Road traffic and geography topology based opportunistic routing for VANETs

Ding, Yu; Liu, Ya-zhi; Gong, Xiangyang; Wang, Wendong

doi:10.1016/s1005-8885(14)60313-7

Cited by 14 publications

(5 citation statements)

References 11 publications

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“…Ding et al . [25] presented an opportunistic routing depending on the geography and the road traffic flow (ORRIS) in VANET. The routing technique had utilised the details about geography, motion vectors and traffic flows.…”

Section: Motivationmentioning

confidence: 99%

Multi‐objective auto‐regressive whale optimisation for traffic‐aware routing in urban VANET

Rewadkar¹,

Doye²

2018

IET Information Security

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Section: Motivationmentioning

confidence: 99%

Multi‐objective auto‐regressive whale optimisation for traffic‐aware routing in urban VANET

Rewadkar¹,

Doye²

2018

IET Information Security

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“…The quantification standard of frequency adverbs is the frequency of the word expressed, and the quantification standard of degree adverbs is the degree of the word expressed [13][14] [15].…”

Section: Measure Of Frequency Adverbs and Degree Adverbsmentioning

confidence: 99%

Quantification Research on the Fuzzy Semantics of English Adverbs Based on MMTD

Zhang

Liu

2013

AMR

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Natural language processing is an important subject in the field of artificial intelligence; one of the key issues is the quantification research on the fuzzy semantics, and the fuzziness of natural language is mostly reflected on the adverbs. This paper presented one new method to quantify the English adverbs. After briefly introducing the Medium Logic (ML) and Measure of Medium Truth Degree (MMTD), commendatory and derogatory were qualitatively described with logical predicates C and C respectively; the truth degree related to C or C of an adverb could be quantitatively calculated by the model proposed based on the existed research achievement of linguistics in this paper. The given computing of frequency adverb and degree adverb shows that above methods to process fuzzy semantics of adverbs is effective.

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“…VANET supports several ITS systems like traffic monitoring and safety, internet services, information about busy, and free routes 6–12 . One important component of ITS is a VANET, which makes precious communication between vehicles and the base station 13–15 . Machine learning allows for fast supervised and unsupervised learning of the obtained data, which helps VANET achieve its goal 16–19 .…”

Section: Introductionmentioning

confidence: 99%

Impact of hybridized rider optimization with cuckoo search algorithm on optimal VANET routing

Gnanasekar¹,

Samiappan

2021

Int J Communication

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Summary VANET routing is a serious concern due to some of the limitations in terms of routing costs. More research has already worked on VANET routing strategies for enhancing the performance of the network. However, optimal route selection is a tedious or complex issue in this scenario. To cope with this issue, this research work attempts to introduce a new VANET routing model that considers certain network quality measures such as congestion, travel, collision, and QoS awareness cost. A new cost model is designed based on the given constraints. Along with this, the fuzzification of the QoS factor is considered along with the total routing cost. This work determines the optimal route selection with minimized routing cost by employing a novel optimization algorithm called Rider Integrated Cuckoo Search (RI‐CS) that hybridizes the concept of Rider Optimization Algorithm (ROA) and Cuckoo Search (CS). Finally, the performance of the proposed RI‐CS is analyzed against the conventional models like Particle Swarm Optimization (PSO), Firefly algorithm (FA), Grey Wolf Optimizer (GWO), Whale Optimization Algorithm (WAO), ROA, CS, Mean Computing Jaya Algorithm (MC‐JA), and Grey Updated Butterfly Operator (GU‐BO) in terms of certain cost analysis.

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Road traffic and geography topology based opportunistic routing for VANETs

Cited by 14 publications

References 11 publications

Multi‐objective auto‐regressive whale optimisation for traffic‐aware routing in urban VANET

Multi‐objective auto‐regressive whale optimisation for traffic‐aware routing in urban VANET

Quantification Research on the Fuzzy Semantics of English Adverbs Based on MMTD

Impact of hybridized rider optimization with cuckoo search algorithm on optimal VANET routing

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