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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mclntire, D. Ho, K. Yip, B. Singh, A. Wu, W. Kaiser, W.J. |
| Copyright Year | 2006 |
| Description | Author affiliation: Electr. Eng. Dept., California Univ., Los Angeles, CA (Mclntire, D.; Ho, K.; Yip, B.; Singh, A.; Wu, W.; Kaiser, W.J.) |
| Abstract | A broad range of embedded networked sensor (ENS) systems for critical environmental monitoring applications now require complex, high peak power dissipating sensor devices, as well as on-demand high performance computing and high bandwidth communication. Embedded computing demands for these new platforms include support for computationally intensive image and signal processing as well as optimization and statistical computing. To meet these new requirements while maintaining critical support for low energy operation, a new multiprocessor node hardware and software architecture, low power energy aware processing (LEAP), has been developed. The LEAP architecture integrates fine-grained energy dissipation monitoring and sophisticated power control scheduling for all subsystems including sensor subsystems. This paper also describes a new distributed node testbed demonstrating that by exploiting high high energy efficiency components and enabling proper on-demand scheduling, the LEAP architecture may meet both sensing performance and energy dissipation objectives for a broad class of applications |
| Sponsorship | ACM SIGBED & IEEE Signal Process. Soc |
| Starting Page | 449 |
| Ending Page | 457 |
| File Size | 5720855 |
| Page Count | 9 |
| File Format | |
| ISBN | 1595933344 |
| DOI | 10.1109/IPSN.2006.243913 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-04-19 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Association for Computing Machinery, Inc. (ACM) |
| Subject Keyword | Embedded computing sensor platform hardware and software architecture Sensor systems and applications Sensor systems Software architecture High performance computing Energy dissipation energy-aware multiprocessor platform Bandwidth Signal processing Hardware Embedded wireless networked sensor Monitoring |
| Content Type | Text |
| Resource Type | Article |
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