Underwater Acoustic Sensor Network Nodes Targeting And Optimization Strategies

摘要：

Wireless sensor networks more complex in the marine environment than in terrestrial environments, the independent positioning mechanism can reduce the difficulty of modeling. The study on underwater acoustic sensor network node distribution of twodimensional and three-dimensional respectively and the establishment relation function of the distance of beacon nodes and unknown nodes which based on in the traditional centroid algorithm idea. Using Taylor series can reduce the complexity computing of nodes who sensitive to energy because of its linear approximation in a manner. Because the genetic algorithm fitness function only interested in building the corresponding function, optimizing the established function. Simulation results show that: it can achieve the nodes self-localization effectively both in two-dimension and threedimension that the distance formulas between nodes are liberalized by Taylor series and optimized by genetic algorithms.

关键词： Underwater acoustic sensor networks Taylor series Centroid algorithm Three-dimensional Node self-localization

作者: Hua Zhang Yu Liang Liu

作者单位: School of Electromechanical Engineering, Zhejiang Ocean University,No. 105, Wenhua Road, Zhoushan, Zhejiang Province, 316000, China

会议类型: 国际会议

会议名称: 2011 International Conference on Mechatronics and Materials Processing(2011年机电一体化与材料加工国际会议 ICMMP)

会议地点: 广州

会议语种:英文

页码: 2004-2009

在线出版日期: 2011-11-18（万方平台首次上网日期，不代表论文的发表时间）