UAV-assisted reactive routing for urban VANETs

Oubbati, Omar Sami; Lakas, Abderrahmane; Güneş, Mesut; Zhou, Fen; Yagoubi, Mohamed Bachir

doi:10.1145/3019612.3019904

Cited by 16 publications

(15 citation statements)

References 15 publications

(13 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some challenges are highlighted such as LOS propagation in the sky. In [44], the terrestrial infrastructure is replaced with a drone to minimize the V2I delay on the straight road. The authors in [45] proposed using a drone to improve the packet delivery ratio and reduce the delay.…”

Section: B Uavs Assisted Deploymentmentioning

confidence: 99%

A Novel Collaborative IoD-Assisted VANET Approach for Coverage Area Maximization

et al. 2021

View full text Add to dashboard Cite

Internet of Drones (IoD) is an efficient technique that can be integrated with vehicular adhoc networks (VANETs) to provide terrestrial communications by acting as an aerial relay when terrestrial infrastructure is unreliable or unavailable. To fully exploit the drones' flexibility and superiority, we propose a novel dynamic IoD collaborative communication approach for urban VANETs. Unlike most of the existing approaches, the IoD nodes are dynamically deployed based on current locations of ground vehicles to effectively mitigate inevitable isolated cars in conventional VANETs. For efficiently coordinating IoD, we model IoD to optimize coverage based on the location of vehicles. The goal is to obtain an efficient IoD deployment to maximize the number of covered vehicles, i.e., minimize the number of isolated vehicles in the target area. More importantly, the proposed approach provides sufficient interconnections between IoD nodes. To do so, an improved version of succinct population-based meta-heuristic, namely Improved Particle Swarm Optimization (IPSO) inspired by food searching behavior of birds or fishes flock, is implemented for IoD assisted VANET (IoDAV). Moreover, the coverage, received signal quality, and IoD connectivity are achieved by IPSO's objective function for optimal IoD deployment at the same time. We carry out an extensive experiment based on the received signal at floating vehicles to examine the proposed IoDAV performance. We compare the results with the baseline VANET with no IoD (NIoD) and Fixed IoD assisted (FIoD). The comparisons are based on the coverage percentage of the ground vehicles and the quality of the received signal. The simulation results demonstrate that the proposed IoDAV approach allows finding the optimal IoD positions throughout the time based on the vehicle's movements and achieves better coverage and better quality of the received signal by finding the most appropriate IoD position compared with NIoD and FIoD schemes.

show abstract

Section: B Uavs Assisted Deploymentmentioning

confidence: 99%

A Novel Collaborative IoD-Assisted VANET Approach for Coverage Area Maximization

et al. 2021

View full text Add to dashboard Cite

show abstract

“…• An extension of our earlier work [7] is proposed to find the most appropriate routing path while overcoming the aforementioned issues. Indeed, the current work considers: (i) the route discovery based on fixed size control packets that are used intelligently to limit the overhead while avoiding obstructions by transmitting them through UAVs in the sky, (ii) the routing decision to select the adequate path for the data delivery, (iii) the data delivery to transmit the data packet through the selected path, and (iv) the maintenance strategy to recover path failures.…”

Section: Ref [6]mentioning

confidence: 99%

“…A novel technique is adopted in [7]. A discovery process is initiated by flooding a route request (RREQ) on-demand between a pair of communicating nodes.…”

Section: Introductionmentioning

confidence: 99%

UAV-Assisted Supporting Services Connectivity in Urban VANETs

Oubbati

Chaib

Lakas

et al. 2019

IEEE Trans. Veh. Technol.

Self Cite

127

View full text Add to dashboard Cite

To keep the services and applications of Intelligent Transportation System (ITS) stable and active, Vehicular Ad hoc Networks (VANETs) are considered as an essential building block to maintain and manage its features. A wide deployment of VANETs is possible only after addressing numerous research challenges. One of the most complicated issues consists in designing a routing strategy, taking into consideration several serious constraints, and especially in a network such as VANET. The severity of these issues would be increased significantly when a VANET is deployed over an urban area, where we distinguish the high mobility of nodes and existing obstructions (e.g., buildings, bridges, tunnels, etc.). In this paper, an efficient routing solution based on a flooding technique is conceived to make the data delivery more reliable and to guarantee robust paths. Vehicles can cooperate in ad hoc fashion with existing Unmanned Aerial Vehicles (UAVs). This kind of collaboration provides reliable routing paths and ensures alternative solutions in the case of path failures. Furthermore, a prediction technique is used to expect the expiration time of each discovered path. To limit the overhead over the network, all control packets are characterized by their static size making the originality of this work. Based on the simulation outputs, we discuss the performances of the proposed approach as compared with other dedicated previous schemes in terms of several metrics. The obtained results demonstrate that the hybrid communication between vehicles and UAVs based on the proposed flooding technique is perfectly suited to improve the data delivery process.

show abstract

“…In FANETs, effective routing will support to keep services and applications stable and available all the time. The FANET is an additional support to enhance the effectiveness of existing technologies such as VANETs and MANETs [40]. The ANs can be placed and dispatched in multiple scenarios to improve VANET and MANET applications to provide end-to-end connectivity between ground nodes.…”

Section: Introductionmentioning

confidence: 99%

IMOC: Optimization Technique for Drone-Assisted VANET (DAV) Based on Moth Flame Optimization

Tariq

Iqbal

Aadil

2020

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

Technology advancement in the field of vehicular ad hoc networks (VANETs) improves smart transportation along with its many other applications. Routing in VANETs is difficult as compared to mobile ad hoc networks (MANETs); topological constraints such as high mobility, node density, and frequent path failure make the VANET routing more challenging. To scale complex routing problems, where static and dynamic routings do not work well, AI-based clustering techniques are introduced. Evolutionary algorithm-based clustering techniques are used to solve such routing problems; moth flame optimization is one of them. In this work, an intelligent moth flame optimization-based clustering (IMOC) for a drone-assisted vehicular network is proposed. This technique is used to provide maximum coverage for the vehicular node with minimum cluster heads (CHs) required for routing. Delivering optimal route by providing end-to-end connectivity with minimum overhead is the core issue addressed in this article. Node density, grid size, and transmission ranges are the performance metrics used for comparative analysis. These parameters were varied during simulations for each algorithm, and the results were recorded. A comparison was done with state-of-the-art clustering algorithms for routing such as Ant Colony Optimization (ACO), Comprehensive Learning Particle Swarm Optimization (CLPSO), and Gray Wolf Optimization (GWO). Experimental outcomes for IMOC consistently outperformed the state-of-the-art techniques for each scenario. A framework is also proposed with the support of a commercial Unmanned Aerial Vehicle (UAV) to improve routing by minimizing path creation overhead in VANETs. UAV support for clustering improved end-to-end connectivity by keeping the routing cost constant for intercluster communication in the same grid.

show abstract

UAV-assisted reactive routing for urban VANETs

Cited by 16 publications

References 15 publications

A Novel Collaborative IoD-Assisted VANET Approach for Coverage Area Maximization

A Novel Collaborative IoD-Assisted VANET Approach for Coverage Area Maximization

UAV-Assisted Supporting Services Connectivity in Urban VANETs

IMOC: Optimization Technique for Drone-Assisted VANET (DAV) Based on Moth Flame Optimization

Contact Info

Product

Resources

About