An Enhanced PEGASIS Algorithm with Mobile Sink Support for Wireless Sensor Networks

Joint Authors

Wang, Jin
Gao, Yu
Yin, Xiang
Li, Feng
Kim, Hye-Jin

Source

Wireless Communications and Mobile Computing

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-12-02

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Information Technology and Computer Science

Abstract EN

Energy efficiency has been a hot research topic for many years and many routing algorithms have been proposed to improve energy efficiency and to prolong lifetime for wireless sensor networks (WSNs).

Since nodes close to the sink usually need to consume more energy to forward data of its neighbours to sink, they will exhaust energy more quickly.

These nodes are called hot spot nodes and we call this phenomenon hot spot problem.

In this paper, an Enhanced Power Efficient Gathering in Sensor Information Systems (EPEGASIS) algorithm is proposed to alleviate the hot spots problem from four aspects.

Firstly, optimal communication distance is determined to reduce the energy consumption during transmission.

Then threshold value is set to protect the dying nodes and mobile sink technology is used to balance the energy consumption among nodes.

Next, the node can adjust its communication range according to its distance to the sink node.

Finally, extensive experiments have been performed to show that our proposed EPEGASIS performs better in terms of lifetime, energy consumption, and network latency.

American Psychological Association (APA)

Wang, Jin& Gao, Yu& Yin, Xiang& Li, Feng& Kim, Hye-Jin. 2018. An Enhanced PEGASIS Algorithm with Mobile Sink Support for Wireless Sensor Networks. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1216403

Modern Language Association (MLA)

Wang, Jin…[et al.]. An Enhanced PEGASIS Algorithm with Mobile Sink Support for Wireless Sensor Networks. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1216403

American Medical Association (AMA)

Wang, Jin& Gao, Yu& Yin, Xiang& Li, Feng& Kim, Hye-Jin. An Enhanced PEGASIS Algorithm with Mobile Sink Support for Wireless Sensor Networks. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1216403

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1216403