In this study, we propose a distributed and energy-efficient data storage
scheme, referred to as CStorage, for wireless sensor networks (WSNs) based on
compressive sensing (CS). CStorage requires much smaller number of
transmissions
compared to the existing algorithms by exploiting the compressibility of the
natural signals along with the broadcast property of wireless channels. In
CStorage, we utilize a light-weight data dissemination scheme such as
probabilistic broadcasting in conjunction with CS to store compressive sensing
measurements in network nodes. A data collector can query only small fraction
of nodes for their CS measurement and reconstruct all the data.