A new scalable reactive location based ad hoc routing protocol for VANETs

Rajesh, K. Satya; Karthick, R. Vimal; Raj, G. S.

doi:10.1109/icices.2014.7033848

Cited by 2 publications

(3 citation statements)

References 11 publications

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“…for example proposed a scalable reactive location-based routing protocol that reduces the routing overhead in VANETs [71]. It was shown through simulation that the proposed routing protocol had a higher packet delivery rate, lower end-to-end delay performance, and a lower routing overhead illustrating its efficiency and scalability.…”

Section: E Scalability and Costmentioning

confidence: 99%

“…List of Previous Efforts Access Technology [27], [29], [33], [34], [39], [40] QoS Performance [42], [43], [44], [45], [46], [47] Capacity & Coverage [48], [49], [50], [51], [52], [53], [54], [55] Security & Privacy [60], [61], [62], [63], [64], [65], [66] Scalability & Cost [67], [68], [69], [70], [71], [72], [73] Standardization [74], [75], [76], [77] computing as well as network function virtualization, and machine learning.…”

Section: Challengementioning

confidence: 99%

See 1 more Smart Citation

Softwarization, Virtualization, and Machine Learning for Intelligent and Effective Vehicle-to-Everything Communications

Moubayed

Shami

2022

IEEE Intell. Transport. Syst. Mag.

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The concept of the fifth generation (5G) mobile network system has emerged in recent years as telecommunication operators and service providers look to upgrade their infrastructure and delivery modes to meet the growing demand. Concepts such as softwarization, virtualization, and machine learning will be key components as innovative and flexible enablers of such networks. In particular, paradigms such as software-defined networks, softwaredefined perimeter, cloud & edge computing, and network function virtualization will play a major role in addressing several 5G networks' challenges, especially in terms of flexibility, programmability, scalability, and security. In this work, the role and potential of these paradigms in the context of V2X communication is discussed. To do so, the paper starts off by providing an overview and background of V2X communications. Then, the paper discusses in more details the various challenges facing V2X communications and some of the previous literature work done to tackle them. Furthermore, the paper describes how softwarization, virtualization, and machine learning can be adapted to tackle the challenges of such networks.

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Section: E Scalability and Costmentioning

confidence: 99%

Section: Challengementioning

confidence: 99%

Softwarization, Virtualization, and Machine Learning for Intelligent and Effective Vehicle-to-Everything Communications

Moubayed

Shami

2022

IEEE Intell. Transport. Syst. Mag.

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“…Based on which, it is clear that the second routing protocol characterizes a superiority for varied VANETs [3,4]. Unfortunately, even the position based routing protocols have received considerable interest in the VANETs, it is up against many potential challenges, i.e., the latency of real-time capabilities, position accuracy, huge overhead, and increased cost of applications.…”

Section: Introductionmentioning

confidence: 99%

Genetic Algorithm Based QoS Perception Routing Protocol for VANETs

Zhang

Duan

et al. 2018

Wireless Communications and Mobile Computing

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A genetic algorithm (GA) based QoS perception routing protocol (GABR) is proposed to guarantee the quality of service (QoS) influenced by broken links between vehicles and the failure of packets transmission in a vehicular ad hoc network (VANET). With the observation that all improvable paths are probed by the intersection based routing protocol, the genetic GA is utilized to optimize the global available paths which satisfies the QoS requirement. Moreover, by means of the numerical results, it is shown that the proposed scheme is significantly improved compared with protocols of the intersection based routing (IBR) and connectivity aware routing (CAR) in terms of transmission delay and packet loss rate.

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A new scalable reactive location based ad hoc routing protocol for VANETs

Cited by 2 publications

References 11 publications

Softwarization, Virtualization, and Machine Learning for Intelligent and Effective Vehicle-to-Everything Communications

Softwarization, Virtualization, and Machine Learning for Intelligent and Effective Vehicle-to-Everything Communications

Genetic Algorithm Based QoS Perception Routing Protocol for VANETs

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