دانلود مقاله ISI انگلیسی شماره 70272
ترجمه فارسی عنوان مقاله

برنامه نویسی شبکه کارآمد فضا-زمان برای شبکه های multi-hop بی سیم

عنوان انگلیسی
Space–time efficient network coding for wireless multi-hop networks
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
70272 2016 13 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Computer Communications, Volume 73, Part A, 1 January 2016, Pages 144–156

ترجمه کلمات کلیدی
برنامه نویسی شبکه Inter-flow ؛ استفاده مجدد فضایی؛ کنترل قدرت
کلمات کلیدی انگلیسی
Inter-flow network coding; Spatial reuse; Power control
پیش نمایش مقاله
پیش نمایش مقاله  برنامه نویسی شبکه کارآمد فضا-زمان برای شبکه های multi-hop بی سیم

چکیده انگلیسی

Network coding has been recently proposed as a new promising technique that can potentially improve the performance of a wireless multi-hop network significantly. However, most existing studies in this field perform network coding without considering the interplay between transmission power/rate and network coding gain. In many scenarios, the selection of the transmission power/rate brings big impact on network coding gain and consequently network throughput because they have big impact on both reception/overhearing probability and spatial reuse. Therefore, how to improve network throughput by appropriately exploiting the interplay between transmission power, data rate, and network coding gain via localized network operations has been a crucial issue in a multi-hop wireless network. That is, how to achieve a good trade-off between the space–time network resource usage (represented by level of spatial reuse and transmission time) and the network coding gain? To address this problem, in this paper, we propose a decentralized network coding aware power/rate control mechanism, which can enable each node to adjust its transmission power and data rate such that the space–time resource usage is optimized. Extensive simulation results show that the proposed mechanism yields higher performance in network throughput as compared with existing mechanisms.