Next Article in Journal
Sustainability and Environmental Sociology: Putting the Economy in its Place and Moving Toward an Integrative Socio-Ecology
Next Article in Special Issue
Sustainable Wearables: Wearable Technology for Enhancing the Quality of Human Life
Previous Article in Journal
Predicting China’s SME Credit Risk in Supply Chain Financing by Logistic Regression, Artificial Neural Network and Hybrid Models
Previous Article in Special Issue
Asymmetric Block Design-Based Neighbor Discovery Protocol in Sensor Networks
Article Menu

Export Article

Open AccessArticle
Sustainability 2016, 8(5), 436; doi:10.3390/su8050436

Sustainable Load-Balancing Scheme for Inter-Sensor Convergence Processing of Routing Cooperation Topology

1
Department of Multimedia Engineering, Dongguk University, Seoul 04620, Korea
2
Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea
*
Authors to whom correspondence should be addressed.
Academic Editor: Marc A. Rosen
Received: 15 February 2016 / Revised: 26 April 2016 / Accepted: 27 April 2016 / Published: 3 May 2016
(This article belongs to the Special Issue Advanced IT based Future Sustainable Computing)
View Full-Text   |   Download PDF [5580 KB, uploaded 3 May 2016]   |  

Abstract

Recent advancements in Information Technology (IT) have sparked the creation of numerous and diverse types of devices and services. Manual data collection measurement methods have been automated through the use of various wireless or wired sensors. Single sensor devices are included in smart devices such as smartphones. Data transmission is critical for big data collected from sensor nodes, such as Mobile Sensor Nodes (MSNs), where sensors move dynamically according to sensor mobility, or Fixed Sensor Nodes (FSNs), where sensor locations are decided by the users. False data transfer processing of big data results in topology lifespan reduction and data transfer delays. Hence, a variety of simulators and diverse load-balancing algorithms have been developed as protocol verification tools for topology lifespan maximization and effective data transfer processing. However, those previously developed simulators have limited functions, such as an event function for a specific sensor or a battery consumption rate test for sensor deployment. Moreover, since the previous load-balancing algorithms consider only the general traffic distribution and the number of connected nodes without considering the current topology condition, the sustainable load-balancing technique that takes into account the battery consumption rate of the dispersed sensor nodes is required. Therefore, this paper proposes the Sustainable Load-balancing Scheme (SLS), which maximizes the overall topology lifespan through effective and sustainable load-balancing of data transfer among the sensors. SLS is capable of maintaining an effective topology as it considers both the battery consumption rate of the sensors and the data transfer delay. View Full-Text
Keywords: sustainable load-balancing; cloud computing; convergence processing; green communication sustainable load-balancing; cloud computing; convergence processing; green communication
Figures

Figure 1

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. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Kim, H.-W.; Park, J.H.; Jeong, Y.-S. Sustainable Load-Balancing Scheme for Inter-Sensor Convergence Processing of Routing Cooperation Topology. Sustainability 2016, 8, 436.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top