Bioinspired Evolutionary Algorithm Based for Improving Network Coverage in Wireless Sensor Networks

Joint Authors

Abbasi, Mohammadjavad
Bin Abd Latiff, Muhammad Shafie
Chizari, Hassan

Source

The Scientific World Journal

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