Affiliation:
1. Cornell University, Ithaca, NY
Abstract
We present a novel processor architecture designed specifically for use in low-power wireless sensor-network nodes. Our sensor network asynchronous processor (SNAP/LE) is based on an asynchronous data-driven 16-bit RISC core with an extremely low-power idle state, and a wakeup response latency on the order of tens of nanoseconds. The processor instruction set is optimized for sensor-network applications, with support for event scheduling, pseudo-random number generation, bitfield operations, and radio/sensor interfaces. SNAP/LE has a hardware event queue and event coprocessors, which allow the processor to avoid the overhead of operating system software (such as task schedulers and external interrupt servicing), while still providing a straightforward programming interface to the designer. The processor can meet performance levels required for data monitoring applications while executing instructions with tens of picojoules of energy.We evaluate the energy consumption of SNAP/LE with several applications representative of the workload found in data-gathering wireless sensor networks. We compare our architecture and software against existing platforms for sensor networks, quantifying both the software and hardware benefits of our approach.
Publisher
Association for Computing Machinery (ACM)
Reference45 articles.
1. A. J. Martin et al. The Lutonium: A Sub-Nanojoule Asynchronous 8051 Microcontroller 9th IEEE Symposium on Asynchronous Circuits and Systems May 2003. A. J. Martin et al. The Lutonium: A Sub-Nanojoule Asynchronous 8051 Microcontroller 9th IEEE Symposium on Asynchronous Circuits and Systems May 2003.
2. An autonomous 16 mm/sup 3/ solar-powered node for distributed wireless sensor networks
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Accelerating asynchronous programs through event sneak peek;ACM SIGARCH Computer Architecture News;2016-01-04
2. Accelerating asynchronous programs through event sneak peek;Proceedings of the 42nd Annual International Symposium on Computer Architecture;2015-06-13
3. Energy balance for peak detection method in piezoelectric energy harvester;Journal of Intelligent Material Systems and Structures;2013-09-09
4. System-Level Synthesis for Wireless Sensor Node Controllers;ACM Transactions on Design Automation of Electronic Systems;2012-01
5. A 36μW heartbeat-detection processor for a wireless sensor node;ACM Transactions on Design Automation of Electronic Systems;2011-10