Challenges of Future VANET and Cloud-Based Approaches

Shrestha, Rakesh; Bajracharya, Rojeena; Nam, Seung Yeob

doi:10.1155/2018/5603518

Cited by 113 publications

(56 citation statements)

References 40 publications

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“…A vehicle that is located at a tail or at a front of a cluster and does not have one-hope neighbor communication from front or backward directions, should be excluded from being a CH. From (3) and (4), we can know if a vehicle is semi-full of neighbors if:…”

Section: A Modeling Of Efficient Clustersmentioning

confidence: 99%

A Simple and Robust Clustering Scheme for Large-Scale and Dynamic VANETs

Banikhalaf

Khder

2020

IEEE Access

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Clustering is a promising technique to manage network resources efficiently and, in vehicular communications it is used to group vehicles with similar characteristics managed by a selected vehicle called a Cluster Head (CH). Due to the highly dynamic topology in vehicular networks, a CH selection process becomes a challenging task. Thus, this paper presents a new clustering scheme, namely, Efficient Cluster Head Selection (ECHS) scheme to select the most suitable CHs. The proposed ECHS scheme introduces important conditions pertaining to the methods deployed in constructing clusters before starting the CH selection. For instance, based on the ECHS rules the ideal CH is the one that centralizes the cluster. This is because it will remain connected as long as possible with its neighbors. The ECHS scheme also guarantees proper clustering distribution in the network, so that the distance between two consecutive clusters are adjusted carefully. Such conditions are guaranteed to effectively cluster vehicles in the road and make the ECHS scheme works better than its counterpart. Simulation experiments are conducted to examine the performance of the ECHS and the results demonstrate that the ECHS scheme achieves the design objectives in terms of CH lifetime, Cluster Member Lifetime (CML), Packet Loss Ratio(PLR), Overhead for Clustering(OC), Average Packet Delay (APD), and Cluster Number (CN). INDEX TERMS Clustering, Cluster Head, Cluster Gateway Candidate, Vehicular Ad hoc Networks. I. INTRODUCTION Nowadays, shortcomings of the traditional transportation systems are eliminated significantly by employing intelligent Vehicular Ad hoc Networks (VANETs). Due to the rapid development of wireless sensors and Internet of Vehicles (IoVs) [1], VANETs can be integrated with other technologies such as Cloud and Fog computing [2][3][4]. This sort of integration makes VANETs easy to deploy and include more traffic management applications. Basically, communication in VANETs can be divided into two categories, depending on the types of the running applications and requested services. The first one, is Vehicleto-Vehicle (V2V) communication, which is commonly used when vehicles share local traffic information among each other without using infrastructure configuration [5][6][7]. The second one is Vehicle-to-Everything (V2X) communication which combines any type of communication between vehicles and infrastructure nodes such as a RoadSide Unit (RSU), a Fog Node, a Base Station, and a Cloud Center. (V2X) communication usually helps vehicle to collect information about different zones inside a city to deduct traffic congestions and to discover free-congested

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Section: A Modeling Of Efficient Clustersmentioning

confidence: 99%

A Simple and Robust Clustering Scheme for Large-Scale and Dynamic VANETs

Banikhalaf

Khder

2020

IEEE Access

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“…Privacy can be maintained in vehicles by confidentiality vehicles Identification. VANETs security must satisfy the requirements as authentication, integrity, non-repudiation, access control, privacy, data confidentiality and real-time guarantee [28]- [55]. In future there will be large heterogeneous vehicles and their uneven connections area biggest computational issues of future VANETs.…”

Section: A Challenges In Vanetsmentioning

confidence: 99%

Routing and Scheduling Issues in Vehicular Ad-hoc Networks

Kamble¹,

Kounte²

2019

IJRTE

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VANETs have developed as one of the largest potential topics in the field of automotive industries with promising and challenging futures in various aspects. VANETs permit intelligent vehicles to generate their own organized network without the need of the stable network. In this paper we introduce VANETs and its comparison with MANETs, standard wireless access in VANETs like WAVE model partly based on OSI model. We present a comprehensive study on routing protocol in VANETs like position-based routing, Geo-Cast based routing, etc. and scheduling in VANETs like deadline-based scheduling, hybrid-based scheduling, etc. This paper presents open research issues in VANETs highlighting challenges like security and privacy issues, network congestion control issues, etc, numerous routing and scheduling issues in VANETs.

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“…Various studies e.g. [9][10][11][12] shows that vehicular adhoc network suffers significant problems and the same problem do exists in vehicular cloud networks too [13].…”

Section: Introductionmentioning

confidence: 99%

Advancement in infotainment system in automotive sector with vehicular cloud network and current state of art

Reshma¹,

Chetanaprakash²

2020

IJECE

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The automotive industry has been incorporating various technological advancement on top-end versions of the vehicle order to improvise the degree of comfortability as well as enhancing the safer driving system. Infotainment system is one such pivotal system which not only makes the vehicle smart but also offers abundance of information as well as entertainment to the driver and passenger. The capability to offer extensive relay of service through infotainment system is highly dependent on vehicular adhoc network as well as back end support of cloud environment. However, it is know that such legacy system of vehicular adhoc network is also characterized by various problems associated with channel capacity, latency, heterogeneous network processing, and many more. Therefore, this paper offers a comprehensive insight to the research work being carried out towards leveraging the infotainment system in order to obtain the true picture of strength, limitation, and open end problems associated with infotainment system.

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Challenges of Future VANET and Cloud-Based Approaches

Cited by 113 publications

References 40 publications

A Simple and Robust Clustering Scheme for Large-Scale and Dynamic VANETs

A Simple and Robust Clustering Scheme for Large-Scale and Dynamic VANETs

Routing and Scheduling Issues in Vehicular Ad-hoc Networks

Advancement in infotainment system in automotive sector with vehicular cloud network and current state of art

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