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

Joint Authors

Das, Kalyan
Das, Satyabrata
Darji, Rabi Kumar
Mishra, Ananya

Source

Journal of Sensors

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-17, 17 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-02-07

Country of Publication

Egypt

No. of Pages

17

Main Subjects

Civil Engineering

Abstract EN

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.

American Psychological Association (APA)

Das, Kalyan& Das, Satyabrata& Darji, Rabi Kumar& Mishra, Ananya. 2018. Survey of Energy-Efficient Techniques for the Cloud-Integrated Sensor Network. Journal of Sensors،Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1200762

Modern Language Association (MLA)

Das, Kalyan…[et al.]. Survey of Energy-Efficient Techniques for the Cloud-Integrated Sensor Network. Journal of Sensors No. 2018 (2018), pp.1-17.
https://search.emarefa.net/detail/BIM-1200762

American Medical Association (AMA)

Das, Kalyan& Das, Satyabrata& Darji, Rabi Kumar& Mishra, Ananya. Survey of Energy-Efficient Techniques for the Cloud-Integrated Sensor Network. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1200762

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1200762