Cost-Efficient and Preference-Aware Mobile Edge Caching in Public Vehicular Networks.

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Title: Cost-Efficient and Preference-Aware Mobile Edge Caching in Public Vehicular Networks.
Authors: Chen, Xiaopei1 (AUTHOR) ftchenxp@mail.scut.edu.cn, Lin, Zhijian2 (AUTHOR) zlin@fzu.edu.cn, Wu, Wenhao2 (AUTHOR) 221127202@fzu.edu.cn, Chen, Feng2 (AUTHOR) cfeng0594@163.com, Chen, Pingping2 (AUTHOR) ppchen.xm@gmail.com
Source: Mobile Networks & Applications. Aug2025, Vol. 30 Issue 3/4, p761-775. 15p.
Subjects: Vehicular ad hoc networks, Linear network coding, Popularity, Operating costs, Mobile communication systems, Computer network traffic
Abstract: Mobile edge caching (MEC) has emerged as a promising and economical solution to complement conventional infrastructure caching. Nonetheless, the vulnerability of vehicle-to-vehicle (V2V) links causes connection loss and limits data exchange. On the other hand, the traditional content popularity-based request model would lead to lower cache hit ratios and increased content retrieval times. To tackle this issue, a novel scheme of MEC-assisted public vehicular network is proposed in this study, where the random linear network coding (RLNC) based caching strategy is applied to allow public vehicles to simultaneously obtain coded blocks from multiple vehicles and infrastructures on the move. Besides, a content request model that considers content popularity, historical interest, and social attributes is explored. A cost minimization problem is formulated under the proposed scheme, which is a highly non-trivial stochastic problem. To this end, the data volume of V2V offloading is obtained by a divide and conquer (DC) algorithm, and then the caching strategy is derived by a heuristic-based algorithm. Finally, extensive simulations show that the proposed content model can achieve a higher local offloading ratio and the proposed scheme has a much lower cost compared to the baselines. [ABSTRACT FROM AUTHOR]
Copyright of Mobile Networks & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Cost-Efficient and Preference-Aware Mobile Edge Caching in Public Vehicular Networks.
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  Data: <searchLink fieldCode="JN" term="%22Mobile+Networks+%26+Applications%22">Mobile Networks & Applications</searchLink>. Aug2025, Vol. 30 Issue 3/4, p761-775. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Vehicular+ad+hoc+networks%22">Vehicular ad hoc networks</searchLink><br /><searchLink fieldCode="DE" term="%22Linear+network+coding%22">Linear network coding</searchLink><br /><searchLink fieldCode="DE" term="%22Popularity%22">Popularity</searchLink><br /><searchLink fieldCode="DE" term="%22Operating+costs%22">Operating costs</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+communication+systems%22">Mobile communication systems</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+network+traffic%22">Computer network traffic</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Mobile edge caching (MEC) has emerged as a promising and economical solution to complement conventional infrastructure caching. Nonetheless, the vulnerability of vehicle-to-vehicle (V2V) links causes connection loss and limits data exchange. On the other hand, the traditional content popularity-based request model would lead to lower cache hit ratios and increased content retrieval times. To tackle this issue, a novel scheme of MEC-assisted public vehicular network is proposed in this study, where the random linear network coding (RLNC) based caching strategy is applied to allow public vehicles to simultaneously obtain coded blocks from multiple vehicles and infrastructures on the move. Besides, a content request model that considers content popularity, historical interest, and social attributes is explored. A cost minimization problem is formulated under the proposed scheme, which is a highly non-trivial stochastic problem. To this end, the data volume of V2V offloading is obtained by a divide and conquer (DC) algorithm, and then the caching strategy is derived by a heuristic-based algorithm. Finally, extensive simulations show that the proposed content model can achieve a higher local offloading ratio and the proposed scheme has a much lower cost compared to the baselines. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Mobile Networks & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11036-025-02445-w
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 761
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      – SubjectFull: Vehicular ad hoc networks
        Type: general
      – SubjectFull: Linear network coding
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      – SubjectFull: Popularity
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      – SubjectFull: Operating costs
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      – SubjectFull: Mobile communication systems
        Type: general
      – SubjectFull: Computer network traffic
        Type: general
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      – TitleFull: Cost-Efficient and Preference-Aware Mobile Edge Caching in Public Vehicular Networks.
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            NameFull: Chen, Xiaopei
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            – D: 01
              M: 08
              Text: Aug2025
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              Y: 2025
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