The research of mobile sensor nodes scheduling optimization based on GA-AFSA
Authors
Xiao-Feng Zhang, Li-Juan Yu, Wen-Wu Mao, Cheng-Ming Chen, Jun Xia
Corresponding Author
Xiao-Feng Zhang
Available Online January 2016.
- 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/).
Cite this article
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 -