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

EMT：协作研究：灵长类启发的异质移动和静态传感器网络虽然以前的生物启发模型主要针对无脊椎动物(如蚂蚁)，但具有较高认知功能的哺乳动物(如灵长类)对于模拟工程中日益复杂的问题是有价值的。了解灵长类动物吗？这项研究涉及对铜质猕猴、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应用到异质移动和静态传感器网络的分布式控制中。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中的问题提供生物学灵感。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)基于异质移动和静态传感器网络中灵长类分组模型的小群体和大群体编队的有效性评估；3)基于生物启发的消息通信的发展；以及4)基于生物启发行为的通信的发展。这项研究旨在通过对灵长类动物的研究，更深入地了解生物启发的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的研究和教育。

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.