![](/images/graphics-bg.png)
Bioinspired Evolutionary Algorithm Based for Improving Network Coverage in Wireless Sensor Networks
Joint Authors
Abbasi, Mohammadjavad
Bin Abd Latiff, Muhammad Shafie
Chizari, Hassan
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Wireless sensor networks (WSNs) include sensor nodes in which each node is able to monitor the physical area and send collected information to the base station for further analysis.
The important key of WSNs is detection and coverage of target area which is provided by random deployment.
This paper reviews and addresses various area detection and coverage problems in sensor network.
This paper organizes many scenarios for applying sensor node movement for improving network coverage based on bioinspired evolutionary algorithm and explains the concern and objective of controlling sensor node coverage.
We discuss area coverage and target detection model by evolutionary algorithm.
American Psychological Association (APA)
Abbasi, Mohammadjavad& Bin Abd Latiff, Muhammad Shafie& Chizari, Hassan. 2014. Bioinspired Evolutionary Algorithm Based for Improving Network Coverage in Wireless Sensor Networks. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1051285
Modern Language Association (MLA)
Abbasi, Mohammadjavad…[et al.]. Bioinspired Evolutionary Algorithm Based for Improving Network Coverage in Wireless Sensor Networks. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1051285
American Medical Association (AMA)
Abbasi, Mohammadjavad& Bin Abd Latiff, Muhammad Shafie& Chizari, Hassan. Bioinspired Evolutionary Algorithm Based for Improving Network Coverage in Wireless Sensor Networks. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1051285
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051285