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Experimental study of mobility in the soccer field with application to real-time athlete monitoring

Experimental study of mobility in the soccer field with application to real-time athlete monitoring,10.1109/WIMOB.2010.5645046,Vijay Sivaraman,Sarthak

Experimental study of mobility in the soccer field with application to real-time athlete monitoring   (Citations: 2)
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Live monitoring of athletes during sporting events can help maximise performance while preventing injury, and enable new applications such as referee-assist and enhanced television broadcast services. A major challenge is the extraction of athlete physiological data in real-time, since the radio range of body-worn sensor devices is limited, necessitating multi-hop routing mechanisms. However, little is known about the highly dynamic operating conditions on a soccer field under which communication protocols need to operate. In this work we conduct field experiments in which we outfit first-division soccer players with sensor devices and record their inter-connectivity during a real game. Our first contribution profiles the key properties of the dynamic wireless topologies arising in the soccer field, and highlights the consequences for routing mechanisms. We show that the topology is in general sparse, with short encounters and power-law distributed inter-encounters. Importantly, the co-ordinated movement of players in the field gives rise to significant correlations amongst links, an aspect that can potentially be exploited by routing. Our second contribution develops a model for generating synthetic topologies that mirror connectivity in a real soccer game, and can be used for simulation studies of routing mechanisms. Its novelty lies in explicitly modelling the underlying auto-correlation and cross-correlation properties of the links, from which derived measures such as inter-encounter times and neighbourhood distributions follow. Our study is an important first step towards understanding and modelling dynamic topologies associated with sports monitoring, and paves the way for the design of real-time routing algorithms for such environments.
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    • ...Our experiments, profiling and modelling of the connectivity are described in detail in [4]...
    • ...The assumptions for this result call for every node to move independently according to a mobility model which has this property; this does not happen in a soccer game, which exhibits correlation between player movements [4]...
    • ...However, our analysis of the interconnectivity between soccer players in [4] shows connectivity periods to be too short to allow exchange of such metrics...

    Ashay Dhamdhereet al. Experiments with wireless sensor networks for real-time athlete monito...

    • ...From our experiments with first division soccer players, we were able to show that link correlations exist between soccer players due to their co-ordinated motion [6]...

    Alexander Kurusingalet al. Modeling signal strength of body-worn devices

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