Calculation and simulation of electromagnetic wave propagation path loss based on matlab

被引:0
作者
Yongxian S. [1 ,2 ]
Xianjin Z. [1 ]
机构
[1] School of Electronic Engineering, Huaihai Institute of Technology, Lianyungang
[2] Jiangsu Marine Resources Development Research Institute, Lianyungang
来源
Yongxian, Song (soyox@126.com) | 1943年 / Massey University卷 / 09期
关键词
Electromagnetic wave; FDTD; Field intensity distribution; Reliability; WSN;
D O I
10.21307/ijssis-2017-947
中图分类号
学科分类号
摘要
In order to reliable data transmission of wireless sensor network (WSN) in indoor environment, the indoor field intensity distribution and transmission characteristics of electromagnetic wave were researched. First of all, the 3D model in specific indoor environment was built by the finite difference time domain method (FDTD).Then, layout of room, different furniture, position of field source and field source frequency had an influence on indoor field intensity distribution that were studied, and the field intensity distribution was simulated by MATALAB. According to simulation of three dimensional field intensity distribution, and it had directly shown that various factors had an influence on the indoor field intensity distribution, thus indoor wireless sensor network nodes can be reasonable deployed by it, the packet loss rate of WSN transmission was reduced from information source, and it provided theoretical basis for further improving WSN information transmission reliability.
引用
收藏
页码:1943 / 1970
页数:27
相关论文
共 15 条
[1]  
Qiangyi L., Dongqian M., Juwei Z., Nodes Deployment Algorithm Based on Perceived Probability of Wireless Sensor Network, Computer Measurement & Control, 22, 2, pp. 643-645, (2014)
[2]  
Chen A., Kumar S., Ten H., Local Coverage in Wireless Sensor Networks, IEEE Transactions on Mobile Computing, 9, 4, pp. 491-504, (2010)
[3]  
Zhen L., Qi W., Mingli D., Fuzzy logic autonomous navigation method for WSN mobile nodes, Systems Engineering and Electronics, 31, 1, pp. 131-137, (2009)
[4]  
Srinivasan S., Ranganathan H., Cell Based Approach for Reader Antenna Installation in Radio Frequency Identification Sensor Network for Animal Tracking and Farm Management System, Advanced Science Letters, 19, 12, pp. 3605-3609, (2013)
[5]  
Jing M., Qinyu Z., Naitong Z., Et al., Research on IR-UWB through wall ranging error, JOURNAL OF HARBIN INSTITUTE OF TECHNOLIGY, 43, 11, pp. 84-88, (2011)
[6]  
Thiel M., Sarabandi K., 3D-Wave Propagation Analysis of Indoor Wireless Channels Utilizing Hybrid Methods, IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 5, 57, pp. 333-350, (2009)
[7]  
Gandhi O.P., Gao B.Q., Chen J.Y., A frequency-dependent finite-difference timedomain formulation for induced current calculationsin human beings, Bioelectromagnetics, 13, 6, pp. 543-556, (1992)
[8]  
Marinier P., Delisle G.Y., Despins C.L., Temporal Variations of the Indoor Wireless Millimeter-Wave Channel, IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 6, 46, pp. 235-240, (1998)
[9]  
Zhao Y., Gies V., Ginoux J.-M., WSN based thermal modeling: a new indoor energy efficient solution, International Journal on Smart Sensing and Intelligent Systems, 8, 2, pp. 869-895, (2015)
[10]  
Yang M., Optimal cluster head number based on entroy for data aggregation in wireless sensor, International Journal on Smart Sensing and Intelligent Systems, 8, 4, pp. 1935-1955, (2015)