Dynamic Deployment of Wireless Sensor Networks by Biogeography Based Optimization Algorithm

Journal of Sensor and Actuator Networks

Gaige Wang¹  Lihong Guo¹  Hong Duan²  Luo Liu¹ 

[1] Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China;School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, China;

关键词: biogeography-based optimization;    wireless sensor networks;    dynamic deployment;    binary detection model;   

DOI  :  10.3390/jsan1020086

来源: mdpi

【 摘 要 】

As the usage and development of wireless sensor networks increases, problems related to these networks are becoming apparent. Dynamic deployment is one of the main topics that directly affects the performance of the wireless sensor networks. In this paper, biogeography-based optimization is applied to the dynamic deployment of static and mobile sensor networks to achieve better performance by trying to increase the coverage area of the network. A binary detection model is considered to obtain realistic results while computing the effectively covered area. Performance of the algorithm is compared with that of the artificial bee colony algorithm, Homo-H-VFCPSO and stud genetic algorithm that are also population-based optimization algorithms. Results show biogeography-based optimization can be preferable in the dynamic deployment of wireless sensor networks.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland.