Performance Prediction of Wireless Multi-Hop Networks Using Stored Data Sets for Persons during Exercises

To develop a wireless multi-hop networking protocol suited for real-time vital information monitoring from a group of exercisers, in this paper, we propose the use of computer simulation instead of real experiments. The computer simulation uses two stored data sets such as channel and mobility. The channel data set, which was generated by a channel measurement campaign, gives the distance-attenuation characteristic, obstruction characteristic and antenna radiation pattern between exercisers (wireless vital sensor nodes). In addition, the mobility data set, which was generated by video recording for a football game, gives the time-series of exercisers' locations. Computer simulation using the two stored data sets reveals that the types of antenna such as dipole and spiral and the types of body such as adult and child significantly affect the data collection rate.