LANET: Visible-light ad hoc networks

Cen, Nan; Jagannath, Jithin; Moretti, Simone; Guan, Zhonghong; Melodia, Tommaso

doi:10.1016/j.adhoc.2018.04.009

Cited by 41 publications

(19 citation statements)

References 53 publications

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“…Authors in other works discuss purely VLC MAC, and further, we discuss these works. Memedi et al investigate collision probability in V‐VLC (Vehicular VLC) through simulation.…”

Section: Literature Reviewmentioning

confidence: 98%

“…As the network size increases, the number of nodes contending for channel access also increases resulting in increased probability of channel access failure given in (5) and plotted in Figure 9A. As the failure probability of channel access increases, the probability of success in a high number of backoff attempts also increases as given in (11), resulting in large backoff delay given in (12). For both RBT scheme and IEEE 802.15.7 delay increases with increase in the number of nodes.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…There is not much research work available related to VLC MAC . Moreover, due to small coverage area and line of sight, most of the related literature considers hybrid VLC/RF networks, We start with VLC MAC in the hybrid scenario and move to more specifically related area afterward.…”

Section: Literature Reviewmentioning

confidence: 99%

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Reserve before transmit (RBT): VLC MAC layer frame structure for 5G indoor internet applications

Amjad

Qureshi

Jangsher

2018

Trans Emerging Tel Tech

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For achieving high bandwidth, fast, and robust communication in 5G, multiple technologies are needed to work under heterogeneous networks. Visible light communication, due to its high bandwidth, low latency, and small interference area, will be a significant part of 5G along with mmwave. In this paper, a new frame structure has been proposed that implements reserve before transmit scheme. In this scheme, the active portion of the frame starts with contention access‐based reservation period (RP) followed by access point response (RES Reply) and TDMA‐based guaranteed time slots for successful nodes. In contrast to fixed slot assignment in TDMA, contention‐based reservation avoids idle slot wastage due to fixed allotment. Moreover, small reserve packets keep medium busy for a short time, the benefit of which is a lower probability of failed channel access. The proposed scheme has been compared with IEEE 802.15.7 for a sufficiently large length of RP. A Markov model of the system has been developed for analyzing the effect of RP length on the network performance. The result depicts that reserve before transmit–based frame structure provides an increase of 170% in reliability and decrease of 80% in channel access delay as compared to existing IEEE 802.15.7 CSMA/CA‐based access.

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“…Authors in other works discuss purely VLC MAC, and further, we discuss these works. Memedi et al investigate collision probability in V‐VLC (Vehicular VLC) through simulation.…”

Section: Literature Reviewmentioning

confidence: 98%

Section: Performance Evaluationmentioning

confidence: 99%

See 1 more Smart Citation

Reserve before transmit (RBT): VLC MAC layer frame structure for 5G indoor internet applications

Amjad

Qureshi

Jangsher

2018

Trans Emerging Tel Tech

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“…It generally works at infrared (IR), visible light, and ultraviolet (UV) bands and spectrum ranges of 430-790 THz [150]. It has several advantages compared with DSRC's RF technology; for example, it has no adverse electromagnetic interference (EMI) effect, possesses low latency, has additional complementary bandwidth for RF, and is less susceptible to security breaches [151]. The applications of VLC in VANET can be found in several V2V communication types, such as lane change information, V2B, sensing before any crash, and traffic signaling.…”

Section: B: Visible Light Communication (Vlc) For Vanetmentioning

confidence: 99%

“…It can be used as an alternative solution of DSRC when overcrowding occurs [152]. The main disadvantages of VLC in VANET are as follows: it requires line-of-sight (LOS) communication, it has a very short range capability, it exerts a shadowing effect, suffers from interference with direct sunlight, absorption, and scattering, and depends on weather conditions [151].…”

Section: B: Visible Light Communication (Vlc) For Vanetmentioning

confidence: 99%

Comprehensive Survey of Machine Learning Approaches in Cognitive Radio-Based Vehicular Ad Hoc Networks

et al. 2020

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Nowadays, machine learning (ML), which is one of the most rapidly growing technical tools, is extensively used to solve critical challenges in various domains. Vehicular ad hoc network (VANET) is expected to be the key role player in reducing road casualties and traffic congestion. To ensure this role, a gigantic amount of data should be exchanged. However, current allocated wireless access for VANET is inadequate to handle such massive data amounts. Therefore, VANET faces a spectrum scarcity issue. Cognitive radio (CR) is a promising solution to overcome such an issue. CR-based VANET or CR-VANET must achieve several performance enhancement measures, including ultra-reliable and lowlatency communication. ML methods can be integrated with CR-VANET to make CR-VANET highly intelligent, achieve rapid adaptability to the dynamicity of the environment, and improve the quality of service in an energy-efficient manner. This paper presents an overview of ML, CR, VANET, and CR-VANET, including their architectures, functions, challenges, and open issues. The applications and roles of ML methods in CR-VANET scenarios are reviewed. Insights into the use of ML for autonomous or driverless vehicles are also presented. Current advancements in the amalgamation of these prominent technologies and future research directions are discussed. INDEX TERMS Machine learning, VANET, cognitive radio, autonomous vehicles, smart transportation system. performance of CR-VANET [15]. Security enhancement is one of the major issues in CR-VANET. Here, a vehicle can pretend to be a PU and propagate false information to obtain spectrum access selfishly. ML can be used to detect such actions and enhance security [16], [17]. ML also provides an optimum route to CR-VANET users to avoid traffic jams and road accidents. ML can also play a vital role in the best infotainment experience in CR-VANET. It can be used for appropriate scheduling, selecting the best channel, and prioritizing messages. CR and ML can play a major role in the next-generation driverless car system. The role of CR in the next-generation transportation system has been presented in previous discussions. This survey shows how ML can be applied to reduce road accidents and traffic congestion. CR can be used to accommodate the spectrum required to support massive data communication among automated driverless vehicles and networks. ML can be an integral part of this driverless or automated vehicle system. Similar to a robot, an autonomous vehicle (AV) can learn the surrounding environment and communicate with increased safety, reliability, QoS, and energy efficiency by applying such learning. This paper presents the dynamic usages of ML in CR-VANET elaborately. Several of the benefits of CR in VANETs and ML in VANETs and CR-VANETs are presented in Table 1. B. CONTRIBUTIONS OF THIS SURVEY ARTICLE Many survey articles describe CR, VANET, ML, and CR-VANETs individually or describe a few aspects of their amalgamation. To the best of our knowledge, surveys that cover the usage of ML in CR-VANET...

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Investigation of SNR in VLC-Based Intelligent Transportation System Under Environmental Disturbances

Maheshwari

Grover

Mishra

2020

Mobile Radio Communications and 5G Networks

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LANET: Visible-light ad hoc networks

Cited by 41 publications

References 53 publications

Reserve before transmit (RBT): VLC MAC layer frame structure for 5G indoor internet applications

Reserve before transmit (RBT): VLC MAC layer frame structure for 5G indoor internet applications

Comprehensive Survey of Machine Learning Approaches in Cognitive Radio-Based Vehicular Ad Hoc Networks

Investigation of SNR in VLC-Based Intelligent Transportation System Under Environmental Disturbances

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