Regionalization Compressive Sensing for Optimizing Lifetime of Sensor Networks

Compressive Sensing (CS) has been adopted to address the center problem. However, this technology still has to waste much unnecessary energy. In this paper, we propose a hybrid CS approach through regionalizing the topology of the network to optimize its lifetime. To reduce transmission cost of sensor, the topology of the network is divided into several subareas, and CS is implemented respectively. Subsequently, measurements from each region are transported to the sink for recovery. To further guarantee its availability, we design a suitable measurement matrix to decrease the energy cost, and present an optimization approach to obtain effective routing with low cost. Experiments reveal that the proposed approach is superior to other CS-based methods and the two advanced issues further guarantee its feasibility.