EMT: Collaborative Research: Primate-inspired Heterogeneous Mobile and Static Sensor Networks

EMT：协作研究：受灵长类动物启发的异构移动和静态传感器网络

• 批准号: 0829827
• 负责人: Yang Xiao
• 金额: $ 48万
• 依托单位: University of Alabama Tuscaloosa
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0829827&HistoricalAwards=false
• 关键词: EMT; Collaborative; Research; Primate; inspired

EMT: Collaborative Research: Primate-inspired Heterogeneous Mobile and Static Sensor Networks Although previous bio-inspired models have concentrated on invertebrates (such as ants), mammals such as primates with higher cognitive function are valuable for modeling the increasingly complex problems in engineering. Understanding primates? social and communication systems, and applying what is learned from them to engineering domains is likely to inspire solutions to a number of problems.This research involves studying and modeling modes of group behavior and communication of coppery titi monkeys, rhesus macaques, and other primate models, and applying what the investigators learn to the distributed control of heterogeneous mobile and static sensor networks. The investigators will model the social and communication behavior of these primates, which will provide biological inspiration for solving problems in communication and networking. The phases of this research include: 1) identification, interpretation, and translation of primate behavioral models, 2) assessment of the effectiveness of small and large group formations based on primate grouping models in heterogeneous mobile and static sensor networks, 3) development of bio-inspired message-based communications, and 4) development of bio-inspired behavior-based communications. This research aims to achieve a deeper understanding of effectiveness of bio-inspired communications and networking by studying primates, and to establish interdisciplinary research and education in the fields of biological modeling, sensor networking, and robots control.

EMT：协作研究：灵长类动物启发的异构移动和静态传感器网络虽然以前的生物启发模型主要集中在无脊椎动物（例如蚂蚁）上，但具有较高认知功能的哺乳动物（例如灵长类动物）对于模拟日益复杂的工程问题非常有价值。了解灵长类动物？社交和通信系统，并将从中学到的知识应用到工程领域可能会激发许多问题的解决方案。这项研究涉及铜蒂蒂猴、恒河猴和其他灵长类动物模型的群体行为和通信模式的研究和建模，并将研究人员所学到的知识应用于异构移动和静态传感器网络的分布式控制。研究人员将对这些灵长类动物的社交和交流行为进行建模，这将为解决交流和网络问题提供生物学启发。这项研究的阶段包括：1）灵长类行为模型的识别、解释和翻译，2）基于异构移动和静态传感器网络中灵长类分组模型评估小型和大型群体形成的有效性，3）生物技术的开发-受启发的基于消息的通信，以及4）开发受生物启发的基于行为的通信。这项研究旨在通过研究灵长类动物，更深入地了解仿生通信和网络的有效性，并在生物建模、传感器网络和机器人控制领域建立跨学科研究和教育。