Channel Selection and Access Density Analysis Based on Random Matrix in WSN

摘要

In the paper, a kind of channel noise produced by nodes accessing channel was considered, and this noise was compared with Middleton Class-A noise. It was assumed that the time, space, frequency of channel accessed by nodes were randomized, hence the channel selection can be described as a random matrix. And the random matrix were approximately calculated and analyzed by Krylov subspace method and matrix integral method. Results of simulation and experiment show, the higher channel accessed rate make the lower package receiving probability in Rayleigh channel; and although the capacity of channel is increased with the access number of nodes, it holds at a limited value when the number is large enough. Results also prove the higher density of sensor nodes make the lower package receiving probability.