2022
DOI: 10.1016/j.future.2022.03.019
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Task offloading in vehicular fog computing: State-of-the-art and open issues

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Cited by 46 publications
(18 citation statements)
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“…Twenty two papers were literature review includes one paper published in 2016 ([ 125 ]), one paper in 2017 ([ 57 ]), two papers in 2018 ([ 63 , 185 ]), seven papers in 2019 ([ 27 , 109 , 164 , 194 , 207 , 210 , 228 ]), three papers in 2020 ([ 85 , 86 , 195 ]), five papers in 2021 ([ 60 , 191 , 192 , 200 , 211 ]), and three papers up to April 2022 [ 153 , 154 , 214 ]. Some of these papers focused on certain purposes such as resource management [ 154 ], while others were general literature reviews without focusing on certain purposes such as [ 214 ]. The latter, though, were not included in the classification of Fig.…”
Section: Descriptive Analysismentioning
confidence: 99%
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“…Twenty two papers were literature review includes one paper published in 2016 ([ 125 ]), one paper in 2017 ([ 57 ]), two papers in 2018 ([ 63 , 185 ]), seven papers in 2019 ([ 27 , 109 , 164 , 194 , 207 , 210 , 228 ]), three papers in 2020 ([ 85 , 86 , 195 ]), five papers in 2021 ([ 60 , 191 , 192 , 200 , 211 ]), and three papers up to April 2022 [ 153 , 154 , 214 ]. Some of these papers focused on certain purposes such as resource management [ 154 ], while others were general literature reviews without focusing on certain purposes such as [ 214 ]. The latter, though, were not included in the classification of Fig.…”
Section: Descriptive Analysismentioning
confidence: 99%
“…We suggest a purpose-oriented categorization in this paper. Our approach, on the other hand, varies from comparable studies (E.g., [ 154 , 192 , 211 , 214 ]) as it does so by utilizing a rigorous statistical methodology based on the literature, making it more relevant to present BC advances and illustrating future BC trends with high fidelity. As a result, we present a thorough and comprehensive classification of BC-based goals, which is visually depicted in Fig.…”
Section: Blockchain-fog Computing Purposesmentioning
confidence: 99%
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“…According to the worldwide CAV forecast from the International Data Corporation (IDC), the global market size of CAVs that are at upper levels of autonomy ( ) will rise from 31.4 million units during the period 2019–2020 to 54.2 million units during the period 2024–2025, reflecting a five-year Compound Annual Growth Rate (CAGR) of 11.5% , accessed on 20 October 2022). Feature by feature, the IoT adds novel capabilities for the smart, safe and secure operation of an incoming CAV fleet, a dramatic shift towards an increasingly autonomous future [ 3 ].…”
Section: Introductionmentioning
confidence: 99%