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

急救医生：合作研究：虽然以前的生物启发模型主要集中在无脊椎动物（如蚂蚁），但具有较高认知功能的哺乳动物（如灵长类动物）对于建模日益复杂的工程问题很有价值。了解灵长类动物？社会和通信系统，并将从他们那里学到的东西应用到工程领域，可能会激发许多问题的解决方案。本研究涉及研究和建模的群体行为和通信模式的coppertiti猴，恒河猴，和其他灵长类动物模型，并将研究人员学到的分布式控制的异构移动的和静态传感器网络。研究人员将模拟这些灵长类动物的社交和沟通行为，这将为解决沟通和网络问题提供生物学灵感。本研究的阶段包括：1）识别，解释和翻译的灵长类动物的行为模型，2）在异构移动的和静态的传感器网络中的灵长类动物分组模型的基础上，小和大的群体形成的有效性评估，3）生物启发的基于消息的通信的发展，和4）生物启发的基于行为的通信的发展。本研究旨在通过研究灵长类动物，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.