The traditional optical networks-on-chip (ONoCs) communication systems is susceptible to crosstalk noise, especially the Wavelength Division Multiplexing (WDM) based ONoCs with nonlinear noise caused by four-wave mixing (FWM) effects. Crosstalk noise greatly reduces the performance and improves the bit error rate (BER) of the ONoCs. In this paper, a low BER communication system in ONoCs based on linear block codes is proposed. Firstly, we designed a all-optical linear block codes generator based on microring resonators(MRRs) to encode the information transmitted in the ONoCs before transmission. Secondly, a retransmission module is established that can resend the code groups that cannot be corrected. Combined with the error detection and error correction features of the linear block code, the BER of the communication in ONoCs can be effectively reduced. Finally, we verify the effectiveness of the proposed method through simulation. The simulation results show that compared with the traditional WDM-based ONoCs, applying the proposed system to ONoCs can greatly reduce the communication BER and effectively improve the communication performance of ONoCs.
Digital image facilitates further cultural exchanges while its potential safety hazards is becoming gradually aus- tere. Therefore assembling the characteristic superiorities of optical chaos and embedded hardware, experimental implementation of image encryption is of great academic value and application prospect. In this paper, we ex- perimental implement a color image encryption system based on optical chaos with ARM-embedded hardware. A vertical-cavity surface emitting laser (VCSEL) subject to positive optoelectronic feedback is utilized in the experiment, and the chaotic signal is gained under suitable parameters. The chaotic optical signal is trans- formed into optical chaotic data through an analog-to-digital converter. In our experiment, optical chaotic data dominates the image encryption process where the improved gravity model and the double sine map are served to encrypt the color image. The encrypted image can be conveyed securely through cloud services, and then our hardware board can inerrably decipher the encrypted image. Experimental results visibly illustrate that we successfully realized the encryption of color images.
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