NEDG: Mechanisms for Efficient and Reliable Routing in Hybrid Wireless Networks

混合无线网络将自组织网络和基础设施网络相结合，提高了无线网络的吞吐量。尽管在过去的几年中，混合网络技术取得了巨大的进步，但很少有路由协议能够充分利用混合网络的双重特性。对于可靠路由，路由方案依赖信誉系统选择可信中继节点。然而，大多数传统的声誉系统都不够有效和高效。该项目致力于研究高效可靠的路由，通过协同利用自组织和基础设施网络的双重特性来增加混合无线网络的容量。该项目由四个部分组成：(1)分布式三跳路由机制（DTR）。DTR避免了以往路由方法中的基本问题；(2)集成全球信誉和客户管理系统（GRAM）。GRAM依赖于一个有效的全局声誉信息收集和查询的分层结构；(3)基于位置感知的p2p基础设施（LP2P）。创新构建LP2P并将其集成到混合网络中，实现DTR和GRAM的高效运行；(4)理论框架与分析。本文将建立一个理论框架来研究不同因素对所提出机制的影响，以及对网络容量和性能的影响。除了出版和软件发布渠道外，从这个项目中获得的理解和见解将通过技术转让向工业伙伴传播。该研究的多学科性质也有助于跨学科教育和学生的全面培训。

Hybrid wireless network combining ad-hoc network and infrastructure network increases the throughput capacity of wireless networks. In spite of the tremendous technological advances in hybrid networks over the last few years, few routing protocols have been provided particularly to fully exploit the dual-faceted nature of hybrid networks. For reliable routing, routing schemes depend on reputation system to choose trustworthy relay nodes. However, most traditional reputation systems are not sufficiently effective and efficient. This project is devoted to the research of highly efficient and reliable routing to increase the capacity of hybrid wireless networks by synergistically leveraging the dual-faceted nature of ad-hoc and infrastructure networks. The project has four components: (1) Distributed three-hop routing mechanism (DTR). DTR avoids the fundamental problems in the previous routing approaches; (2) Integrated global reputation and account management system (GRAM). GRAM relies on a hierarchical structure for efficient global reputation information collection and query; (3) Locality-aware P2P-based infrastructure (LP2P). LP2P is innovatively constructed and integrated into the hybrid network for efficient operation of DTR and GRAM; (4) Theoretical framework and analysis. A theoretical framework will be established to investigate the impact of different factors on the proposed mechanisms, and on the network capacity and performance. Understanding and insight gained as a result of this project will be disseminated through technology transfer to industry partners, in addition to publication and software release channels. The multi-disciplinary nature of this research also lends itself to cross-disciplinary education and well-rounded training of students.