Application of Network Coding in Emerging Communication Networks

网络编码在新兴通信网络中的应用

• 批准号: RGPIN-2015-06459
• 负责人: Lambadaris, Ioannis
• 金额: $ 1.6万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=614165
• 关键词: Application; Network; Coding; Emerging; Communication

Linear network coding is a recent technique developed for improved network information transmission. From a general perspective, data packets originating from various sources and destined to different receivers are not transmitted on a packet by packet basis; instead multiple linear combinations of groups of packets are generated and sent. Typically, such linear combinations (encoded packets) involve multiplication with random coefficients and are implemented by intermediate nodes that act as forwarding relays between the sources and destinations. A receiver that correctly acquires a necessary number of linearly independent packet combinations is able to decode and keep the packets that were destined to it. Current research has shown that network coding may lead to improved network performance by means of increased data throughput and resilience to network attacks. However, network coding does lead to increased computational stress on network elements (an issue that can be resolved using modern powerful processors) as well as increased network complexity and scalability issues.  Until recently there has been a clean separation between networks and the applications that use them. Applications produce packets that are sent over a simple socket API; the network delivers them. However, there are many occasions when applications can benefit from more direct interaction with the network; e.g., to observe more of the current network state and to obtain more control over the network behavior. Software Defined Networking (SDN) defines a network architecture that can provide access/programmability to the network control plane and thus enable the implementation of network coding.   The proposed research will concentrate on application of network coding in the following areas: a) broadcasting /multicasting information in wireless networks (with unreliable links) as well as in Software Defined Networks (SDN) and b) integration of network coding and compressive sensing in large wireless sensor networks (WSN). The focus of the research will be primarily on the networking performance; characterization of network stability, optimal stochastic control for optimizing certain performance measures (related to network throughput and delay) and comparison of performances between data systems using network coding versus traditional techniques used in existing networks. I will not focus on the development of optimized network codes (will assume simple random linear coding). Despite the warm reception network coding has received in the research community recently, it has not been adopted at the industrial product development stage. Therefore, it is an excellent research area with promising practical implementations and expected deployment in the near future. I strongly believe that it is not only an excellent area for HQP training but also is of particular importance to the Canadian economy.

线性网络编码是最近开发的用于改进网络信息传输的技术。从一般的角度来看，源自各种源并且去往不同接收器的数据分组不是在逐个分组的基础上传输的;而是生成并发送分组组的多个线性组合。通常，这种线性组合（编码分组）涉及与随机系数相乘，并且由充当源和目的地之间的转发中继的中间节点来实现。一个接收器，正确地获得了必要数量的线性独立的数据包组合是能够解码和保持的数据包，注定it. Current的研究表明，网络编码可能会导致通过增加数据吞吐量和网络攻击的弹性，以提高网络性能。然而，网络编码确实会导致网络元素上的计算压力增加（使用现代强大的处理器可以解决这个问题）以及网络复杂性和可扩展性问题增加。 直到最近，网络和使用它们的应用程序之间一直存在着明确的分离。应用程序生成通过简单套接字API发送的数据包;网络传递它们。然而，在很多情况下，应用程序可以从与网络的更直接交互中受益;例如，以观察更多的当前网络状态并获得对网络行为的更多控制。软件定义网络（SDN）定义了一种网络架构，其可以提供对网络控制平面的访问/可编程性，从而实现网络编码。  本论文主要研究网络编码在以下几个方面的应用：a）无线网络（链路不可靠）和软件定义网络（SDN）中的广播/组播信息; B）大型无线传感器网络（WSN）中网络编码和压缩感知的集成。研究的重点将主要放在网络性能;网络稳定性的表征，优化某些性能指标（与网络吞吐量和延迟有关）的最优随机控制，以及使用网络编码与现有网络中使用的传统技术的数据系统之间的性能比较。我将不会专注于优化网络代码的开发（将假设简单的随机线性编码）。 尽管网络编码最近在研究界受到热烈欢迎，但它尚未在工业产品开发阶段被采用。因此，它是一个很好的研究领域，具有很好的实际应用前景，并有望在不久的将来部署。我坚信这不仅是HQP培训的一个很好的领域，而且对加拿大经济特别重要。