Enriched Media-Experience of Sport Events
WMCSA '04 Proceedings of the Sixth IEEE Workshop on Mobile Computing Systems and Applications
Antennas And Propagation for Body-Centric Wireless Communications
Antennas And Propagation for Body-Centric Wireless Communications
Power law and exponential decay of inter contact times between mobile devices
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Design and Implementation of a Real-Time Wireless Sensor Network
SENSORCOMM '07 Proceedings of the 2007 International Conference on Sensor Technologies and Applications
Toward stochastic anatomy of inter-meeting time distribution under general mobility models
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
EMO: A statistical encounter-based mobility model for simulating delay tolerant networks
WOWMOM '08 Proceedings of the 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks
Transmission power control in body area sensor networks for healthcare monitoring
IEEE Journal on Selected Areas in Communications - Special issue on body area networking: Technology and applications
Modeling signal strength of body-worn devices
LCN '10 Proceedings of the 2010 IEEE 35th Conference on Local Computer Networks
Synthesis of accurate fractional Gaussian noise by filtering
IEEE Transactions on Information Theory
Hi-index | 0.00 |
Live physiological monitoring of soccer players during sporting events can help maximise athlete performance while preventing injury, and enable new applications for referee-assist and enhanced television broadcast services. However, the harsh operating conditions in the soccer field pose several challenges: (a) body-mounted wireless sensor devices have limited radio range, (b) playing area is large, necessitating multi-hop transmission, (c) wireless connectivity is dynamic due to extreme mobility, and (d) data forwarding has to operate within tight delay/energy constraints. In this paper, we take a first step towards characterising wireless connectivity in the soccer field by undertaking experimental work with local soccer clubs, and assess the feasibility of real-time athlete monitoring. We make three specific contributions: (1) We develop an empirical profile of radio signal strength in an open soccer field taking into account distance and body orientation of the athlete. (2) Using data from several soccer games we profile key characteristics of wireless connectivity, highlighting aspects such as small power-law inter-encounters and link correlations. (3) We develop practical multi-hop routing algorithms that can be tuned to achieve the right balance between the competing objectives of resource consumption and data extraction delay. We believe our study is the first to characterise the wireless environment for mobile sensor networks in field sports, and paves the way towards realisation of real-time athlete monitoring systems.