CAREER: A Unified Study of Resilience-to-Failure in Multihop Wireless Networks

职业：多跳无线网络故障恢复能力的统一研究

• 批准号: 0546289
• 负责人: Wenye Wang
• 金额: $ 40万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-03-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0546289&HistoricalAwards=false
• 关键词: CAREER; Unified; Study; Resilience; Failure

Multihop wireless networks can offer a wide variety of important applications that could have a substantial impact throughout society as mobile devices become more and more critical to our day-to-day lives. However, the infrastructure of such networks is vulnerable to many types of network dynamics such as node mobility, potential attacks, and misbehavior. This research aims to develop models and algorithms for a deeper understanding of multihop networks when multiple failures are present. Specifically, this project includes three thrusts under the theme of resilience-to-failure: (1) the design, modeling, and analysis of the impact of multiple failures based on the Semi-Markov Process; (2) the design, evaluation, and implementation of a new mechanism in order to minimize the impact of neighboring node failures; (3) the study of distributed optimization algorithms for hierarchy and cluster formation. The expected results, such as models of node behavior and failures, along with techniques for topology discovery and topology optimization, promise significant scientific impact by presenting a theoretical framework for the design and implementation of network algorithms. The societal impact of this research lies in the wide deployment of portable devices for which communication failures may affect human welfare. Resilience-to-failure, as one of the areas that integrate multi-disciplinary characteristics, is used to initiate innovative curriculum and to advance the integration of research and education. In addition to traditional publications, informative and instructional materials will be developed and posted on the web in a timely manner for fast dissemination of results and education in the developed techniques.

随着移动的设备在我们的日常生活中变得越来越重要，多跳无线网络可以提供各种各样的重要应用，这些应用可能对整个社会产生重大影响。然而，这种网络的基础设施容易受到许多类型的网络动态，如节点移动性，潜在的攻击和不当行为。本研究旨在开发模型和算法，以便更深入地了解存在多个故障时的多跳网络。具体而言，本项目包括三个重点的主题下的容错：（1）设计，建模，并基于半马尔可夫过程的多个故障的影响进行分析;（2）设计，评估，并实现一个新的机制，以尽量减少相邻节点故障的影响;（3）研究分布式优化算法的层次结构和集群的形成。预期的结果，如模型的节点行为和故障，沿着技术的拓扑发现和拓扑优化，承诺显着的科学影响，提出了一个理论框架的设计和实施的网络算法。这项研究的社会影响在于便携式设备的广泛部署，通信故障可能会影响人类福利。失败复原力作为一个融合多学科特点的领域，被用来倡导课程创新，促进研究与教育的整合。除了传统的出版物外，还将编制信息和教学材料，并及时在网上公布，以便迅速传播成果和开展先进技术方面的教育。