Fault-Tolerant Cooperative Communication in Large-Scale Wireless Networks

摘要：大规模无线网络中的容错协作通信本研究的目的是开发一种全新的协作通信体系结构，该体系结构具有固有的自扩展性，在存在传输错误和恶意攻击的情况下具有鲁棒性，并且在具有噪声信道的大规模无线网络中允许分散的网络运行，并且具有拓扑变化的灵活性。该方法是将前一跳的校验与下一跳的校验连接起来，使纠错能力以乘法的方式随着跳数的增加而增长，随机生成独立于其他中继节点的校验，并利用跨层设计的节点合作来获得超越传统的单个节点内跨层合作的互利。关于智力方面的优点，这项工作考虑了实用的协作通信方法，以促进在嘈杂的大规模无线网络中高效和安全的数据传输。由于分析方面的挑战，该领域的许多先前研究都局限于小规模网络的容量界限。因此，现有的知识体系在提供协作通信的好处、提供错误概率结果和考虑大规模网络的复杂性方面是有限的。本研究试图解决这一限制。就更广泛的影响而言，该研究有可能改善许多类型无线网络的设计和运行，包括嵌入式网络、无线传感器网络、自组织网络、网状网络和蜂窝网络。这些网络具有广泛的应用，包括监测、健康和环境监测、公共安全和应急响应。研究成果与本科和研究生教育相结合。研究成果还将用于当地高中生的示范项目，目的是扩大工程学的参与。

AbstractSang Wu KimIowa State UniversityFault-Tolerant Cooperative Communication in Large-Scale Wireless NetworksThe objective of this research is to develop a fundamentally new cooperative communication architecture that is inherently self-scalable, robust in the presence of transmission errors and malicious attacks, and allows decentralized network operation with flexibility for topology changes in large-scale wireless networks with noisy channels. The approach is to concatenate the parities of previous hops with those of the next hop such that the error correction capability grows with the number of hops in a multiplicative manner, generate parities randomly independent of other relay nodes, and exploit node cooperation using cross-layer design to obtain mutual benefits beyond those of traditional cross-layer cooperation within individual nodes.With respect to intellectual merit, this work considers practical cooperative communication methodologies that promote efficient and secure data transmission in noisy, large-scale wireless networks. Because of analytical challenges, much of the prior research in this area has been limited to capacity bounds for small-scale networks. Thus, the existing body of knowledge is limited with respect to delivering the benefits of cooperative communication, providing error probability results, and accounting for the complexity of large-scale networks. This research attempts to address this limit.With respect to broader impacts, the research has the potential to improve the design and operation of many types of wireless networks, including embedded networks, wireless sensor networks, ad-hoc networks, mesh networks, and cellular networks. These networks have a wide range of applications, including surveillance, health and environmental monitoring, public safety, and emergency response. Research outcomes are integrated with undergraduate and graduate education. Research outcomes will also be used in a demonstration program for local high school students with the goal of broadening participation in engineering.