CAMONET: Moth-Flame Optimization (MFO) Based Clustering Algorithm for VANETs

Shah, Yasir Ali; Habib, Hafiz Adnan; Aadil, Farhan; Khan, Muhammad Fahad; Maqsood, Muazzam; Nawaz, Tabassam

doi:10.1109/access.2018.2868118

Cited by 74 publications

(37 citation statements)

References 24 publications

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“…The latest algorithm in the bio-inspired algorithm is moth flame optimization (MFO) invented by Mirjalili in 2015 [11]. The use of MFO was firstly carried out by Shah et al in which it was named CAMONET [12]. This algorithm aimed to find the optimal cluster size on VANET.…”

Section: Related Workmentioning

confidence: 99%

ABNC: Adaptive Border Node Clustering Using Genes Fusion Based on Genetic Algorithm to Support the Stability of Cluster in VANET

Adrian¹,

Sulistyo²,

Mustika³

et al. 2020

IJIES

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The clustering method in the vehicular ad-hoc network provides an opportunity for a cluster head to improve the network connections, but it still remains a problem in the border cluster. The vehicles, in view of their position in the slices of two clusters, receive a weak signal from the cluster head. The intersection area causes a throughput decrease for cluster members. To provide the network connection in the border cluster, we, in turn, proposed an adaptive border node clustering by utilizing the combination of K-Medoids algorithm, modified Genetic Algorithm and modified Tabu Search. We ameliorated the recent model in Enhanced Model of Weighted K-Medoids Clustering Algorithm by adding the fusion process to the best gene pieces into one individual temporary. The effects of this fusion were on the production of a temporary cluster that can make the main cluster environment more stable. This temporary cluster was adapted to the position of the two closest main cluster heads. Our model was found able to increase throughput and to keep the stability of cluster members at any velocities. The increase in throughput represents an improvement parameter in the network quality of service (QoS). We achieved the overall throughput at 93.97% (throughput vs cluster member) compared with the previous methods and the cluster member stable at around 25 vehicles (cluster member vs transmission range) in varied conditions.

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Section: Related Workmentioning

confidence: 99%

ABNC: Adaptive Border Node Clustering Using Genes Fusion Based on Genetic Algorithm to Support the Stability of Cluster in VANET

Adrian¹,

Sulistyo²,

Mustika³

et al. 2020

IJIES

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“…Some hybrid routing schemes used in MANETs, VANETs, and FANETs are ant colony optimization [119], grey wolf optimization [120,121], moth flame optimization [122,123], and energy aware link based clustering [102].…”

Section: Routing Frameworkmentioning

confidence: 99%

Routing Schemes in FANETs: A Survey

Khan

Yau

Noor

et al. 2019

Sensors

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Flying ad hoc network (FANET) is a self-organizing wireless network that enables inexpensive, flexible, and easy-to-deploy flying nodes, such as unmanned aerial vehicles (UAVs), to communicate among themselves in the absence of fixed network infrastructure. FANET is one of the emerging networks that has an extensive range of next-generation applications. Hence, FANET plays a significant role in achieving application-based goals. Routing enables the flying nodes to collaborate and coordinate among themselves and to establish routes to radio access infrastructure, particularly FANET base station (BS). With a longer route lifetime, the effects of link disconnections and network partitions reduce. Routing must cater to two main characteristics of FANETs that reduce the route lifetime. Firstly, the collaboration nature requires the flying nodes to exchange messages and to coordinate among themselves, causing high energy consumption. Secondly, the mobility pattern of the flying nodes is highly dynamic in a three-dimensional space and they may be spaced far apart, causing link disconnection. In this paper, we present a comprehensive survey of the limited research work of routing schemes in FANETs. Different aspects, including objectives, challenges, routing metrics, characteristics, and performance measures, are covered. Furthermore, we present open issues.

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“…Cluster means connecting a number of vehicles that are in the same transmission range. One of these vehicles is called cluster-head (CH) and the remaining vehicles are called cluster-members (CMs), with the CH responsible for managing intra and inter-cluster communication [5]. The benefit of clustering enhancement network performance is that it reduces connection congestion at the base-stations in the network.…”

Section: Introductionmentioning

confidence: 99%

“…As far as possible, please keep the introduction comprehensible to scientists outside your particular field of research. References should be numbered in order of appearance and indicated by a numeral or numerals in square brackets, e.g., [1] or [2,3], or [4][5][6]. See the end of the document for further details on references.…”

Section: Introductionmentioning

confidence: 99%

A Novel Intelligent Cluster-Head (ICH) to Mitigate the Handover Problem of Clustering in VANETs

Abbas¹,

Habelalmateen²,

Audah³

et al. 2019

IJACSA

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The huge development in the number of Vehicle factories have resulted in many people having lost their life due to accident, which has made vehicular Ad-hoc networks (VANETs) hot topic to enable improved communication between vehicles aimed at reducing the loss of life. The main challenge in this area is vehicle mobility, which has direct effect on network stability. Thus, most previous studies that discussed clustering focused on cluster formation, cluster-head selection and the stability of cluster to reduce the impact of mobility in the network, with little attention given to the clusters when passing from base-station to neighbor base-station. Therefore, this study focused on handover problem that occurs after cluster formation and cluster-head election during cluster passing from base station to base station, known as overlapping area. As the cluster in an overlapping area receives two signals from different base stations, the signal arriving at the cluster becomes weak due to interference between two frequencies resulting in loss of cluster information in the overlapping area. In this study, proposed a novel method named Intelligent Cluster-Head (ICH), which is a controller on two clusters that are used to change uplink between clusters to solve the handover problem in the overlapping area. The proposed method was evaluated with VMaSC-1hop method. The proposed method achieved percentage of packet loss up to 0.8%, percentage of packet delivery ratio (PDR) 99%, percentage of number of disconnected links 0.12% and percentage of network efficiency 99% in the cells edge.

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CAMONET: Moth-Flame Optimization (MFO) Based Clustering Algorithm for VANETs

Cited by 74 publications

References 24 publications

ABNC: Adaptive Border Node Clustering Using Genes Fusion Based on Genetic Algorithm to Support the Stability of Cluster in VANET

ABNC: Adaptive Border Node Clustering Using Genes Fusion Based on Genetic Algorithm to Support the Stability of Cluster in VANET

Routing Schemes in FANETs: A Survey

A Novel Intelligent Cluster-Head (ICH) to Mitigate the Handover Problem of Clustering in VANETs

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