… By using the recent results in the area of compressive sensing, we show how the nodes
can exploit the sparse representation of the parameter of interest in the transform domain in …

… in the mobile network, meaning, implementing radar sensing … in this paper showed that
compressive sensing (CS) is an … suitable signal formulation for sensing parameter estimation. …

… Part I: Compressive sensing framework Before we discuss how to employ CS in different
wireless network problems, the choice of a design technique is crucial and must be studied. In …

… sensor networks employing compressive sensing,” in … mobile sensor networks utilizing
compressed sensing,” Int. J. Complex Syst. … mobile sensor networks utilizing compressive sensing …

… compressed sensing. … compressed sensing for estimating missing RTT estimation in computer
networks. Results indicate that compressed sensing provides better estimation in networks …

… integration between Compressive Sensing (CS) and the random mobility of sensors in
distributed mobile sensor networks (MSN) to sparsely sample sensing areas. A small number of …

… a compressive sensing based approach called CSM to monitor with vehicular networks. Two
… should be provided over the highly dynamic network. To address the above issues, we first …

… In this paper, we study compressive sensing in situations where different … Compressive
Sensing (CACS), which incorporates the cost-diversity of samples into the compressive sensing …

… Compressive sensing is able to perform sensing and compression simultaneously to … the
network so as to save energy consumption at each sensor node. Various compressive sensing …

… This motivates the employment of compressive sensing based processing techniques for …
network infrastructure as efficiently as possible. A diverse range of sophisticated compressed …