IHCS: A Stochastic Framework for Robust Wireless Networking

本研究的目的是随机建模无线网络，并开发集成的最佳解决方案，最大限度地提高社会网络的效用，同时保证对自然灾害或恶意攻击造成的中断的生存能力。 该方法植根于凸和分布式优化，需要对可能相关的故障和流量模式变化进行建模，表征相关的性能指标，并开发在吞吐量和鲁棒性方面稳定的协议。通过无线节点的信息流的路由和控制，同时保证针对大规模服务中断的网络生存能力。 随机模型匹配故障的随机性，并适合于最优性标准和计算负担得起的协议。 各种应用程序和关键问题进行了研究，包括服务质量，公平性，中继，鲁棒性，在线，分布式实现和sensitivity.With更广泛的影响，主题是直接相关的IEEE 802.11系列无线局域网标准和新兴举措的演变在移动的ad hoc网络。 鲁棒性的引入在未来的无线网络中具有重要的潜在社会和经济影响，特别是在生存性至关重要的无线传感器网络中。 通过实验和试验的发展，本研究为学生提供了有意义的经验，并整合了所获得的专业知识，以提高研究生课程的内容。 通过实验室短期课程，研讨会和会议教程以及学生-教师-工作人员合作来完成对政府和工业部门的推广，以在明尼苏达大学校园内开展拟议协议的现场试验。

The objective of this research is to stochastically model wireless networks and develop integrated optimal solutions that maximize social network utilities while guaranteeing survivability against disruptions caused by natural disasters or malicious attacks. The approach is rooted in convex and distributed optimization and entails modeling of possibly correlated failures and changes in traffic patterns, characterization of pertinent performance metrics, and development of protocols that are stable with respect to throughput and robust.With respect to intellectual merit, the project investigates a framework for joint scheduling, routing and control of information flows through wireless nodes while guaranteeing network survivability against large-scale service disruptions. The stochastic model matches the randomness of failures and lends itself to optimality criteria and computationally affordable protocols. Various applications and critical issues are studied, including quality of service, fairness, relaying, robustness, on-line, distributed implementation and sensitivity.With respect to broader impact, the theme is directly relevant to the evolution of the IEEE 802.11 family of wireless local area network standards and emerging initiatives in mobile ad hoc networks. Incorporation of robustness has important potential societal and economic impact in future wireless networks, especially in wireless sensor networks where survivability is critical. Through the development of experiments and trials, this research provides meaningful experiences to students and integration of the expertise gained to enhance the content of graduate classes. Outreach to government and industrial sectors is accomplished through short courses in laboratories, tutorials in workshops and conferences, and student-faculty-staff collaboration to develop field trials of the proposed protocols on the University of Minnesota campus.