Table of Contents Author Guidelines Submit a Manuscript
Journal of Sensors
Volume 2018 (2018), Article ID 1597089, 17 pages
Review Article

Survey of Energy-Efficient Techniques for the Cloud-Integrated Sensor Network

1Sambalpur University, SUIIT, Burla, Odisha, India
2Veer Surendra Sai University of Technology, Burla, Odisha, India

Correspondence should be addressed to Kalyan Das

Received 6 June 2017; Revised 9 October 2017; Accepted 26 November 2017; Published 7 February 2018

Academic Editor: Fanli Meng

Copyright © 2018 Kalyan Das et al. 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.


The sensor cloud is a combination of cloud computing with a wireless sensor network (WSN) which provides an easy to scale and efficient computing infrastructure for real-time application. A sensor cloud should be energy efficient as the life of the battery in the sensor is limited and there is a huge consumption of energy in the data centre in running the servers to provide storage. In this paper, we have classified energy-efficient techniques for sensor cloud into different categories and analyzed each technology by using various parameters. Usage percentage of each parameter for every technology is calculated and for all technologies on average is also calculated. From our analysis, we found that most of the energy-efficient techniques ignore quality of service (QoS) parameters, scalability, and network lifetime. Multiparameter optimization including other QoS parameters along with energy may be the future direction of research. Our study will be helpful for researchers to get information regarding current methods used for an energy-efficient sensor cloud and also to build advanced systems in the future.