Evaluation of efficient vehicular ad hoc networks based on a maximum distance routing algorithm

Al-Mayouf, Yusor Rafid Bahar; Abdullah, Nor Fadzilah; Ismail, Mahamod; Al-Qaraawi, Salih M.; Mahdi, Omar Adil; Khan, Suleman

doi:10.1186/s13638-016-0760-8

Cited by 24 publications

(12 citation statements)

References 28 publications

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“…Vehicular ad hoc networks (VANETs) were studied in [26][27][28], where two important factors are defined, communication lifetime and distance; these factors were used to find the closest node and time estimation for being in the communication range of forwarder. An efficient method for cluster head selection was adopted, and a reliable and efficient routing protocol was proposed to address the routing issues in [29].…”

Section: Literature Reviewmentioning

confidence: 99%

RBM: Region‐Based Mobile Routing Protocol for Wireless Sensor Networks

Mukhtar

Shiraz

Shaheen

et al. 2021

Wireless Communications and Mobile Computing

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Wireless sensor networks (WSNs) are employed for different applications for the reason of small-sized and low-cost sensor nodes. However, several challenges that include a low powered battery of the sensor nodes restrict their functionality. Therefore, saving energy in the routing process to extend network life is a serious concern while deploying applications on WSN. To this end, the key technology is clustering, which helps maximize scalability and network lifecycle. Base station (BS) collects data, aggregates it, and extracts the required information. To obtain the maximum outcome, the lifetime of the network is maximized by the use of different techniques and protocols. Data transmissions consume most of the network energy, and the transmissions over normal ranges require less energy as compared to transmissions over long ranges. Moreover, the nodes closer to the BS deplete their energy faster as compared to distant nodes because of traffic overload. The proposed protocol is aimed at reducing energy consumption and increasing the network lifetime. For this purpose, the network is divided into two regions: region 1 closer to the BS communicating directly, whereas region 2 farther away from the BS having routing nodes to communicate with the BS. Routing nodes do not take part in sensing function but will only move in region 2 collecting data and forwarding it to BS. MATLAB is used as the simulation tool for evaluation, and the results are compared with the existing optimized region-based efficient routing (AORED) and low-energy adaptive clustering hierarchical protocol (LEACH) techniques. The comparison showed that energy conservation and lifetime increased by 15%, and throughput is increased by more than 5% approximately.

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Section: Literature Reviewmentioning

confidence: 99%

RBM: Region‐Based Mobile Routing Protocol for Wireless Sensor Networks

Mukhtar

Shiraz

Shaheen

et al. 2021

Wireless Communications and Mobile Computing

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“…This approach upgrades the steadiness of clusters throughout network development. 19 Aadil et al 20,21 proposed the ACO-based clustering algorithm for the VANETs.…”

Section: Related Workmentioning

confidence: 99%

Intelligent clustering using moth flame optimizer for vehicular ad hoc networks

Ishtiaq

Ahmed

Khan

et al. 2019

International Journal of Distributed Sensor Networks

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Vehicular ad hoc networks consist of access points for communication, transmission, and collecting information of nodes and environment for managing traffic loads. Clustering can be performed in the vehicular ad hoc networks for achieving the desired goals. Due to the random range of vehicular ad hoc networks, stability is the major issue on which major research is still in progress. In this article, a moth flame optimization-driven clustering algorithm is presented for vehicular ad hoc networks, replicating the social behavior of moth flames in creating efficient clusters. The proposed framework is extracted from the living routine of moth flames. The proposed framework allows efficient communication by creating the augmented number of clusters due to which it is termed as intelligent algorithm. Besides this, the use of unsupervised clustering technique emphasizes to call it as an intelligent clustering algorithm. The recommended intelligent clustering using moth flame optimization framework is executed for resolving and optimizing the clustering problem in vehicular ad hoc networks, the primary focus of the proposed scheme is to improve the stability in vehicular ad hoc networks. This proposed method can also be used for the transmission of data in vehicular networks. Intelligent clustering using moth flame optimization is then proved by relative study with two variants of particle swarm optimization: multiple-objective particle swarm optimization and comprehensive learning particle swarm optimization and a variant of ant colony optimization: ant colony optimization-based clustering algorithm for vehicular ad hoc network. The simulation demonstrates that the intelligent clustering using moth flame optimization is provisioning optimal outcomes in contrast to widely known metaheuristics. Furthermore, it provides a robust routing mechanism based on the clustering. It is suitable for large highways for the productivity of quality communication, reliable delivery for each vehicle and can be widely applicant.

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“…In spite of the aforementioned proposed methods, the majority only considered channel access time according to message importance and required delay, without taking into account transmission power adaption, or the prioritization of messages according to channel status, which could improve channel throughput and reduce end-to-end delay [15][16][17][18]. In fact, the main goal of transmission power adaptation in VANETs is to increase throughput, network coverage, and link lifetime [19][20][21].…”

Section: Related Workmentioning

confidence: 99%

Transmission power adaption scheme for improving IoV awareness exploiting: evaluation weighted matrix based on piggybacked information

et al. 2018

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As part of the new era Internet of Things, an evolved form of Vehicle Ad-hoc Networks has recently emerged as the Internet of Vehicles (IoV). IoV has obtained a lot of attention among smart vehicle manufactures and illustrations due to its promising potential, but there are still some problems and challenges that need to be addressed. Transmission error occurs when an emergency message is disseminated to provide traffic awareness, and vehicles have to increase their channel transmission power to ensure further coverage and mitigate possible accidents. This might cause channel congestion and unnecessary power consumption due to an inaccurate transmission power setup. A promising solution could be achieved via periodically and predictively evaluating channel and GEO information that is transmitted over piggybacked beacons. Thus, in this paper we propose a Transmission Power Adaptation (TPA) scheme for obtaining better power tuning, which senses and examines the probability of channel congestion. Afterwards, it proactively predicts upcoming channel statuses using developed evaluation weighted matrixes, which observes correlations between coefficients in the variance of estimated metrics. Considering beacon transmission error rate, crowding inter-vehicle distance, and channel delay, the matrix is periodically constructed and weighted so that each metric is based on a predefined threshold value. Eventually, predicted channel status is used as an indicator to adjust transmission power. This leads to decreased channel congestion and better awareness in IoV. The performance of the proposed TPA scheme was evaluated using OMNeT++ simulation tools. The simulation results show that our proposed TPA scheme performs better than existing method in terms of overall throughput, average beacon congestion rate, beacon recipient rate probabilities, channel-busyness, transmission power over distance, and accident probabilities.

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Evaluation of efficient vehicular ad hoc networks based on a maximum distance routing algorithm

Cited by 24 publications

References 28 publications

RBM: Region‐Based Mobile Routing Protocol for Wireless Sensor Networks

RBM: Region‐Based Mobile Routing Protocol for Wireless Sensor Networks

Intelligent clustering using moth flame optimizer for vehicular ad hoc networks

Transmission power adaption scheme for improving IoV awareness exploiting: evaluation weighted matrix based on piggybacked information

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