IHCS: A Stochastic Framework for Robust Wireless Networking

这项研究的目标是随机建模无线网络并开发集成的最优解决方案，以最大限度地提高社交网络效用，同时确保针对自然灾害或恶意攻击造成的中断的生存能力。该方法植根于凸优化和分布式优化，需要对可能相关的故障和流量模式的变化进行建模，描述相关的性能指标，并开发在吞吐量和健壮性方面稳定的协议。在智能方面，该项目研究了一个框架，用于联合调度、路由和控制通过无线节点的信息流，同时保证网络对大规模服务中断的生存性。随机模型与故障的随机性相匹配，并适用于最优准则和计算上可承受的协议。研究了各种应用和关键问题，包括服务质量、公平性、中继性、健壮性、在线、分布式实现和敏感度。从更广泛的影响来看，该主题与IEEE 802.11系列无线局域网标准的演变和移动自组网中的新兴举措直接相关。融合健壮性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。通过开展实验和尝试，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，以增强研究生课程的内容。与政府和工业部门的接触是通过实验室的短期课程、研讨会和会议的教程以及学生-教职员工合作在明尼苏达大学校园内开展拟议协议的实地试验来实现的。

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.