Evaluation and analysis of an enhanced hybrid wireless mesh protocol for vehicular ad hoc network

Eltahir, Amal A.; Saeed, Rashid A.; Mukherjee, Amitava; Hasan, Mohammad Kamrul

doi:10.1186/s13638-016-0666-5

Cited by 31 publications

(7 citation statements)

References 17 publications

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“…The proposed method goes to its highest value, which is 50, as compared to fuzzy-IoT, two fuzzy, and FDMS; for this specific value, the vehicle speed and velocity are the same as other clusters' vehicles. The vehicles leave the cluster if the vehicle moves faster or slower velocity than the other vehicles [78][79][80][81][82][83]. The possibilities of vehicle to reside inside the cluster are more when the value of Fuzzy-IoT is increased.…”

Section: Performance Resultsmentioning

confidence: 99%

Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks

et al. 2021

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Many algorithms use clustering to improve vehicular ad hoc network performance. The expected points of many of these approaches support multiple rounds of data to the roadside unit and constantly include clustering in every round of single-hop data transmission towards the road side unit; however, the clustering in every round maximizes the number of control messages and there could be the possibility of collision and decreases in network energy. Multi-hop transmission prolongs the cluster head node’s lifetime and boosts the network’s efficiency. Accordingly, this article proposes a new fuzzy-clustering-based routing algorithm to benefit from multi-hop transmission clustering simultaneously. This research has analyzed the limitation of clustering in each round, different algorithms were used to perform the clustering, and multi-hop routing was used to transfer the data of every cluster to the road side unit. The fuzzy logic was used to choose the head node of each cluster. Three parameters, (1) distance of each node, (2) remaining energy, and (3) number of neighbors of every node, were considered as fuzzy criteria. The results of this research were compared to various other algorithms in relation to parameters like dead node in every round, first node expire, half node expire, last node expire, and the network lifetime. The simulation results show that the proposed approach outperforms other methods. On the other hand, the vehicular ad hoc network (VANET) environment is vulnerable at the time of data transmission. The NS-2 software tool was used to simulate and evaluate the proposed fuzzy logic opportunistic routing’s performance results concerning end-to-end delay, packet delivery, and network throughput. We compare to the existing protocols, such as fuzzy Internet of Things (IoT), two fuzzy, and Fuzzy-Based Driver Monitoring System (FDMS). The performance comparison also emphasizes an effective utilization of the resources. Simulations on the highway environment show that the suggested protocol has an improved Quality of Service (QoS) efficiency compared to the above published methods in the literature.

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Section: Performance Resultsmentioning

confidence: 99%

Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks

et al. 2021

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“…In [11], an enhanced hybrid wireless mesh protocol (E-HWMP) protocol was proposed to form multi-hop routing through VANETs, to allow vehicles equipped with 802.11p/802.11s to connect to the Internet via LTE eNodeB. In this protocol, a new scheme of clustering for the multi-hop relay in vehicular communication is implemented.…”

Section: Related Workmentioning

confidence: 99%

“…Thus, the signal received with power threshold Pth should be, on average, detected at the maximum transmission range R: (10) where, K=Gt Grλ²/(2π)²L is a constant value, λ is the wavelength, Gt and Gr are respectively antenna gains of the transmitter and receiver, and L is the path loss factor, usually set to 1. We substitute each parameter in equation 8 and we finally get: (11) Note that Pr can be calculated if the parameters m and R are available. The inter-vehicle distance d separated two vehicles is used to estimate the parameter m [17].…”

Section: Effective Link Stabilitymentioning

confidence: 99%

An Efficient Mobile Gateway Selection and Discovery Based-Routing Protocol in Heterogeneous LTE-VANET Networks

Abada¹,

Adrdor²,

Boutkhoum³

et al. 2023

IJCNC

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Coupling cellular communication networks with vehicular ad hoc networks (VANET) can be a very interesting way out for providing Internet access to vehicles in the road. However, due to the several specific characteristics of VANETs, making an efficient multi-hop routing from vehicular sources to the Internet gateways through Long Term Evolution (LTE) technology is still challenging. In this paper, an Internet mobile gateway selection scheme is proposed to elect more potential vehicles to behave as gateways to Internet in VANETs. Therefore, the discovery and the selection of route to those mobiles gateways is carried out via an efficient multiple metrics-based relay selection mechanism. The objective is to select the more reliable route to the mobile gateways, by reducing the communication overhead and performing seamless handover. The proposed protocol is compared with one recent protocol based on packet delivery ratio, average end-to-end delay and overhead. The results show that the proposed protocol ameliorates significantly the network performance in the contrast of the other protocol.

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“…Self-management algorithms provide a model capable of improving the operating performance of connected vehicles to the internet, enhancing safety standards, traffic management, and providing various services for internet-based vehicles. The use of AI mechanisms improves data collection processes for various and diverse vehicles connected to the internet and enables modelling techniques for both vehicles and the environment, which helps in deducing the variables that occur on the IoV network [42][43][44]. Recently, AI technologies have provided effective solutions to visualize largescale IoV network that use a very large number of vehicles, sensors, and computing with higher efficient communication capabilities.…”

Section: The 5g Based Iov Communication Systemmentioning

confidence: 99%

Internet of vehicle's resource management in 5G networks using AI technologies: Current status and trends

et al. 2021

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The Internet of Vehicles (IoV) and Vehicle‐to‐Everything (V2X) concept have emerged from IoT technology, which refers to connecting many vehicles with various applications to the internet. The 5G new radio is based on a cloud‐radio access network (CRAN), considered as the communication infrastructure for IoV. However, due to the significant challenges and issues, researchers have been working on IoV and V2X. One of the main challenges for V2X is resource allocation and management for a high‐speed vehicular environment. This paper discusses and provides complete detail for resource allocation and management for IoV over 5G RAN networks focusing on artificial intelligence techniques. The paper also presented reviews on integrating the multi‐layers of vehicular network architecture with AI strategy to identify advancement and future directions for resource allocation and management issues.

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Evaluation and analysis of an enhanced hybrid wireless mesh protocol for vehicular ad hoc network

Cited by 31 publications

References 17 publications

Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks

Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks

An Efficient Mobile Gateway Selection and Discovery Based-Routing Protocol in Heterogeneous LTE-VANET Networks

Internet of vehicle's resource management in 5G networks using AI technologies: Current status and trends

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