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Random Number Generator (RNG) for Microcontrollers

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Random Number Generator (RNG) for Microcontrollers. Tom Dickens. The Boeing Company [email protected]. Introduction. RNG Wisdom Motivation for an RNG Other RNG Methods Requirements for a “Good” RNG Approaches Taken Testing Implementation Summary. RNG Wisdom…. - PowerPoint PPT Presentation
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Random Number Generator (RNG) for Microcontrollers Tom Dickens The Boeing Company [email protected]
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Page 1: Random Number Generator (RNG) for Microcontrollers

Random Number Generator(RNG) for Microcontrollers

Tom Dickens

The Boeing Company

[email protected]

Page 2: Random Number Generator (RNG) for Microcontrollers

Tom Dickens

Introduction

• RNG Wisdom• Motivation for an RNG• Other RNG Methods• Requirements for a “Good” RNG• Approaches Taken• Testing• Implementation• Summary

Page 3: Random Number Generator (RNG) for Microcontrollers

Tom Dickens

RNG Wisdom…

“Anyone who considers arithmetical methods of producing random digits is,

of course, in a state of sin.” John von Neumann (1903-1957).

“The generation of random numbers istoo important to be left to chance.”

Robert R. Coveyou, Oak Ridge National Laboratory in Tennessee.

Page 4: Random Number Generator (RNG) for Microcontrollers

Tom Dickens

Motivation For An RNGFor Microcontrollers

• More Interesting Robotic Behavior

• Avoid Stuck-In-A-Corner Logic

• Used In AI Techniques– Genetic Algorithms– Neural Networks– Fuzzy Logic

Page 5: Random Number Generator (RNG) for Microcontrollers

Tom Dickens

Other RNG Methods

• Hardware-Based (true) RNGs– White-Noise Source– Transistor Circuits

Our desire is to have a pseudo random number generator, as defined by…

Page 6: Random Number Generator (RNG) for Microcontrollers

Tom Dickens

Requirements - a “Good” RNG

• Key Requirements (detailed list in paper).– N = F(), where…– N is in the range 0 to 255– Large cycle of N’s before pattern repeats. – All values of N are generated the same number of

times in the cycle.– Windows of consecutive N’s in cycle meet…

• Constraints for Average, Min, and Max values.

– Small Code Size

Page 7: Random Number Generator (RNG) for Microcontrollers

Tom Dickens

Approaches Taken

• Table-Based Method– Define a table of 128 values.– Use EXOR to generate 128 other values.– Cycle through these 256 values 64

different ways.– Cycle length of 16,384.– Met the goodness criteria.– 62 bytes of code + 128 bytes for table =

190 total bytes. 4 bytes of RAM.

Page 8: Random Number Generator (RNG) for Microcontrollers

Tom Dickens

Approaches Taken

• Equation-Based Method– 2-byte seed value in RAM– seed = 181 * seed + 359– Return top 8 bits of seed.– Cycle length of 65,536.– Met the goodness criteria.– 25 bytes of code, 4 bytes of RAM.

Page 9: Random Number Generator (RNG) for Microcontrollers

Tom Dickens

Approaches Taken

Notes:

181 and 359 determined by a program searching for values to meet the goodness criteria.

Table method also used a program to find right 128 table values.

Page 10: Random Number Generator (RNG) for Microcontrollers

Tom Dickens

Generated Numbers

First 240 numbers: 1 255 117 4 73 222 125 232 15 167 21 110 230 252 49 27 35 65 133 50 218 156 132 185 223 239 99 114 197 223 22 226 226 208 81 76 71 229 135 182 203 4 237 226 1 207 119 85 60 170 216 82 145 187 134 223 211 228 179 190 152 202 84 116 50 209 28 68 182 28 128 52 248 145 181 6 139 210 172 63 196 68 28 34 183 10 119 181 56 9 242 186 219 229 129 182 243 2 216 237 149 132 106 98 148 78 108 218 134 5 210 217 189 13 80 163 78 137 89 59 13 94 34 102 141 48 159 168 35 99 131 69 227 27 68 64 161 59 20 94 241 104 232 35 38 6 115 211 85 56 43 113 81 228 66 194 176 172 172 74 196 244 31 77 162 226 13 206 30 88 171 146 203 251 237 29 254 47 135 179 203 23 236 87 6 153 81 206 66 87 170 156 213 181 171 5 209 217 199 12 10 165 51 118 22 190 227 199 71 136 138 67 178 39 158 237 43 126 81 138 69 50 152 158 85 167 38 109 111 0 113 250 103 34 171 11 208 177 201 33

Page 11: Random Number Generator (RNG) for Microcontrollers

Tom Dickens

Testing The Numbers

• Met The Defined Goodness Criteria

• Inspection

• Graphical Plots– Plot number pairs on 256x256 grid.

Page 12: Random Number Generator (RNG) for Microcontrollers

Tom Dickens

Testing

1024 pairs plotted

Page 13: Random Number Generator (RNG) for Microcontrollers

Tom Dickens

Testing

Half the pairs plotted

Page 14: Random Number Generator (RNG) for Microcontrollers

Tom Dickens

Testing

All pairs plotted

Page 15: Random Number Generator (RNG) for Microcontrollers

Tom Dickens

Testing

All pairs with another set of constants

Page 16: Random Number Generator (RNG) for Microcontrollers

Tom Dickens

Implementation –25 Bytes of 68HC11 Code

Random:PSHB ; (1,3) Remember the current value of B

* scratch = seed * multiplierLDAA #MULTIPLIER ; (2,2) A = #181LDAB SEED_LOW ; (2,3) B = the low byte of the seedMUL ; (1,10) D = A x BSTD RandomScratch ; (1,4) scratch = DLDAA #MULTIPLIER ; (2,2) A = #181LDAB SEED_HIGH ; (2,3) B = the high byte of the seedMUL ; (1,10) D = A x B

* low byte of MUL result is added to the high byte of scratchADDB RandomScratch ; (2,3) B = B + scratch_highSTAB RandomScratch ; (2,3) scratch = seed * 181

*LDD RandomScratch ; (2,4) D = scratchADDD #ADDER ; (3,4) D = D + 359STD RandomSeed ; (2,4) remember new seed value

* (A = SEED_HIGH from ADDD instruction)PULB ; (1,4) Restore the value of BRTS ; (1,5) A holds the new 8-bit random number

Page 17: Random Number Generator (RNG) for Microcontrollers

Tom Dickens

Summary

• RNG Studied

• RNG Goodness Criteria Developed

• Two RNG Methods Developed

• Both Methods Were Critiqued

• Equation-Based RNG Chosen For Number Coverage and Code Size

• 68HC11 Code Implemented and Tested


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