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Considering that Smartphones are tightly-coupled with their users, the interaction between Smartphones and wireless sensor networks will play a very important role in pervasive computing for improving the people daily life. Instead of using Smartphones to access the services provided by various wire-less sensor networks, the authors focus on using Smartphones to collect data from sensor nodes opportunistically. In this paper, through analyzing the dataset from mobile data challenge by Nokia, they validated the feasibility of opportunistic data collection and identified several important characteristics of Smartphone users' mobility, such as the strong spatial and temporal localities that should be considered when designing the related protocols and algorithms.
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