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

混合无线网络结合了自组织网络和基础设施网络，提高了无线网络的吞吐能力。尽管混合网络在过去几年中取得了巨大的技术进步，但特别是为了充分利用混合网络的双面性而提供的路由协议很少。对于可靠的路由，路由方案依赖于信誉系统来选择可信赖的中继节点。然而，大多数传统的声誉体系并不够有效和高效。该项目致力于研究高效可靠的路由，通过协同利用自组织网络和基础设施网络的双面性来增加混合无线网络的容量。该项目包括四个部分：(1)分布式三跳路由机制。DTR避免了以前的路由方法中的基本问题；(2)集成的全球信誉和帐户管理系统(GRAM)。GRAM依靠分层结构进行高效的全球信誉信息收集和查询；(3)基于位置感知的P2P基础设施(LP2P)。创新地构建了LP2P，并将其集成到混合网络中，以实现DTR和GRAM的高效运行；(4)理论框架和分析。将建立一个理论框架来研究不同因素对所提出的机制的影响，以及对网络容量和性能的影响。除出版和软件发布渠道外，还将通过技术转让向行业合作伙伴传播通过该项目获得的理解和洞察力。这项研究的多学科性质也有助于跨学科教育和学生的全面培养。

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.