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Flexible, ultra-low power sensor nodes through configurable finite state machines

机译:通过可配置的有限状态机实现灵活的超低功耗传感器节点

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Due to the recent popularity of context-sensitive applications, there is a growing need for reliable, long-lifetime ubiquitous sensor nodes. The severe energy-efficiency requirements of these energy-scarce devices require complementing traditional circuit-level energy saving techniques, with architecture-level methods. Traditional approaches such as exploiting parallelism have however limited impact in sensor node processors, due to their control-dominated and event-based, irregular data processing workload patterns. Executing event-based tasks in specialized finite state machines relieves the on-board microcontroller, however, at the penalty of reduced post-manufacturing configurability. An architecture proposal for configurable finite state machines assisting sensor node processors is presented, which allows saving energy through task off-load while maintaining system flexibility. Simulations demonstrate 46% energy savings when compared to a sensor node that executes tasks in a microcontroller. This gain comes at relatively minor area overhead.
机译:由于上下文相关应用程序的最近流行,对可靠,长期存在的无处不在的传感器节点的需求不断增长。这些节能型设备对能源效率的严格要求,需要采用架构级方法来补充传统的电路级节能技术。但是,由于采用了并行控制等基于事件的不规则数据处理工作负载模式,因此诸如利用并行性等传统方法对传感器节点处理器的影响有限。在专用的有限状态机中执行基于事件的任务可以减轻板载微控制器的负担,但是会降低制造后的可配置性。提出了一种可配置的有限状态机来协助传感器节点处理器的体系结构建议,它允许通过任务卸载节省能量,同时保持系统的灵活性。与在微控制器中执行任务的传感器节点相比,仿真显示节能46%。该增益来自相对较小的区域开销。

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