DocumentCode :
2343710
Title :
The low power energy aware processing (LEAP) embedded networked sensor system
Author :
Mclntire, Dustin ; Ho, Kei ; Yip, Bernie ; Singh, Amarjeet ; Wu, Winston ; Kaiser, William J.
Author_Institution :
Electr. Eng. Dept., California Univ., Los Angeles, CA
fYear :
0
fDate :
0-0 0
Firstpage :
449
Lastpage :
457
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
Keywords :
image processing; intelligent sensors; optimisation; scheduling; signal processing; statistical analysis; wireless sensor networks; ENS system; LEAP architecture; bandwidth communication; embedded networked sensor system; fine-grained energy dissipation monitoring; image processing; low power energy aware processing; multiprocessor node hardware; on-demand scheduling; optimization; power dissipating sensor device; signal processing; software architecture; sophisticated power control scheduling; statistical computing; Bandwidth; Embedded computing; Energy dissipation; Hardware; High performance computing; Monitoring; Sensor systems; Sensor systems and applications; Signal processing; Software architecture; Embedded wireless networked sensor; energy-aware multiprocessor platform; sensor platform hardware and software architecture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Processing in Sensor Networks, 2006. IPSN 2006. The Fifth International Conference on
Conference_Location :
Nashville, TN
Print_ISBN :
1-59593-334-4
Type :
conf
DOI :
10.1109/IPSN.2006.243913
Filename :
1662490
Link To Document :
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