Abstract:

Aiming at the dense of sensor nodes, the overlapping area of the node coverage was large, resulting in the problem of large data redundancy. Using temporal and spatial correlation of nodes collect data, we proposed a data fusion algorithm based on compressive sensing theory for wireless sensor network (WSN), and analyzed its performance via simulation experiment. The experimental results show that the proposed algorithm can not only reduce the data transmission amount of the cluster head and reduce the average energy consumption of node to prolong the survival time of the network, but also the performance is obviously better than the contrast algorithm.

Key words: wireless sensor network (WSN), data fusion algorithm, network time, compressed sensing