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