Next Article in Journal
Intelligent Urban Public Transportation for Accessibility Dedicated to People with Disabilities
Next Article in Special Issue
Detecting Unknown Attacks in Wireless Sensor Networks That Contain Mobile Nodes
Previous Article in Journal
Hyperspectral Analysis of Soil Nitrogen, Carbon, Carbonate, and Organic Matter Using Regression Trees
Previous Article in Special Issue
FunBlocks. A Modular Framework for AmI System Development
Sensors 2012, 12(8), 10659-10677; doi:10.3390/s120810659
Article

Ubiquitous Green Computing Techniques for High Demand Applications in Smart Environments

1,2,* , 3
,
4
,
2
 and
4
1 CEI Campus Moncloa, UCM-UPM, Madrid 28040, Spain 2 Electronic Engineering Department, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid 28040, Spain 3 IMDEA Software Institute, and Institute for Applied Physics, CSIC, Madrid 28660, Spain 4 DACYA, Universidad Complutense de Madrid, Madrid 28040, Spain
* Author to whom correspondence should be addressed.
Received: 19 March 2012 / Revised: 23 July 2012 / Accepted: 27 July 2012 / Published: 3 August 2012
View Full-Text   |   Download PDF [587 KB, uploaded 21 June 2014]   |   Browse Figures

Abstract

Ubiquitous sensor network deployments, such as the ones found in Smart cities and Ambient intelligence applications, require constantly increasing high computational demands in order to process data and offer services to users. The nature of these applications imply the usage of data centers. Research has paid much attention to the energy consumption of the sensor nodes in WSNs infrastructures. However, supercomputing facilities are the ones presenting a higher economic and environmental impact due to their very high power consumption. The latter problem, however, has been disregarded in the field of smart environment services. This paper proposes an energy-minimization workload assignment technique, based on heterogeneity and application-awareness, that redistributes low-demand computational tasks from high-performance facilities to idle nodes with low and medium resources in the WSN infrastructure. These non-optimal allocation policies reduce the energy consumed by the whole infrastructure and the total execution time.
Keywords: ubiquitous sensor network; green computing; heterogeneous systems; data centers; high performance computing; smart cities; ambient intelligence ubiquitous sensor network; green computing; heterogeneous systems; data centers; high performance computing; smart cities; ambient intelligence
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote
MDPI and ACS Style

Zapater, M.; Sanchez, C.; Ayala, J.L.; Moya, J.M.; Risco-Martín, J.L. Ubiquitous Green Computing Techniques for High Demand Applications in Smart Environments. Sensors 2012, 12, 10659-10677.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here

Comments

Cited By

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert