EAGER: Self-Organization Based Control for New Generation Networks

现有的自组织(SO)网络生物启发算法(BIA)方法缺乏理论基础和分析。这项工作开发了一个框架来描述BIA在网络控制中可以解决的问题类型。首先，建立了BIA网络控制理论。在这里，PI：a)广泛回顾已应用于解决控制理论问题的偏差的文献，并开发方法的分类；b)对网络控制中的常见问题和这些问题的复杂性进行分类；c)分析论证这些偏差在解决各种网络控制问题中的潜力；以及d)正式描述用于无线网络控制的BIA。其次，分析了基于BIA的网络中各层之间的相互作用。PI对基于BIA的网络中各层之间的相互作用进行分析。这包括a)分析基于分层SO的控制之间的相互作用，以及b)建立分层体系结构的基本理论。第三，对无线网络中基于BIA的控制进行了分析。在这里，PI对无线网络上基于BIA的控制进行分析，以a)确定基于BIA的控制在实际系统上的实现问题，以及b)通过仿真和试验台实现对基于BIA的控制进行实际评估和分析。这项工作具有重要意义，因为它提供了BIA的框架，并为其他人评估无线应用以外的新方法提供了一种手段。这项工作的结果将在会议和期刊出版物上以及通过网络来源公布。

Existing Biologically Inspired Algorithm (BIA) approaches to Self-Organized (SO) networks lack a theoretical foundation and analysis. This work develops a framework to describe the types of problems that BIA can address in network control. First, this work establishes a theory of BIA network control. Here the PIs: a) broadly review the literature for BIAs that have been applied to solving control theory problems and develop a categorization of the methods; b) categorize the common problems in network control and the complexity of these problems; c) analytically demonstrate the potential of these BIAs in solving various network control problems; and d) formally describe BIA for control of wireless networks. Second, this work analyzes mutual interaction among layers in a BIA-based network. The PIs carry out an analysis of mutual interaction among layers in BIA-based networks. This includes a) analysis of interaction among layered SO-based control and b) establishment of a fundamental theory of layered architecture. Third, this work analyzes BIA-based control in wireless networks. Here the PIs conduct analyses of BIA-based control on wireless networks, to a) determine implementation issues of BIA-based control on real systems and b) perform a practical evaluation and analysis of BIA-based control through simulation and testbed implementation. This work is significant in that it provides a framing of BIA and provides a means for others to assess new approaches beyond wireless applications. The results of this work will be made available in conference and journal publications and through web sources.