Stream Ciphers on Wireless Sensor Networks Yao Minglin; Ma Junshuang
2011 Third International Conference on Measuring Technology and Mechatronics Automation,
2011-Jan., Letnik:
3
Conference Proceeding
According to the network security problem of the wireless sensor networks, there are several severe challenges, such as limited processing power, storage, bandwidth, and energy. The stream cipher to ...be suitable for wireless sensor networks is proposed. And it composed of a 128-length linear feedback shift register (LFSR) and an 11-variable boolean function. The stream cipher algorithm is written with 8051 assembly code, and compared with the RC5 and A5. Through the comparison, the efficiency is satisfied. The code size of the stream cipher used in the wireless sensor networks is 578 bytes and the execution time is 0.024642 second and it faster than RC5 and A5 and uses less code size. Then the statistic testing and the known attack methods are used to test the security of the designed stream cipher. And the results can prove that its security is very high and suitable for wireless sensor networks.
In this paper, we discuss a method of using BP neural network to adjust PID parameters online for controlling the cement kiln temperature. First, according to the principle of the rotary kiln ...temperature, the BP_PID controller is designed in theory, and the neural network trainings and simulations in MATLAB are taken. Secondly, by using the top-down method in VHDL language, the modules of BP_PID controller which is the BP neural network forward transmission module, the error back propagation module, and the weigh and threshold adjustment module and so on are all implemented on FPGA chip. Eventually the simulations of program in Quartus are given in this paper. The simulation results show that this design is reasonable, the hardware implementation is correct, so it can create the conditions for a wide range of applications of hardware intelligent algorithm in the field of industrial.
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