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Coding or Not: Optimal Mobile Data Offloading in Opportunistic Vehicular Networks
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BibTeX
@MISC{Li_codingor,
author = {Yong Li and Depeng Jin and Zhaocheng Wang and Senior Member and Lieguang Zeng and Sheng Chen},
title = {Coding or Not: Optimal Mobile Data Offloading in Opportunistic Vehicular Networks},
year = {}
}
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Abstract
Abstract—To cope with explosive vehicular traffic and ever-increasing application demands in the vehicular cellular network, opportunistic vehicular networks are used to disseminate mobile data by high-capacity device-to-device communication, which off-loads significant traffic from the cellular network. In the current opportunistic vehicular data transmission, coding-based schemes are proposed to address the challenge of opportunistic contact. However, whether coding techniques can be beneficial in the con-text of vehicular mobile data offloading is still an open question. In this paper, we establish a mathematical framework to study the problem of coding-based mobile data offloading under realistic network assumptions, where 1) mobile data items are heteroge-neous in terms of size; 2) mobile users have different interests to different data; and 3) the storage of offloading participants is limited. We formulate the problem as a users ’ interest satisfaction maximization problem with multiple linear constraints of limited storage. Then, we propose an efficient scheme to solve the problem, by providing a solution that decides when the coding should be used and how to allocate the network resources in terms of contact rate and offloading helpers ’ storage. Finally, we show the effectiveness of our algorithm through extensive simulations using two real vehicular traces. Index Terms—Erasure coding, mobile data offloading, oppor-tunistic vehicular networks. I.
Keyphrases
opportunistic vehicular network optimal mobile data offloading mobile data mobile user contact rate ever-increasing application demand limited storage open question coding-based mobile data cellular network coding-based scheme different interest network resource explosive vehicular traffic vehicular cellular network real vehicular trace efficient scheme opportunistic contact extensive simulation helper storage current opportunistic vehicular data transmission high-capacity device-to-device communication different data mathematical framework realistic network assumption user interest satisfaction maximization problem significant traffic vehicular mobile data offloading multiple linear constraint mobile data item index term erasure coding oppor-tunistic vehicular network
