پایان نامه دستیابی به کیفیت سرویس در شبکه های حسگر بیسیم با استفاده از آتوماتا های یادگیر سلولی

فهرست و منابع پایان نامه دستیابی به کیفیت سرویس در شبکه های حسگر بیسیم با استفاده از آتوماتا های یادگیر سلولی

فهرست:

چکیده 8

1-   مقدمه  9

1-1-   شبکه های حسگر بی سیم. 9

1-1-1-    مسائل مطرح در شبکه های حسگر بی سیم. 12

1-1-2-    پوشش محیط در شبکه های حسگر بی سیم. 14

1-1-3-    خوشه بندی در شبکه های حسگر بی سیم. 15

1-1-4-    تجمیع داده ها در شبکه های حسگر. 16

1-2-   کیفیت سرویس در شبکه های حسگر بی سیم. 17

1-2-1-    کیفیت سرویس در شبکه های داده ای سنتی.. 19

1-2-2-    کیفیت سرویس در شبکه های حسگر بی سیم. 21

1-3-   آتوماتای یادگیر. 24

1-3-1-    آتوماتای یادگیر. 26

1-3-2-    معیار‌های رفتار اتوماتای یادگیر. 29

1-3-3-    الگوریتمهای یادگیری.. 30

1-3-4-    آتوماتای یادگیر با عملهای متغیر. 34

1-4-   آتوماتای یادگیر سلولی.. 35

1-4-1-    آتوماتای سلولی   35

1-4-2-    آتوماتای یادگیر سلولی (CLA) 39

1-5-   اهداف پایان نامه و ساختار آن. 42

2-   پوشش محیط در شبکه های حسگر بی سیم با استفاده از آتوماتاهای یادگیرسلولی   44

2-1-   مقدمه                    44

2-1-1-    اشکال مختلف طراحی.. 45

2-2-   دسته بندی مسائل پوشش در شبکه های حسگر. 46

2-2-1-    پوشش ناحیه ای   47

2-2-2-    پوشش نقطه ای   50

2-2-3-    پوشش مرزی    51

2-3-   روش پوشش CCP. 53

2-3-1-    فرضیات مسئله  53

2-3-2-    تشریح روش    53

2-4-   حل مسئله پوشش(k-پوششی ) با استفاده از آتوماتاهای یادگیر. 55

2-4-1-    فرضیات و مدل مسئله. 57

2-4-2-    روش تشخیص افزونه بودن نود حسگر. 58

2-4-3-    شبیه سازی          68

2-5-   جمع بندی        75

3-   خوشه بندی در شبکه های حسگر بی سیم با استفاده از آتوماتاهای یادگیر سلولی   76

3-1-   مقدمه                    76

3-2-   کارهای انجام شده 80

3-2-1-    پروتکل خوشه بندی LEACH.. 81

3-2-2-    پروتکل خوشه بندی HEED.. 84

3-3-   خوشه بندی در شبکه های حسگر بی سیم با استفاده از آتوماتاهای یادگیر. 89

3-3-1-    روش خوشه بندی پیشنهادی.. 90

3-3-2-    شبیه سازی            98

3-4-   جمع بندی        103

4-   تجمیع داده ها در شبکه های حسگر با استفاده از آتوماتاهای یادگیر سلولی 104

4-1-   مقدمه                    104

4-2-   کارهای انجام گرفته. 105

4-3-   تجمیع داده ها در شبکه های حسگر با استفاده از اتوماتاهای یادگیر. 108

4-3-1-    بیان مسئله و مفروضات آن. 109

4-3-2-    تشریح روش پیشنهادی.. 111

4-4-   شبیه سازی        115

4-4-1-    ازمایش اول      118

4-4-2-    ازمایش دوم        118

4-5-   جمع بندی        119

5-   نتیجه گیری.. 120

6-   پیوست الف: شبکه های حسگر بی سیم. 121

6-1-   تاریخچه شبکه های حسگر. 121

6-2-   ساختار هر گره حسگر. 122

6-2-1-    اجزاء درونی یک گره حسگر. 122

6-2-2-    محدودیتهای سخت افزاری یک گره حسگر. 124

6-3-   پشته پروتکلی  125

6-4-   مزایای شبکه های حسگر بیسیم. 126

6-5-   کاربردهای شبکه های حسگر بیسیم. 128

7-   پیوست ب:آتوماتای یادگیرسلولی.. 132

7-1-   تاریخچه آتوماتای یادگیر. 132

7-2-   معیار‌های رفتار اتوماتای یادگیر. 133

7-3-   آتوماتای یادگیر با عملهای متغیر. 135

7-4-   آتوماتای یادگیر تعقیبی.. 136

7-5-   آتوماتای یادگیر سلولی (CLA) 145

7-6-   آتوماتای یادگیر سلولی باز(OCLA) 148

7-7-   آتوماتای یادگیر سلولی ناهمگام (ACLA) 149

8-   پیوست ج: شرح نرم افزار jsim و پیاده سازی الگوریتمهای پیشنهادی با آن  151

8-1-   مقدمه                    151

8-2-   شبیه ساز jsim   152

8-3-   پیاده سازی الگوریتم خوشه بندی پیشنهادی.. 153

8-4-   پیاده سازی الگوریتم پوشش پیشنهادی.. 175

مراجع. 180

 

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