NeTS: Small: Collaborative Research: Mobile Content Distribution in Vehicular Ad Hoc Networks

NeTS：小型：协作研究：车载自组织网络中的移动内容分发

• 批准号: 1262275
• 负责人: Kui Ren
• 金额: $ 17.99万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-13 至 2015-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1262275&HistoricalAwards=false
• 关键词: NeTS; Small; Collaborative; Research; Mobile

Mobile content distribution (MCD) is an important emerging application in vehicular ad hoc networks (VANETs). Its high and stable data rate requirement puts significant stress on the severely bandwidth-limited and highly mobile VANETs. Symbol level network coding (SLNC) provides better error-resilience and in turn higher spatial reusability for wireless transmission. It thus is a promising approach for the very bandwidth-hungry MCD networks. This project focuses on two main fundamental problems related to exploiting SLNC for MCD in VANETs. First, a theoretic study on the network capacity and performance bounds achievable by SLNC in mobile wireless networks is carried out. A new model is proposed to characterize the SLNC operation in a flow network setting. Key factors that impact the achievable throughput are identified. Methods to derive accumulated throughput for a mobile receiver following certain mobility pattern are investigated. The second research focus is on the design of distributed and localized algorithms and protocols for MCD networks using SLNC. A suite of new network protocols for SLNC-based MCD network are proposed in order to maximize the throughput of the MCD network.

移动的内容分发（MCD）是车载自组织网络（VANCITY）中一个重要的新兴应用。其高且稳定的数据速率要求对严重带宽受限和高度移动的VAN造成了显著的压力。符号级网络编码（SLNC）为无线传输提供了更好的容错能力和更高的空间可重用性。因此，对于带宽需求非常大的MCD网络来说，这是一种很有前途的方法。本项目重点研究了在瓦努阿图开发SLNC用于MCD的两个主要基本问题。首先，对移动的无线网络中SLNC可达到的网络容量和性能界限进行了理论研究。提出了一种新的模型来描述SLNC在流动网络中的运行。确定了影响可实现吞吐量的关键因素。研究了在特定移动模式下移动的接收机的累积吞吐量的计算方法。第二个研究重点是使用SLNC为MCD网络设计分布式和本地化的算法和协议。为了最大化MCD网络的吞吐量，提出了一套新的基于SLNC的MCD网络协议。