EMT/NSSE COLLAB RES: PRIMATE-BASED HETEROGENEOUS MOBILE & STATIC SENSOR NETWKS

EMT/NSSE 协作实验室研究：基于灵长类动物的异质移动

• 批准号: 8172605
• 负责人: YANG XIAO
• 金额: $ 11.41万
• 依托单位: UNIVERSITY OF CALIFORNIA AT DAVIS
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-06-01 至 2011-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8172605
• 关键词: Age; Algorithms; Biological; Communication; Communities; Computer Retrieval of Information on Scientific Projects Database; Environment; Funding; Grant; Institution; Life; Modeling; Positioning Attribute; Primates; Research; Research Infrastructure; Research Personnel; Resource Allocation; Resources; Safety; Services; Source; Structure; System; United States National Institutes of Health; Vertebral column; base; design; flexibility; novel; self organization; sensor; simulation; success; surveillance network; trafficking; vocalization

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Communication of information, not just its mere existence, is the key to the current information age. Network infrastructure must be agile in resource allocation and adapt to changing circumstances. To provide consistent levels of service, the nodes must handle changes in network traffic, available network resources and external factors. Mobile networks further complicate algorithm design through position changes. Mobile networks, moving into a new environment, intelligently position themselves to provide an efficient communications backbone. This placement can't be static but must constantly evolve while sharing information. We propose using primates as the biological basis for an adaptable, flexible cooperative system . Primates live in stable, sometimes life-long communities but form structured ad hoc sub-groups. Hunting and foraging tasks accomplished as groups provide better coverage increasing success. In addition , groups provide safety via formation , optimal distancing and communication via vocalization and observation. The activities under this proposal include: 1 ) Study group formation and task assignment during hunting and foraging tasks 2) Build models of adaptation to internal and external factors 3) Incorporate models into mobile networks via simulation and experimentation 4) Validate model usefulness through implementation of intelligent network surveillance application. We expect that this activity will yield the following benefits: 1) Models for primate cooperation during hunting and foraging 2) New models for communication that adapt to changing environments and changes in resources. 3) Novel self-organization algorithms that impose task appropriate structure on coverage activities such as reconnaissance and surveillance .

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 信息的通信，不仅是其仅存在，是当前信息时代的关键。网络基础架构必须在资源分配中敏捷并适应不断变化的情况。为了提供一致的服务水平，节点必须处理网络流量，可用网络资源和外部因素的变化。移动网络通过位置变化进一步使算法设计复杂化。移动网络进入新环境，智能地定位自己以提供有效的通信骨干。此放置不能是静态的，但是在共享信息时必须不断发展。我们建议将灵长类动物作为适应性，灵活合作系统的生物学基础。灵长类动物生活在稳定的，有时是终身的社区中，但形成了结构化的临时子群体。作为小组的狩猎和觅食任务提供了更好的覆盖范围，从而增加了成功。此外，小组通过形成，通过发声和观察来提供安全性，最佳距离和交流。 该提案中的活动包括： 1）研究小组的形成和狩猎和觅食任务期间的任务分配 2）建立适应内部和外部因素的模型 3）通过模拟和实验将模型纳入移动网络 4）通过实施智能网络监视应用程序来验证模型有用性。 我们预计这项活动将带来以下好处： 1）在狩猎和觅食期间的灵长类动物合作模型 2）通信的新模型，可适应不断变化的环境和资源的变化。 3）新型的自组织算法，这些算法将适当的任务结构强加于侦察和监视等覆盖活动。