Applying Multi-Channel Flooding to Vital Data Monitoring of a Large Number of Exercisers: Mobility and Link Modeling and Performance Evaluation
Shintaro Yamazuchi, Atushi Niino, Hirofumi Ogura, Hiroyuki Yomo, Ryusuke Miyarmoto, Shinsuke Hara, Takashi Kawabata · 2018
In recent years, there have been significant research effort on vital data monitoring of people playing sports, which provides us with the information on their physical conditions and training effect. In this paper, we assume a system configuration in which sensor nodes attached to exercisers with their back-waist positions sense vital data and send them to a sink node. In order to evaluate data collection performance by computer simulations, we first conduct experiments to collect position data of people playing football and footrace. Furthermore, we measure communication performance of sensor nodes with IEEE802.15.4g with experiments. Based on these experimental data, we construct mobility model and radio link model, which are applied to computer simulations investigating the performance of data collection employing a location-based flooding with multi-channel setting. Based on the obtained simulation results, we analyze the trade-off between the alleviation of congestion level and reduction of connectivity, which are observed when varying the number of allocated channels in the location-based flooding.