Multi-hop Routing with Proactive Route Refinement for 60 GHz Millimeter-Wave Networks

Samarathunga, Chanaka; Abouelseoud, Mohamed; Sakoda, Kazuyuki; Hashemi, Morteza

doi:10.1109/vtc2021-spring51267.2021.9448838

Cited by 3 publications

(3 citation statements)

References 10 publications

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“…For each dataset instance, we randomly generate the 3D locations of N UAVs in Ω following a uniform distribution while considering an exclusion distance to avoid two or more UAVs being positioned in the same location. The proposed model is trained to minimize the cost function (11) using the Adam optimizer [36] with Adam hyperparameters β 1 = 0.5, β 2 = 0.999. The learning rates of the discriminator and generator are fixed at 0.0002, and the training is conducted using a batch size of 32.…”

Section: Resultsmentioning

confidence: 99%

“…This score represents how real or fake the discriminator considers the output of the generator. The model is trained using the loss function (11), which is a mix of adversarial loss of WGAN ( 13) and 1 loss:…”

Section: Generative Adversarial Network (Gans)-based Solutionmentioning

confidence: 99%

“…Several previous works investigated the routing problem in FANETs [ 9 ] and mmWave networks [ 10 , 11 ]. However, these solutions may not always be applicable when both technologies are jointly deployed.…”

Section: Introductionmentioning

confidence: 99%

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A WaveGAN Approach for mmWave-Based FANET Topology Optimization

Odat,

Ghazzai,

Alsharoa

2023

Sensors

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The integration of dynamic Flying Ad hoc Networks (FANETs) and millimeter Wave (mmWave) technology can offer a promising solution for numerous data-intensive applications, as it enables the establishment of a robust flying infrastructure with significant data transmission capabilities. However, to enable effective mmWave communication within this dynamic network, it is essential to precisely align the steerable antennas mounted on Unmanned Aerial Vehicles (UAVs) with their corresponding peer units. Therefore, it is important to design a novel approach that can quickly determine an optimized alignment and network topology. In this paper, we propose a Generative Adversarial Network (GAN)-based approach, called WaveGAN, for FANET topology optimization aiming to maximize the network throughput by selecting the communication paths with the best channel conditions. The proposed approach consists of a WaveGAN model followed by a beam search. The former learns how to generate optimized network topologies from a supervised dataset, while the latter adjusts the generated topologies to meet the structure requirements of the mmWave-based FANET. The simulation results show that the proposed approach is able to quickly find FANET topologies with a very small optimality gap for different network sizes.

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Section: Resultsmentioning

confidence: 99%

Section: Generative Adversarial Network (Gans)-based Solutionmentioning

confidence: 99%

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A WaveGAN Approach for mmWave-Based FANET Topology Optimization

Odat,

Ghazzai,

Alsharoa

2023

Sensors

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Effect of NTT on Performance of AODV in a Linear AD HOC Network

Sharma

Singh²,

Srivastava³

2022

ijngc

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Wireless Ad Hoc Networks (WANETs) are predicted to be prevalent networks in coming future because of their infrastructure-less characteristics that result in self-organization, self-healing, and self-configuration of such networks. Routing means the process of selecting a path along which data can be transferred from source to destination that plays a significant role in the performance of ad hoc networks. There are many routing protocols developed for wireless ad hoc networks. One of such protocols, developed by C. E. Perkins, is Ad Hoc On-demand Distance Vector (AODV) routing protocol, which is a reactive routing protocol, AODV is used to establish route(s) between source node(s) and destination node(s) as and when routes are required. Performance of AODV routing protocol depends heavily on choice of values of a set of predefined attributes. One of such attributes of AODV is Node Traversal Time (NTT) which is supposed to play significant role in establishing route(s) between source node(s) and destination node(s). In this paper, we have investigated the performance of AODV in a linear wireless ad hoc network using different values of NTT using as well as without using Hello messages. The performance of the network has been measured using several metrics like Route Error Overhead, Routing Overhead, Normalized Routing Load, Average Hop Count, Total Number of Received Data Packets, Packet Delivery Ratio, Average End-to-End Delay and Throughput. It is observed that choice of value of NTT has a significant effect on establishment of route(s) between source node(s) and destination node(s) that eventually affects the performance of the linear wireless ad hoc network under consideration. The insights gained through this work could be useful in analysis of more realistic and complex networks.

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Investigation of Route Request Retries of AODV Routing Protocol in a Linear Wireless Ad Hoc Network

Singh

Sharma

Srivastava

2022

ijngc

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AODV is a reactive routing protocol that sets up routes between source and destination nodes as and whenneeded. The performance of AODV protocol depends on the choice of certain parameters including route requestretries which is, by default, set as two in the corresponding RFC. In the present work, the effect of Route RequestRetries (RRR) on a set of performance metrics viz. Normalized Routing Load (NRL), Average End-to-End Delay(AEED), Packet Delivery Ratio (PDR) and Throughput has been investigated for a linear ad hoc network of fivenodes. Three different scenarios have been investigated wherein middle node is made to remain stationary, mobilewith low mobility and mobile with high mobility. Mobility of the middle node is found to be having significanteffect on the performance of such linear ad hoc networks. RRR has no influence on the performance of linear adhoc network of stationary nodes. However, RRR is having significant effect on the performance of linear ad hocnetwork if a node is made mobile. Performance of such linear ad hoc network is also affected by the choice ofduration of simulation.

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Multi-hop Routing with Proactive Route Refinement for 60 GHz Millimeter-Wave Networks

Cited by 3 publications

References 10 publications

A WaveGAN Approach for mmWave-Based FANET Topology Optimization

A WaveGAN Approach for mmWave-Based FANET Topology Optimization

Effect of NTT on Performance of AODV in a Linear AD HOC Network

Investigation of Route Request Retries of AODV Routing Protocol in a Linear Wireless Ad Hoc Network

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