Collaborative Research: NEDG: Exploring Data Access in Internet-based Wireless Mobile Networks

无线网络作为无处不在的通信基础设施的最后一英里解决方案越来越受欢迎。这一趋势与用户的结合呢？人们对无线访问互联网海量资源的兴趣与日俱增，成本不断下降，这推动了混合无线网络体系结构的发展，如基于互联网的移动自组织网络(IMANET)和基于互联网的车载自组织网络(IVANET)。然而，它带来了存储空间有限、由于移动性而频繁断开连接以及通信链路不可靠等方面的严峻挑战。在本地存储中缓存频繁访问的数据被证明是一种有效的技术，不仅可以减轻网络负担，还可以在存在此类挑战的情况下提高数据的可访问性和可用性。该项目的具体目标是开发算法和通信协议，以便在基于互联网的无线移动网络中实现高效和正确的数据缓存。本项目研究IMANET的缓存管理和失效策略，以及IVANET的缓存失效和一致性策略。该项目将在理解和设计基于互联网的无线移动网络的高效数据缓存方案方面取得重大进展。该项目的成功将对基于互联网的无线移动网络教育和相应的行业产生更广泛的影响，并为本科生和研究生提供多样化的研究机会。本研究中开发的算法和技术将与教育课程相结合

Wireless networks are increasingly popular as the last-mile solution for a ubiquitous communication infrastructure. This trend in combination with the users? growing interest and falling cost in accessing vast amount of resources in Internet wirelessly has driven the developments of hybrid wireless network architecture such as Internet-based mobile ad hoc networks (IMANETs) and Internet-based vehicular ad hoc networks (IVANETs). However, it brings critical challenges in terms of limited storage space, frequent disconnections due to mobility, as well as unreliability of communication links. Caching a frequently accessed data in a local storage is shown to be an effective technique not only to relieve the network but also to improve data accessibility and availability in the presence of such challenges. The specific goal of this project is to develop algorithms and communication protocols that allow efficient and correct data caching in Internet-based wireless mobile networks. This project investigates cache management and invalidation strategies for IMANETs, and cache invalidation and consistency strategies for IVANETs. The project will make significant advances in understanding and designing an efficient data caching schemes for Internet-based wireless mobile networks. The success of this project will have a much broader impact on Internet-based wireless mobile network education and the corresponding industry, and provide versatile research opportunities to both undergraduate and graduate students. The algorithms and techniques developed in this research will be integrated with the education curricula