Multipurpose Wireless Sensor Network Platform for Research and Training in Data Fusion, and Multi-feature Target Tracking

被引:0
|
作者
Kuzu, Ahmet
Erboral, Serkan
Bogosyan, Seta
Gokasan, Metin
机构
关键词
Wireless Sensor Networks (WSN); education platform; odor sensors; motion sensors; plume source localization; mobile odor tracking; ALGORITHMS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper introduces a multipurpose wireless sensor network (WSN) platform for education and research. The WSN platform is designed with state-of-the-art multiple sensor modules with high processing capability and can support a variety of research and education projects in sensor/data fusion and target tracking algorithms. The modules comprise of odor sensors in combination with different motion, sound, and temperature sensors to address multi-level research and education projects in plume source localization (for odor and/or temperature), and non-odor based target detection and tracking, as well as efficient communication strategies in WSNs. A novelty of the platform is that it offers a combination of odor, and non-odor based sensors, which facilitate research in mobile odor source tracking. The platform has been established as part of a MS thesis project, and is currently under development with the addition of odor sensors to allow for an increased variety of graduate studies as thesis projects and in sensor fusion courses.
引用
收藏
页码:181 / 186
页数:6
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