Aparecium Wi-Fi Planner using Enhanced Indoor Propagation Model

Ghandour, Ali; Haydar, Jamal; Hariri, Ali; Chahine, Jad

doi:10.1109/iwcmc48107.2020.9148272

Cited by 5 publications

(2 citation statements)

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“…RSU possesses multiple functionalities like routing, data storage, and computing potential. The communication efficiency and Quality of Service (QoS) in VANETs are affected by the following aspects: (1) the routing process mechanism, (2) the effect of protocol overhead on the available overhead, and (3) the selection of different channels that target the diminish of the interference level 5‐7 . Hence, due to the strict interference among multiple transmissions, QoS routing is considered a challenging task in multihop vehicular networks.…”

Section: Introductionmentioning

confidence: 99%

“…(1) the routing process mechanism, (2) the effect of protocol overhead on the available overhead, and (3) the selection of different channels that target the diminish of the interference level. [5][6][7] Hence, due to the strict interference among multiple transmissions, QoS routing is considered a challenging task in multihop vehicular networks. Our work targets the management of interference in the MAC sublayer and the network layer of the vehicular environment.…”

Section: Introductionmentioning

confidence: 99%

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A cross‐layered scheme for multichannel and reactive routing in vehicular ad hoc networks

Chbib

Khoukhi

Fahs

et al. 2022

Trans Emerging Tel Tech

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Recently, with the different issues encountered in road mobility, the presence and development of the Vehicular Ad hoc Networks (VANETs) have become a necessity. VANETs have various positive impacts on vehicular safety, road security, traffic management, drivers' comfort, and passengers' convenience. However, the expansion in the world's population has led to enormous traffic congestion on multiple roads. This congestion results in uncontrollable delays affecting economics, society and the environment. In this paper, we propose two routing protocols that depend on the Signal to Interference Ratio (SIR), differing from existing ones by introducing a new metric to select the best route from a source to a destination. In the first protocol, we choose the best route based on the maximum level of SIR at each node. Besides, we select the Backup SIR to minimize the number of SIR calculations at the channel update process. While in the second protocol, we design a hybrid Markov chain model composed of two Markov models; the first one aims at predicting the SIR value of the next round, while the second one is an analytical model that targets managing the number of channel update process. In order to validate our solution, extensive simulations are realized in considering the real scenario of the city of Beirut (Lebanon). The results show that our proposed protocols perform better with regard to overhead, packet delivery ratio, throughput and end‐to‐end delay.

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Section: Introductionmentioning

confidence: 99%