Mobility model for Body Area Networks of soccer players

This work proposes a novel group mobility model that takes into account the interactions between players during a soccer match in order to generate realistic mobility patterns. The model is compared to existing solutions by analyzing the generated mobility patterns and their resemblance to the expected trajectories of players during a match. The analysis highlights the capability of the proposed model to generate realistic patterns. The proposed model is then adopted to represent the movement of players in an application scenario where each player wears a Body Area Network (BAN) that collects and transfers data to a sink by means of inter-BAN multihop routing. The impact of mobility on network performance is analyzed in terms of throughput and delay. Results highlight that different mobility models lead to significantly different network performance, and confirm the need for accurate mobility models in the analysis of wireless mobile networks.