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ATPOO: An adaptive transmitting platform for supporting on-time and at-one-time data delivering over opportunistic networks

机译:ATPOO:一种自适应传输平台,用于支持通过机会网络进行的按时和一次数据传输

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摘要

The link performance is highly unpredictable and the connections are broken frequently in opportunistic networks (Oppnets). The transmission control protocol will perform badly in Oppnets because the end-to-end connection always needs to be reconstructed and data need to be retransmitted from the original sender again through the reconstructed connection. To solve this problem, the study investigates the principles of on-time and at-one-time delivery, in which `on-time?? means to transmit data to the receiver during a pre-scheduled time period and `at-one-time?? means to transmit each piece of data from the sender just once. Based on the principles, the designed adaptive transmitting platform (ATPOO) supports the on-time and at-one-time delivering capacities in Oppnets. In ATPOO, the authors separate the transmitting process into macro- and microstages. The macro-stage deals with the end-to-end transmission quality of service; the micro-stage focuses on the transmission between adjacent nodes along with the pre-constructed delivering path. The proposed ATPOO based on the delay-tolerant network (DTN) has been implemented in this study. The experimental results show that the designed ATPOO performs the highest successful delivery ratio of 97% over complex and unpredictable network environments while the ratios of best effort, S-FTP and DTN methods are 81, 76 and 89%, respectively.
机译:链接性能非常不可预测,并且在机会网络(Oppnet)中连接经常断开。传输控制协议在Oppnet中将表现不佳,因为始终需要重新构建端到端连接,并且需要通过重新构建的连接再次从原始发送方重新发送数据。为了解决这个问题,本研究调查了按时交付和按时交付的原则,其中“按时交付”指在预定时间段和“一次”将数据发送到接收器的装置意味着仅一次发送来自发送方的每条数据。基于这些原理,设计的自适应传输平台(ATPOO)支持Oppnets的按时和一次性交付能力。在ATPOO中,作者将传输过程分为宏观阶段和微观阶段。宏阶段处理端到端传输服务质量;微型阶段着眼于相邻节点之间的传输以及预先构建的传递路径。在这项研究中已实现了基于延迟容忍网络(DTN)的拟议ATPOO。实验结果表明,所设计的ATPOO在复杂和不可预测的网络环境中的成功交付率最高,达到97%,而尽力而为,S-FTP和DTN方法的成功率分别为81%,76%和89%。

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  • 来源
    《Communications, IET》 |2012年第2期|p.203-210|共8页
  • 作者单位

    Department of Software Engineering, National Kaohsiung Normal University, Kaohsiung, Taiwan;

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