COMPRESSION SCHEME FOR WIRELESS SENSOR NETWORKS USING A DISTRIBUTED SOURCE CODING ALGORITHM BASED ON RAPTOR CODE

Aceasta lucrare adreseaza problematica compresiei datelor in reelele de In this paper, the problem of distributed source coding for data compression in wireless sensor networks (WSN) is addressed. To achieve high levels of compression, a complete solution for network architecture, data correlation model and distributed source coding (DSC) algorithm is proposed. DSC is implemented using Raptor codes, the newest class of fountain codes. Rigorous tests proved better performance, in terms of compression rate, of the proposed solution compared to DSC schemes using LDPC or Turbo Codes. As tests also revealed, the differences in architecture between the proposed systematic version and the non-systematic version of Raptor code enable the implementation of DSC in a wide range of WSN applications.