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Dynamic Deployment of Wireless Sensor Networks by Biogeography Based Optimization Algorithm
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
Graduate School of Chinese Academy of Sciences, Beijing 100039, China
School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, China
* Author to whom correspondence should be addressed.
Received: 30 April 2012; in revised form: 11 June 2012 / Accepted: 19 June 2012 / Published: 27 June 2012
Abstract: 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.
Keywords: biogeography-based optimization; wireless sensor networks; dynamic deployment; binary detection model
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Cite This Article
MDPI and ACS Style
Wang, G.; Guo, L.; Duan, H.; Liu, L.; Wang, H. Dynamic Deployment of Wireless Sensor Networks by Biogeography Based Optimization Algorithm. J. Sens. Actuator Netw. 2012, 1, 86-96.
Wang G, Guo L, Duan H, Liu L, Wang H. Dynamic Deployment of Wireless Sensor Networks by Biogeography Based Optimization Algorithm. Journal of Sensor and Actuator Networks. 2012; 1(2):86-96.
Wang, Gaige; Guo, Lihong; Duan, Hong; Liu, Luo; Wang, Heqi. 2012. "Dynamic Deployment of Wireless Sensor Networks by Biogeography Based Optimization Algorithm." J. Sens. Actuator Netw. 1, no. 2: 86-96.