The research of mobile sensor nodes scheduling optimization based on GA-AFSA

DOI

10.2991/icsmim-15.2016.68How to use a DOI?

Keywords

WSN; Genetic algorithm; Artificial fish algorithm; sensor nodes Scheduling

Abstract

in order to make up for sensor nodes’ death effectively, this paper studies a kind of artificial fish algorithm (AFSA) improved by genetic algorithm (GA) to optimize the project of mobile sensor nodes Scheduling and the coverage of Wireless Sensor Networks (WSN) and energy consumption will be as the optimization goal . This paper introduce crossover and mutation probability of GA to improve AFSA. The simulation experiments have proved that The global search ability of GA-AFSA is better, and the improved GA-AFSA has higher efficiency and quality of the algorithm.

Copyright

© 2016, 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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TY  - CONF
AU  - Xiao-Feng Zhang
AU  - Li-Juan Yu
AU  - Wen-Wu Mao
AU  - Cheng-Ming Chen
AU  - Jun Xia
PY  - 2016/01
DA  - 2016/01
TI  - The research of mobile sensor nodes scheduling optimization based on GA-AFSA
BT  - Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
PB  - Atlantis Press
SP  - 364
EP  - 369
SN  - 2352-538X
UR  - https://doi.org/10.2991/icsmim-15.2016.68
DO  - 10.2991/icsmim-15.2016.68
ID  - Zhang2016/01
ER  -