Harvesting Ambient Environmental Energy for Wireless Sensor Networks: A Survey

Joint Authors

Huang, Linghua
Li, Wei
Zhu, Zhencai
Zhou, Gongbo

Source

Journal of Sensors

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-20, 20 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-06-12

Country of Publication

Egypt

No. of Pages

20

Main Subjects

Civil Engineering

Abstract EN

In recent years, wireless sensor networks (WSNs) have grown dramatically and made a great progress in many applications.

But having limited life, batteries, as the power sources of wireless sensor nodes, have restricted the development and application of WSNs which often requires a very long lifespan for better performance.

In order to make the WSNs prevalent in our lives, an alternative energy source is required.

Environmental energy is an attractive power source, and it provides an approach to make the sensor nodes self-powered with the possibility of an almost infinite lifetime.

The goal of this survey is to present a comprehensive review of the recent literature on the various possible energy harvesting technologies from ambient environment for WSNs.

American Psychological Association (APA)

Zhou, Gongbo& Huang, Linghua& Li, Wei& Zhu, Zhencai. 2014. Harvesting Ambient Environmental Energy for Wireless Sensor Networks: A Survey. Journal of Sensors،Vol. 2014, no. 2014, pp.1-20.
https://search.emarefa.net/detail/BIM-1042982

Modern Language Association (MLA)

Zhou, Gongbo…[et al.]. Harvesting Ambient Environmental Energy for Wireless Sensor Networks: A Survey. Journal of Sensors No. 2014 (2014), pp.1-20.
https://search.emarefa.net/detail/BIM-1042982

American Medical Association (AMA)

Zhou, Gongbo& Huang, Linghua& Li, Wei& Zhu, Zhencai. Harvesting Ambient Environmental Energy for Wireless Sensor Networks: A Survey. Journal of Sensors. 2014. Vol. 2014, no. 2014, pp.1-20.
https://search.emarefa.net/detail/BIM-1042982

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1042982