architecture is the issued context of dynamic topology. The topology of the network continuously changes when the nodes are moving. There are different topologies and routing protocols that are running frontally and at backsides considered in the paper. We have done deep analysis on various protocols and network architecture of UAVs (unmanned aerial vehicle). Some different characteristics have been taken to explain the unmanned aerial vehicle as example. There are multiple factors and different scenarios that acknowledge the operability of cooperative network. In addition, the paper has been designed in such a way that it defines different aspects of cooperative networks. Collaboration and cooperation are the networking tasks for the multiple groups of nodes that combine and provide a reliable connectivity between the nodes. Flying ad hoc network (FANET) is the same name of unmanned aerial vehicle that are flying with the dynamic environment and can identify the ground node to send information. This is important task for the aerial nodes that are continuously flying in the air and send data collected from particular area. So, every task is important for accomplished task such as coordination and cooperation of all the nodes. This paper overall has focused on deep analysis of the taxonomy for unmanned aerial vehicle in the real environment.

Fair Deployment of an Unmanned Aerial Vehicle Base Station for Maximal Coverage

2019 ◽  
Vol E102.B (10) ◽  
pp. 2014-2020
Author(s):  
Yancheng CHEN ◽  
Ning LI ◽  
Xijian ZHONG ◽  
Yan GUO
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Base Station ◽  
Aerial Vehicle

Traffic Congestion Reduction and Accident Circumvention System via Incorporation of CAV and VANET

2021 ◽  
Vol 12 (1) ◽  
pp. 53-72
Author(s):  
Mohsin Khan ◽  
Bhavna Arora
Keyword(s):  
Real Time ◽  
Data Transmission ◽  
Traffic Congestion ◽  
Ad Hoc Network ◽  
Discrete System ◽  
Ad Hoc ◽  
New Age ◽  
The Real ◽  
Automated Vehicle ◽  
The Core

Connected automated vehicle (CAV) technology is the core for the new age vehicles in research phase to communicate with one another and assimilation of vehicular ad-hoc network (VANET) for the transference of data between vehicles at a quantified place and time. This manuscript is an enactment of the algorithms associated to the maintenance of secure distance amongst vehicles, lane shifting, and overtaking, which will diminish the occurrence of collisions and congestions especially phantom jams. Those implementations are centered over CAV and VANET technology for the interconnection of the vehicles and the data transmission. The data is associated to the aspects of a vehicle such as speed, position, acceleration, and acknowledgements, which acts as the fundamentals for the computation of variables. In accordance with the environment of a particular vehicle (i.e., its surrounding vehicles), real-time decisions are taken based on the real-time computation of the variables in a discrete system.

scholarly journals A Fluid Model for a Relay Node in an Ad Hoc Network: Evaluation of Resource Sharing Policies

2008 ◽  
Vol 2008 ◽  
pp. 1-25 ◽  
Author(s):  
Michel Mandjes ◽  
Werner Scheinhardt
Keyword(s):  
Resource Sharing ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Performance Metrics ◽  
Fluid Model ◽  
Waiting Times ◽  
Relay Node ◽  
Arbitrary Point ◽  
Fluid Particle ◽  
Flow Transfer

Fluid queues offer a natural framework for analyzing waiting times in a relay node of an ad hoc network. Because of the resource sharing policy applied, the input and output of these queues are coupled. More specifically, when there are users who wish to transmit data through a specific node, each of them obtains a share of the service capacity to feed traffic into the queue of the node, whereas the remaining fraction is used to serve the queue; here is a free design parameter. Assume now that jobs arrive at the relay node according to a Poisson process, and that they bring along exponentially distributed amounts of data. The case has been addressed before; the present paper focuses on the intrinsically harder case , that is, policies that give more weight to serving the queue. Four performance metrics are considered: (i) the stationary workload of the queue, (ii) the queueing delay, that is, the delay of a “packet” (a fluid particle) that arrives at an arbitrary point in time, (iii) the flow transfer delay, (iv) the sojourn time, that is, the flow transfer time increased by the time it takes before the last fluid particle of the flow is served. We explicitly compute the Laplace transforms of these random variables.

scholarly journals Efficient Heuristic Based on Clustering Approach for OLSR

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Ali Choukri ◽  
Ahmed Habbani ◽  
Mohamed El Koutbi
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Delivery Ratio ◽  
Dynamic Nature ◽  
End To End Delay ◽  
Delay Control ◽  
Clustering Approach ◽  
Mobile Ad Hoc

Due to the dynamic nature of mobile ad hoc network (MANET), the quality of service (QoS) requires several improvements. The present papercomeswithin the framework of research to optimize QoS in MANET. In this paper, we propose a novel version of OLSR based on the clustering approach which is inspired from Lin and Chu heuristic and adapted to beimplemented inOLSR. We studied its stability and we compared its performances to those of standard OLSR. The metrics we used in evaluating network performances were average end-to-end delay, control routing overhead, and packet delivery ratio. Experimental results show that our alternative significantly reduces the traffic reserved to monitoring the network, which positively influences other performances such as throughput, delay, and loss.

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