CCSS: An Architecture for Joint Integration of Inter and Intrasession Network Coding in Lossy Wireless Multihop Networks

本研究的目的是提高具有不同处理能力的不同有损无线网络的容量和能源效率。提出的方法是协同和系统地结合无线网络中的两种类型的编码：内部和会话间网络编码。第一个通过对不同流的数据包进行编码来解决瓶颈，而第二个通过将相同流的数据包编码在一起来提供链路故障的鲁棒性。知识价值：这项研究有三大重点。第一部分研究了在不同设置下的有损无线网络中所提出的方法的特征和基本限制。这些设置包括单播和多播情况，多跳编码的使用，以及与其他流量工程技术一起使用编码。第二个要点涉及基于从表征中得出的见解的分布式网络协议的设计。所设计的协议保证与当前的Internet和计算机网络标准兼容。最后的重点是在不同的应用程序设置中部署提议的协议，并开发一个模拟器来捕获不同无线网络场景中协议的实际行为。更广泛的影响：这项研究有可能增加编码在无线网络中的作用，因为它将解决这些网络中编码的基本特征。研究成果将被整合到费城的社区网状网络中。制定的协议还将通过天普大学的项目影响更广泛的社区。

The objective of this research is to improve the capacity and energy efficiency of different lossy wireless networks with different processing capabilities. The proposed approach is to synergistically and systematically combine two types of coding in wireless networks: intra and intersession network coding. The first one resolves bottlenecks by coding the packets of different flows, while the second one provides robustness to the link failures by coding the packets of the same flow together.Intellectual merit: The research has three major thrusts. The first thrust investigates the characterization and the fundamental limits of the proposed approach in lossy wireless networks under different settings. The settings include the unicast and multicast cases, the use of coding over multihops, and the use of coding with other traffic engineering techniques. The second thrust involves the design of distributed network protocols based on the insights drawn from the characterization. The designed protocols are ensured to be compatible with the current Internet and computer network standards. The final thrust deals with deploying the proposed protocols in different application settings and developing a simulator that captures the actual behavior of the protocols in different wireless networking scenarios.Broader impacts: This research has the potential to increase the role of coding in wireless networks, as it will tackle the fundamental characterization of coding in these networks. Research results will be integrated into the community mesh network of the city of Philadelphia. The protocols developed will also impact the broader community through programs at Temple University.