Data Visualization for Wireless Sensor Networks Using ThingsBoard
Matthew Henschke, Xinzhou Wei, Xiaowen Zhang
Abstract
A data visualization proposition for wireless sensor networks (WSNs) is presented in this paper. WSNs play a pivotal role in the composition of Internet of Things (IoT) systems. In an IoT system, the data accumulated by nodes with distinct sensors can be used to monitor environmental conditions such as temperature and humidity. With this data, efforts can be taken to improve the comfort of people in these environments. There exist circumstances where directly connecting the data collected in the WSNs to the Internet may not always be economic efficient. Moreover, we propose a scheme that utilizes both open source hardware and software for data collection at the nodes of a WSN where it is visualized using an online IoT platform known as ThingsBoard.