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NeTS-NOSS: Tenet: An Architecture for Tiered Embedded Networks

NeTS-NOSS: Tenet: An Architecture for Tiered Embedded Networks
NeTS-NOSS:宗旨:分层嵌入式网络架构
批准号:
0520235
负责人:
Ramesh Govindan
金额:
$90.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-09-01 至 2011-08-31

项目摘要

项目成果

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中文摘要
翻译
Tenet项目正在开发一种分层无线传感器网络的替代架构,该架构包含小尺寸的微尘和称为主节点的高功率节点。Tenet项目的指导架构原则主张,多节点数据融合功能和复杂的应用逻辑应该只在主站上实现,因为在mote中实现这一点的成本和复杂性超过了这样做的性能优势。Tenet因此简化了传感器网络上最难处理的软件的设计和构建。它将微尘通信限制在以master为根的树上。树通信被很好地理解,导致更可预测的通信模式,并提高了微尘层的可预测性。直接的尘埃间通信将破坏这种可预测性和可预测性。该项目正在设计和原型的Tenet堆栈。这个堆栈体现了Tenet架构原则,可以被多个应用程序重用。大规模传感器网络的这种堆栈的开发将大大加快从栖息地监测到结构监测的各种应用的发展。如果没有类似Tenet的架构,传感器网络部署将永远不会真正影响世界。
英文摘要
The Tenet project is developing an alternative architecture for tiered wireless sensor networks that contain both small-form-factor motes and high-powered nodes called masters. The Tenet project's guiding architectural principle asserts that multi-node data fusion functionality and complex application logic should be implemented only on the masters, since the cost and complexity of implementing this in motes outweighs the performance benefits of doing so.Tenet thus simplifies and standardizes the design and construction of the most difficult-to-handle software on a sensor network. It restricts mote communication to trees rooted at masters. Tree communication is well understood, leads to more predictable communication patterns and improves the manageability of the mote tier. Direct inter-mote communication would destroy much of this predictability and manageability.The project is designing and prototyping the Tenet stack. This stack embodies the Tenet architectural principle and can be reused by several applications. The development of such a stack for large-scale sensor networks will greatly accelerate the development of a variety of applications ranging from habitat monitoring to structural monitoring. Without a Tenet-like architecture, sensor network deployments will never truly impact the world.
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Collaborative Research: CNS Core: Medium: Panoptes: Next Generation Multi-Perspective Video Delivery at Internet Scale
  • 批准号:
    1956190
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $60.0万
  • 财政年份:
    2020
  • 负责人:
    Ramesh Govindan
  • 依托单位:
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