Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

Application of Particle Swarm Optimization Based on Beetle Antennae Search Strategy in Wireless Sensor Network Coverage

Authors
Dianna Song
Corresponding Author
Dianna Song
Available Online May 2018.
DOI
10.2991/ncce-18.2018.175How to use a DOI?
Keywords
Particle Swarm Optimization; Beetle Antennae Search Algorithm; Wireless Sensor Network Coverage.
Abstract

Particle swarm optimization has attracted the attention of researchers because of its outstanding performance in optimization problems. The Beetle Antennae search algorithm(BAS) is a newly proposed simple and efficient search algorithm. This paper combines it with the particle swarm optimization algorithm, applies the individual search method to the group search, validates its validity through the test function, and applies Wireless sensor network coverage problem.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
Series
Advances in Intelligent Systems Research
Publication Date
May 2018
ISBN
10.2991/ncce-18.2018.175
ISSN
1951-6851
DOI
10.2991/ncce-18.2018.175How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Dianna Song
PY  - 2018/05
DA  - 2018/05
TI  - Application of Particle Swarm Optimization Based on Beetle Antennae Search Strategy in Wireless Sensor Network Coverage
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 1051
EP  - 1054
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.175
DO  - 10.2991/ncce-18.2018.175
ID  - Song2018/05
ER  -