2021
DOI: 10.1016/j.cosrev.2021.100418
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A review on specification evaluation of broadcasting routing protocols in VANET

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Cited by 31 publications
(15 citation statements)
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“…The robust fuzzy sliding mode rule has been applied to guide the Autonomous Underwater Vehicles (AUV) [ 23 ]. Here, both sensors enable path planning and machine learning-enabled path planning [ 24 , 25 ] learning from historical scenario data and traffic knowledge sharing is lacking among autonomous vehicles in the same traffic environment which is the core target of this research detailed in the following sections.…”
Section: Related Workmentioning
confidence: 99%
“…The robust fuzzy sliding mode rule has been applied to guide the Autonomous Underwater Vehicles (AUV) [ 23 ]. Here, both sensors enable path planning and machine learning-enabled path planning [ 24 , 25 ] learning from historical scenario data and traffic knowledge sharing is lacking among autonomous vehicles in the same traffic environment which is the core target of this research detailed in the following sections.…”
Section: Related Workmentioning
confidence: 99%
“…In the VANET environment, medium access control (MAC) protocols play a critical role in providing reliable communications and disseminating important safety messages (SMs) to avoid chain reactions and catastrophes by efficiently utilizing the shared wireless channel. Providing an efficient MAC protocol is a challenge because of the high speed of the vehicles, frequent topology changes, insufficient infrastructure, and wide range of quality-of-service (QoS) requirements [ 13 , 14 , 15 , 16 ]. Time division multiple access (TDMA)-based MAC protocols are becoming an emerging research topic in the area of VANETs, in which time is divided into frames and each frame is divided into time slots, and various vehicles can access different time slots [ 17 , 18 ].…”
Section: Introductionmentioning
confidence: 99%
“…Although VANET offers a wide range of automotive services for paying passengers' needs and satisfying Quality of Service (QoS) constraints, it may not guarantee the local traffic databases and timely detection of road conditions as well as lacks transmission reliability among vehicles that have adversely affected the rate of network lifetime and overall performance. Due to its rapid change in their network design, high consumption of transmission power, limitations of communication range, and frequent fragmentation [3].…”
Section: Introductionmentioning
confidence: 99%