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Adaptive Data Transmission Control for Reliable and Efficient Spatio-Temporal Data Retention by Vehicles
著者
  Hiroki Teshiba, Daiki Nobayashiy, Kazuya Tsukamoto and Takeshi Ikenaga
 
雑誌名/会議名
  Proc. The Sixteenth International Conference on Networks, Venice, Italy, April 23 - 27, 2017 2017 年 4 月
 
アブストラクト
  Vehicles, which have penetrated deeply into society and have become essential to our daily lives, have two major characteristics that are comparable with conventional communication devices (such as cellular phones). First, since each modern vehicle is now equipped with large computational power and vast data storage capacity, they can easily collect, process, and individually store vast amounts of data. Second, they have remarkably high mobility, and can thus transport and spread stored data to everywhere very effectively. Therefore, in this study, we focus on vehicular ad-hoc networks (VANETs) constructed solely with vehicles, and without any support from outside infrastructure. On one hand, although users can usually receive various application services through the Internet, some specific services, such as those handling traffic and local weather information, are strongly dependent on geographical location and time (and so this information is referred to as spatio-temporal data in this paper), which is not readily available via the Internet. Therefore, as a means to providing spatio-temporal data reliably and effectively by exploiting VANET, we propose an adaptive transmission control method in which each vehicle controls data transmission probability by considering the data retention density of neighboring vehicles. Through simulations, we found that our proposed method is effective for retaining spatio-temporal data.
 
キーワード
  vnet, van
 
記述言語
  English
 
 

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