Reconstruction of temporal-spatial profile from participatory sensing data using Compressive Sensing
نویسندگان
چکیده
The reconstruction of an unknown temporal-spatial profile from participatory sensing data poses a number of challenges due to uncoordinated user movement and possibly low user involvement. This paper considers the problem of reconstructing such a profile from participatory sensing data by exploiting the theory of compressive sensing. In particular we study the impact of the number of users and opportunistic user communication on the reconstruction accuracy. Our simulation results show that, in the case where each user is limited to return one projection, a small amount of local data exchange between the users can improve the reconstruction accuracy.
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