Hybrid cooperative spectrum sensing scheme based on spatial–temporal correlation in cognitive radio enabled VANET

Li, Xi; Song, Tiecheng; Zhang, Yueyue; Chen, Guojun; Hu, Jing

doi:10.1049/iet-com.2018.5667

Cited by 5 publications

(6 citation statements)

References 28 publications

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“…Compared with V2V and V2I, there are only a few researches have concentrated on HVC mode [8], [20]- [28]. [20] initially described the architecture and benefits of the vehicle-to-vehicle-to-infrastructure (V2V2I), i.e., HVC mode, in 2008.…”

Section: A Related Workmentioning

confidence: 99%

“…Furthermore, under a more practical uplink scenario where antennas at the RSU experience correlated fading, Jameel et al [25] evaluate the packet error probability for two renowned antenna correlation models and devise optimal solutions for the transmitting power. Recently, in order to simultaneously overcome spectrum scarcity and network connectivity issues, an idea of introducing the cognitive radio (CR) technology into VANETs, i.e., CR-VANETs, has become popular [26]- [28]. Based on the dense and sparse network conditions which respectively represent city and highway scenarios, [26] proposes an infrastructure-aided hybrid routing protocol that uses a RSU to help vehicular nodes to select idle channels and relays.…”

Section: A Related Workmentioning

confidence: 99%

“…Firstly, as mentioned above, the majority of research is focused on V2V and V2I, with just a few on HVC mode. Even though [8], [21]- [24], [26]- [28] are proposed for this purpose, the vehicle source is assisted only by multiple APs or Vs in these works. For example, Vehicle nodes in CR-VANETs can only select other vehicles as relays with the assistance of the RSU [26].…”

mentioning

confidence: 99%

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Throughput and Energy Efficiency of Cooperative ARQ Strategies for VANETs Based on Hybrid Vehicle Communication Mode

Wang

Gaber

et al. 2020

IEEE Access

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Vehicular ad-hoc networks (VANETs) are promising research areas which mainly include three communication modes: vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I) and hybrid vehicle communication (HVC). But most of the current research on HVC mode in which vehicle nodes and infrastructures coexist only focuses on the analysis of the optimal single-type relay selection schemes. Inspired by this, in order to design an optimal multi-relay selection scheme which can select different types of relays simultaneously, and to compare it with single-type schemes, this paper firstly introduces a more practical network scenario by proposing a four-node system model which considers communication links between relays and building different channel models for different types of links. Four optimal relay selection protocols, which are named as Non-OR, SOR-AP, SOR-V and DOR-APV respectively, are then designed from the perspective of the different types and numbers of selected relays. The exact expressions of outage probability for each protocol are calculated based on the automatic repeat request (ARQ) protocol to evaluate the link interruption of the four protocols. Furthermore, this paper establishes a generalized 2dimensional discrete time Markov chain (DTMC) model and analyzes the one-step state transition probability for each protocol. The closed-form expressions of system throughput and energy efficiency are derived by calculating the steady state distribution of the DTMC. Finally, the simulation results summarize the suitable network scenarios for which the four proposed protocols are recommended by comparing their system performance, so as to provide some suggestions for the future design and optimization of vehicle mobile networks.

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Section: A Related Workmentioning

confidence: 99%

Section: A Related Workmentioning

confidence: 99%

mentioning

confidence: 99%

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Throughput and Energy Efficiency of Cooperative ARQ Strategies for VANETs Based on Hybrid Vehicle Communication Mode

Wang

Gaber

et al. 2020

IEEE Access

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“…One of the main features of a VANET is the spatial-temporal aspect, creating a dynamic graph [26], [28], [37], [41], [81]. Graph theory and complex network theory are used to handle this distinguishing feature of the IoV [29], [38], [42], [81], [82]. Using network density, diameter, and connectivity, Loulloudes et al showed vehicles traveling on freeways tend to have longer connections with one another as compared to urban routes [28].…”

Section: A Vehicle To Vehicle Interactionsmentioning

confidence: 99%

“…Clustering methods were used by Avcil et al to track network topology changes and to manage network stability [29]. Combining the cooperative sensing spectrum and spatial temporal features of a VANET, a reduction in user selection frequency was achieved [42]. Store-and-forward relays have been used to restore connectivity by making use of the spatial temporal aspect of VANETs [39], [40].…”

Section: A Vehicle To Vehicle Interactionsmentioning

confidence: 99%

A Network-Centric Analysis for the Internet of Vehicles and Simulation Tools

et al. 2020

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The Internet of Vehicles (IoV) is an emerging research framework, with network and graph theories as two of the major fields. Researchers in these topics use a variety of tools and approaches to simulate and perform experimentation on their proposed methodologies. A comprehensive study to facilitate the selection of such simulation tools is lacking from the literature. In this work, we provide a systematic review of the different simulation platforms. More precisely, the contributions of this paper are fourfold: firstly, we propose a two-tier hierarchical taxonomy based on the trends in the literature; secondly, we investigate the strengths and limitations of different simulation platforms; and thirdly, we take a network theoretic approach to identify the patterns in IoV research. To this end, we create a network of the publications and populate the edges among them. Community detection is performed using Louvian and Clauset-Newman-Moore algorithms. To the best of our knowledge, this is a novel approach to reviewing the literature which provides a more in-depth analysis of the trends in the literature. Finally, we review the common datasets for IoV experimentation.

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Cognitive radio and machine learning modalities for enhancing the smart transportation system: A systematic literature review

Idris,

Ahmedy,

Soon

et al. 2024

ICT Express

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Hybrid cooperative spectrum sensing scheme based on spatial–temporal correlation in cognitive radio enabled VANET

Cited by 5 publications

References 28 publications

Throughput and Energy Efficiency of Cooperative ARQ Strategies for VANETs Based on Hybrid Vehicle Communication Mode

Throughput and Energy Efficiency of Cooperative ARQ Strategies for VANETs Based on Hybrid Vehicle Communication Mode

A Network-Centric Analysis for the Internet of Vehicles and Simulation Tools

Cognitive radio and machine learning modalities for enhancing the smart transportation system: A systematic literature review

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