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 .

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 信息的交流，而不仅仅是它的存在，是当今信息时代的关键。网络基础设施必须灵活地分配资源，并适应不断变化的环境。为了提供一致的服务级别，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使算法设计进一步复杂化。进入新环境的移动网络智能地定位自己，以提供高效的通信主干。这种布局不能是静态的，必须在共享信息的同时不断演变。我们建议使用灵长类动物作为一个适应性强、灵活的合作系统的生物学基础。灵长类动物生活在稳定的、有时是终生的群落中，但会形成有组织的特别亚群。以群体形式完成的狩猎和觅食任务提供了更好的复盖面，增加了成功率。此外，群体通过队形、最佳距离以及通过发声和观察进行交流来提供安全。 根据这项建议开展的活动包括： 1)研究狩猎和觅食任务中的小组组成和任务分配 2)建立适应内外部因素的模型 3)通过仿真和实验将模型整合到移动网络中 4)通过智能网络监控应用的实施，验证模型的有效性。 我们预计这项活动将产生以下好处： 1)狩猎和觅食过程中灵长类动物的合作模式 2)适应不断变化的环境和资源变化的新沟通模式。 3)新颖的自组织算法，在侦察、监视等覆盖活动中赋予任务适当的结构。