Biology Inspired Autonomic Networking Protocols: Analysis and Implementation

受生物学启发的自主网络协议：分析和实现

• 批准号: 0726556
• 负责人: Chien-Chung Shen
• 金额: $ 11.71万
• 依托单位: University of Delaware
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-15 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0726556&HistoricalAwards=false
• 关键词: Biology; Inspired; Autonomic; Networking; Protocols

Advances in information technology have resulted in the emergence of new environments, such as mobile ad hoc networks, wireless sensor and actor networks, large-scale Grid and peer-to-peer networks, which inessence are constituted by networked autonomous nodes. Although these environments present enormous potential to facilitate new applications and services, they also pose difficult design challenges--these environments are intrinsically dynamic, unreliable, and large scale. Traditional design approaches that assume that the system is composed of reliable components, and/or that the system is of relatively small scale are not applicable in such environments. In addition, approaches that are based on central and/orexplicit control over the system as a whole either introduce a single point of failure or make the system not adaptable, which are not applicable in such environments either. It is therefore critical to explore new design paradigms and approaches that do not suffer from these defects.The phenomenon of self-organization is pervasive in nature, where biological organisms self-organize a large number of unreliable and dynamically changing components to develop diverse functions. In addition,these biological organisms possess the desirable properties of robustness to failure of individual components, adaptivity to changing conditions, and lack of explicit central coordination. This research seeks inspiration from the study of swarm behavior in nature, such as slime mold, to design and analyze robust, autonomic networking protocols for the aforementioned environments. This project aims to develop autonomic networking protocols based upon bottom-up modeling of simple, interacting units. The advantage to this approach is that one can reduce the dimensionality of the complex system to a small set of primitivefunctions and parameters governing the simple units that comprise the system. In particular, the investigators seek to model the behavior of slime mold physarum plasmodium to design autonomic networking protocols for wireless sensor and actor networks.

信息技术的进步导致了新环境的出现，例如移动自组织网络、无线传感器和参与者网络、大规模网格和对等网络，这些网络本质上都是由联网的自治节点构成的。尽管这些环境在促进新应用程序和服务方面展现出巨大的潜力，但它们也带来了困难的设计挑战——这些环境本质上是动态的、不可靠的和大规模的。 假设系统由可靠的组件组成和/或系统规模相对较小的传统设计方法不适用于此类环境。此外，基于对整个系统的中央和/或显式控制的方法要么引入单点故障，要么使系统不具有适应性，这在此类环境中也不适用。 因此，探索不受这些缺陷影响的新设计范式和方法至关重要。自组织现象在自然界中普遍存在，生物有机体自组织大量不可靠且动态变化的组件来开发多样化的功能。此外，这些生物有机体具有对单个组件故障的稳健性、对不断变化的条件的适应性以及缺乏明确的中央协调的理想特性。 这项研究从自然界中的群体行为（例如粘菌）的研究中寻求灵感，为上述环境设计和分析稳健的自主网络协议。该项目旨在开发基于简单交互单元自下而上建模的自主网络协议。这种方法的优点是可以将复杂系统的维数减少到一小组控制组成系统的简单单元的原始函数和参数。特别是，研究人员试图对粘菌绒胞菌的行为进行建模，以设计无线传感器和参与者网络的自主网络协议。