An Open Source Data Visualization System for Wireless Sensor Network
Xinzhou Wei, Li Geng, Xiaowen Zhang

This paper presents a data visualization scheme for wireless sensor network which plays an important role in the structure of Internet of Things (IoT). In the infrastructure of IoT, data collected by its end nodes with different sensors can be used to monitor the energy consumption and the salubrity of the environment in public buildings in order to further improve the level of comfort and productivity of the people in these environments. However, the data collected by the wireless sensors at the end nodes of IoT cannot always be directly connected to Internet and provide web-based service to users for some special situations, e.g. electric transport towers installed at remote mountains. In this paper, we propose a framework that uses both open source hardware and software to collect the data at the end nodes from a wireless sensor network while visualizing the data without network gateway and/or web-based cloud server. A Zig Bee based wireless sensor network was applied to achieve an efficient and economical solution to monitor the device in real time and transmit these data to IoT. Experiment results demonstrated that the proposed framework is feasible for achieving an efficient and low-cost visualization system in the wireless sensor network.

Full Text: PDF     DOI: 10.15640/jcsit.v5n2a2