DocumentCode
1742447
Title
Energy aware sampling schemes
Author
Nuggehalli, Pavan ; Srinivasan, Vikram ; Chebrolu, Kameswari ; Rao, Ramesh
Author_Institution
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
Volume
2
fYear
2000
fDate
2000
Firstpage
870
Abstract
In an effort to conserve energy, mobile hosts wake up periodically to serve incoming traffic. This gives rise to a trade-off between energy consumption and delay. However, the deterministic strategy of current systems might not yield the desired performance. We show that knowledge of the statistical characteristics of incoming traffic can be used to better meet the energy and delay requirements of the mobile node. We consider zero-buffer and buffered models. We propose some strategies to improve the energy efficiency and study the related trade-offs. We also introduce a new metric for energy efficiency and derive explicit expressions for the same. Our results prove that significant gains accrue by employing intelligent wake-up schemes
Keywords
buffer storage; discrete time systems; energy conservation; land mobile radio; packet radio networks; queueing theory; signal sampling; statistical analysis; telecommunication traffic; buffered model; delay; delay requirement; discrete-time system; energy aware sampling schemes; energy conservation; energy consumption; energy efficiency; energy requirements; incoming traffic statistical characteristics; intelligent wake-up schemes; mobile hosts; mobile node; packet inter-arrival time; performance; queueing systems; zero-buffer model; Base stations; Delay; Drives; Energy capture; Energy consumption; Energy efficiency; Mobile computing; Radiofrequency identification; Sampling methods; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Networking Confernce, 2000. WCNC. 2000 IEEE
Conference_Location
Chicago, IL
ISSN
1525-3511
Print_ISBN
0-7803-6596-8
Type
conf
DOI
10.1109/WCNC.2000.903971
Filename
903971
Link To Document