Self-Calibrating Body Sensor Network Based on Periodic Human Movements

Abstract

Body sensor networks with a central gateway node can control wireless transmission and optimize the network lifetime. The central node should be placed within communication reach of other nodes spread out around the human body, such as on the chest. This paper reports a novel energy-efficient time multiplexing transmission method based on the human rhythmic movement of running for on-body wireless communication. The running style of each individual allows the network to selfcalibrate the communication scheme so that transmissions occur only when high link reliability is predicted. This technique takes advantage of the periodic running actions to implement a dynamic time division multiple access (TDMA) strategy for a five node body network with very little communication overhead, long sleep times for the sensor transceivers and robustness to communication errors. The results showed all wireless communications were successful, except when two nodes attempt to use the transmission medium simultaneously. An aggregated network reliability of 90% was achieved compared to 63% when employing traditional time multiplexing algorithms.

RF Energy Absorption in Human Bodies Due to Wearable Antennas in the 2.4 GHz Frequency Band

“…Applications of this antenna model can be related to sport training or entertainment, in which an on-body sensor communicates with the exterior. As specified by Sabti et al [2015], body sensors allow professionals to effectively measure the athlete training sessions and perform early diagnosis and treatment. For example, in [Marin-Perianu et al, 2013] wearable sensors together with a wireless device located out of the body were used to allow the cyclists to get immediate feedback about their pedaling movement.…”

Basketball Player On-Body Biophysical and Environmental Parameter Monitoring Based on Wireless Sensor Network Integration

“…This opens a new paradigm that can be called the Internet of Sports Things (IoST), which will aid professional athletes to reach their goals using smart wireless sensors networks, applicable on an individual level as well as in the development of team sport activities. Table I presents an overview of different approaches in the application of WSN and technological integration within the scope of sport related activities [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. In general, these published research studies help the effectiveness of movements or training performance in different kind of sports.…”