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Project TitleProcessing Element Optimized for Event-Driven Applications
Track Code3309
Short Description

This invention provides an event-driven processor architecture that can be used as a sensor node processor. It is optimized for low energy requirements and data monitoring operations in sensor networks.

Abstract

This invention provides an event-driven processor architecture that can be used as a sensor node processor. It is optimized for low energy requirements and data monitoring operations in sensor networks.

The invention is event-driven with a low-overhead transition between active and idle periods, distinguishing it from a conventional microprocessor. Conventional processors have several sleep states whereas the invention’s processor has a single sleep state, during which all switching activity stops. The time to wake up from this sleep state is merely tens of nanoseconds. Additionally, the processor includes a lower-power sleep mode and exhibits low power consumption when awake, providing the best of both worlds: the energy savings of "deep" sleep and the low wake-up latency of "light" sleep.

 

Potential Applications

  • Sensor applications to gather, process, and propagate information from the surrounding environment, such as temperature/humidity/movement sensors in smart home systems monitoring, vibration sensors for earthquake monitoring, and stress/strain sensors for materials/machines monitoring
  • Applications as a sensor node of a wireless sensor network or a network simulation protocol

 

Advantages

  • Low-power management of sensor network nodes
  • Faster simulation of large-scale sensor networks
  • A common software interface that can be used to build both physical and simulated nodes
  • No need for an OS with built-in hardware support for event execution
  • A simple programming model for easier timer-scheduling and data-reading
 
TagsNetwork Devices, Network Efficiency, physical science, processors, signal processing
 
Posted DateJul 25, 2012 8:42 PM

Researcher

Name
Rajit Manohar
Clinton Kelly, IV

Additional Information

Patent: 7,788,332

Licensing Contact

Martin Teschl

mt439@cornell.edu

(607) 254-4454

Files

File Name Description
Asynchronous Portfolio Manohar.pdf Combined Technology Brief Download