Develop A Web-Based Visualisation Platform For Wireless Sensor Network Generation

被引:0
|
作者
Han, Bowen [1 ]
Kong, Xiaoying [1 ]
Sandrasegaran, Kumbesan [1 ]
Liu, Li [2 ]
机构
[1] Univ Technol Sydney, Fac Engn & Informat Technol, Ultimo, NSW 2007, Australia
[2] Univ Sydney, Fac Engn & Informat Technol, Sydney, NSW 2006, Australia
关键词
Wireless Sensor Network; WSN Generation; Algorithm Visualisation; Delaunay Triangulation; WSN Coverage Rate; ALGORITHMS;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Wireless sensors provide services and collect data from environment. Some Wireless Sensor Networks (WSN) demand high-assurance performance such as WSN for military observation. To achieve the expected assurance, WSN constructors deploy the sensors in an experiential manner or using massive redundant nodes which leads to low efficiency and waste of sensor devices due to the unreasonable sensor layout. Although a number of approaches using mathematical algorithms are proposed trying to solve the sensor deployment location and efficiency issues, it still remains very difficult for WSN constructors without mathematical background to utilise these algorithms in calculating sensor positions during the deployment. This paper developed an approach using visualisation platform to make the WSN generation algorithms visible and understandable to constructors. It allows algorithm contributors register their algorithms and enables constructors to explore these algorithms through visualising the calculation configuration and results. An algorithm is implemented to verify the platform in this paper. As more algorithms register in the platform, constructors may have more options to conduct the high-assurance WSN generation.
引用
收藏
页码:105 / 109
页数:5
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