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Autonomous Data Transmission Control Based on Node Density for Multiple Spatio-Temporal Data Retention

机译:基于节点密度的多时空数据保留自主数据传输控制

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Although countless services can now be accessed via the Internet, some specific services such as local traffic conditions and limited-time sale advertisements are strongly dependent on geographical locations and times. Information of this type, which is commonly referred to as spatio-temporal data (STD), is not readily available online. Since the paradigm of local production and consumption of STDs can be effective for location-dependent applications, we previously proposed an STD data retention system that uses vehicular networks to create a mobile cloud. Unfortunately, effective data retention is difficult when multiple STDs exist in the same area because channel interference will result from the increased number of data transmissions. To resolve this issue, we herein propose an autonomous data transmission control method based on node density for multiple STD retention that facilitates a highly reliable coverage rate while limiting the individual data transmissions for each STD. Then, through simulations, we show that our proposed method is effective for simultaneously retaining multiple STDs.
机译:尽管现在可以通过Internet访问无数服务,但是某些特定服务(例如本地交通状况和限时销售广告)在很大程度上取决于地理位置和时间。这类信息通常称为时空数据(STD),目前尚无法在线获得。由于本地STD的生产和消费范例对于依赖于位置的应用程序可能是有效的,因此我们先前提出了一种STD数据保留系统,该系统使用车载网络创建移动云。不幸的是,当在同一区域中存在多个STD时,有效的数据保留是困难的,因为信道干扰将由数据传输数量的增加引起。为了解决这个问题,我们在本文中提出了一种基于节点密度的自主数据传输控制方法,用于多个STD保留,该方法有助于实现高度可靠的覆盖率,同时限制每个STD的单独数据传输。然后,通过仿真,我们证明了我们提出的方法对于同时保留多个STD是有效的。

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