EMT/BSSE: Collaborative Research: Primate-based Heterogeneous Mobile and Static Sensor Networks

EMT/BSSE：合作研究：基于灵长类动物的异构移动和静态传感器网络

• 批准号: 0829828
• 负责人: Karen Bales
• 金额: $ 12万
• 依托单位: University of California-Davis
• 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 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0829828&HistoricalAwards=false
• 关键词: EMT; BSSE; Collaborative; Research; Primate

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质移动和静态传感器网络尽管以前的生物启发的模型集中在无脊椎动物（例如蚂蚁）上，但诸如具有较高认知功能的哺乳动物（例如具有较高认知功能）的哺乳动物对于建模工程中日益复杂的问题是有价值的。了解灵长类动物？社会和沟通系统，并将从他们学到的知识应用于工程领域可能会激发解决许多问题的解决方案。这项研究涉及研究和建模群体行为的模式以及铜质Titi Monkeys，Rhesus Macaques和其他灵长类动物模型的沟通，并运用研究人员将研究人员学习到异性移动传感器网络的分布控制。研究人员将对这些灵长类动物的社会和沟通行为进行建模，这将为解决沟通和网络中的问题提供生物学灵感。这项研究的阶段包括：1）灵长类动物行为模型的识别，解释和翻译，2）评估基于灵长类动物的移动和静态传感器网络中灵长类和静态传感器网络中的大小团体形成的有效性，3）基于生物启发的消息的发展，以及基于生物启发的消息的交流，4）基于行为行为的交流的发展。这项研究旨在通过研究灵长类动物，并在生物建模，传感器网络和机器人控制领域建立跨学科的研究和教育来深入了解生物启发的通信和网络的有效性。