Optimal placement of wireless sensor network system via K-means clustering approach and Genetic algorithm

• Main Authors: Huang, Jyun-Wei, 黃俊維
• Other Authors: Hung, Shih-Lin
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/3zm36v

碩士 === 國立交通大學 === 土木工程系所 === 104 === Lithium-ion batteries are the conventional energy source for sensing nodes in a wireless sensors network (WSN) in structure health monitoring (SHM). The stability and durability of the energy supply for sensing nodes in a WSN need improvement. Developing a new energy harvesting system or control sensors entering low-power mode or sleep state periodically by duty cycling the radio is common used to reduce energy consumption.In addition, the proper sensor configuration to the optimal measuring point (location) is also one of the effective approaches of energy conservation. The purpose of this study of two parts, the first part is considering the number of sensors and measuring the amount of information, using effective independence method EFI (Efective Idependence method) to optimize the sensor arrangement the second part is using K -means and Genetic Algorithm group the sensors under considering transmission distance and the number of single group limit sensors, grouping and proper arrangements to receive the sensor arrangement, to increase the quality and stability of the wireless sensor network monitoring.