Paper Info
Title
Energy management of embedded wireless systems through voltage and modulation scaling under probabilistic workloads
Abstract
Many wireless embedded systems must deal with increasingly complex and time-varying workloads. Moreover, real-time constraints must be satisfied. Most of the existing energy management studies for such systems have focused on relatively simple models that assume deterministic workloads and consider a limited range of energy management techniques, including Dynamic Voltage Scaling (DVS). Our paper addresses these deficiencies by proposing a general purpose probabilistic workload model for computation and communication. To account for the importance of radio energy consumption, we also analyse Dynamic Modulation Scaling (DMS), an often overlooked method for energy management. We define several energy control algorithms, including an optimal combined DVS-DMS approach, and evaluate these algorithms under a wide range of workload values and hardware settings. Our results illustrate the benefits of various power control algorithms.
Year
DOI
Venue
2014
10.1109/IGCC.2014.7039168
Green Computing Conference
Keywords
Field
DocType
embedded systems,energy consumption,modulation,power aware computing,probability,radio networks,telecommunication power management,DVS-DMS approach,deterministic workloads,dynamic modulation scaling,dynamic voltage scaling,embedded wireless systems,energy management,general purpose probabilistic workload model,modulation scaling,power control algorithm,radio energy consumption,real-time constraints
Dynamic voltage scaling,Energy management,Wireless,Workload,Computer science,Real-time computing,Probabilistic logic,Energy consumption,Scaling,Distributed computing,Computation
Conference
Citations 
PageRank 
References 
4
0.41
23
Authors
3
Name
Order
Citations
PageRank
Maryam Bandari142.10
Robert Simon210712.76
Hakan Aydin3121861.97