On the benefit of using tight frames for robust data transmission and compressive data gathering in wireless sensor networks

Wei Chen, Miguel R. D. Rodrigues, Ian J. Wassell
2012 2012 IEEE International Conference on Communications (ICC)  
Compressive sensing (CS), a new sampling paradigm, has recently found several applications in wireless sensor networks (WSNs). In this paper, we investigate the design of novel sensing matrices which lead to good expected-case performance -a typical performance indicator in practice -rather than the conventional worst-case performance that is usually employed when assessing CS applications. In particular, we show that tight frames perform much better than the common CS Gaussian matrices in
more » ... of the reconstruction average mean squared error (MSE). We also showcase the benefits of tight frames in two WSN applications, which involve: i) robustness to data sample losses; and ii) reduction of the communication cost.
doi:10.1109/icc.2012.6363655 dblp:conf/icc/0016RW12 fatcat:z7pwcobe35ehxfc4ymipsxaapi