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Tracking animal life in the natural reserves by using hybrid wireless sensors networks

تتبع الحياة الحيوانية في المحميات الطبيعية باستخدام شبكات الحساسات اللاسلكية الهجينة

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 Publication date 2018
and research's language is العربية
 Created by Shamra Editor




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The great development of mobile wireless sensor networks has many very important applications. One of the most important applications that has attracted scientists' attention recently is to track animals in their homes to follow the behavior and lives of some endangered animals, but monitoring animals activities in the forest is a very difficult task, especially if the animals to be monitored are teeny, therefore we cannot use the traditional tracking systems ) like GPS, As well as the harsh and dangerous nature of the forest make the use of wireless sensor networks the best solution, especially that sensors are low-cost, small size, which made them suitable for such tasks, in this research we will study new way to track a group of partridge where sensors are placed on these birds to observe their life and behavior ,The important challenge in this research is to know the location of these mobile birds to be able to the help them in appropriate time , so will introduce a new method that provides us with acceptable accuracy, a simple, easy, inexpensive and low energy consumption compared with other methods of animals tracking ,based on a set of predefined reference nodes, where sensors information is sent to a gathering center through these reference nodes ,then Analyze it and use it to the approximate location of the animals. We will evaluate this method using Network Simulator (NS2).


Artificial intelligence review:
Research summary
يتناول البحث استخدام شبكات الحساسات اللاسلكية الهجينة لتتبع الحياة الحيوانية في المحميات الطبيعية، مع التركيز على طيور الحجل. يبرز البحث التحديات التي تواجه مراقبة الحيوانات الصغيرة في البيئات القاسية مثل الغابات، حيث تكون أنظمة التتبع التقليدية مثل GPS غير فعالة. يقدم البحث طريقة جديدة تعتمد على مجموعة من العقد المرجعية المعروفة الموقع مسبقاً، حيث يتم إرسال معلومات الحساسات المتحركة إلى مجمع مركزي لتحليلها وتحديد الموقع التقريبي للحيوان. تم تقييم هذه الطريقة باستخدام محاكي الشبكات NS2، وأظهرت النتائج دقة جيدة في تحديد المواقع مع استهلاك منخفض للطاقة وتكلفة أقل مقارنة بالطرق التقليدية. كما يناقش البحث أهمية تحديد المواقع في شبكات الحساسات اللاسلكية، ويستعرض تقنيات تخمين المسافة وخوارزميات التموضع المختلفة. يختتم البحث بتقديم نتائج المحاكاة التي أظهرت أن الخوارزمية المقترحة تقدم دقة جيدة في تحديد المواقع مع خطأ تموضع مقبول يتراوح بين 4 إلى 11 متر.
Critical review
دراسة نقدية: يقدم البحث مساهمة قيمة في مجال تتبع الحيوانات باستخدام شبكات الحساسات اللاسلكية، ويتميز بتقديم طريقة مبتكرة منخفضة التكلفة وموفرة للطاقة. ومع ذلك، هناك بعض النقاط التي يمكن تحسينها. أولاً، قد تكون دقة تحديد المواقع المتوسطة التي تتراوح بين 4 إلى 11 متر غير كافية لبعض التطبيقات الحساسة التي تتطلب دقة أعلى. ثانياً، لم يتم مناقشة تأثير العوامل البيئية مثل الطقس والتضاريس بشكل كافٍ، والتي قد تؤثر على أداء الشبكة ودقة تحديد المواقع. أخيراً، يمكن أن يكون هناك حاجة لإجراء تجارب ميدانية إضافية للتحقق من فعالية الخوارزمية في بيئات مختلفة وظروف متنوعة.
Questions related to the research
  1. ما هي التحديات الرئيسية في مراقبة نشاط الحيوانات في الغابات؟

    التحديات تشمل صغر حجم الحيوانات المراد مراقبتها، الطبيعة القاسية والخطيرة للغابات، وعدم فعالية أنظمة التتبع التقليدية مثل GPS في هذه البيئات.

  2. ما هي الطريقة الجديدة التي يقدمها البحث لتتبع طيور الحجل؟

    الطريقة تعتمد على وضع حساسات على الطيور واستخدام مجموعة من العقد المرجعية المعروفة الموقع مسبقاً لإرسال معلومات الحساسات المتحركة إلى مجمع مركزي لتحليلها وتحديد الموقع التقريبي للحيوان.

  3. ما هي الفوائد الرئيسية لاستخدام شبكات الحساسات اللاسلكية في تتبع الحيوانات؟

    الفوائد تشمل انخفاض التكلفة، صغر حجم الحساسات، استهلاك منخفض للطاقة، وإمكانية نشرها في بيئات يصعب الوصول إليها.

  4. كيف تم تقييم فعالية الخوارزمية المقترحة في البحث؟

    تم تقييم فعالية الخوارزمية باستخدام محاكي الشبكات NS2، وأظهرت النتائج دقة جيدة في تحديد المواقع مع استهلاك منخفض للطاقة وتكلفة أقل مقارنة بالطرق التقليدية.


References used
CARCIA-HERNANDEZ,G.F;IBARGUENGOYTIA,P.H;CARCIAHERNANDEZ, J; PEREZ-DIAZ,J.A. Wireless Sensor Networks and Applications: a Survey. International Journal Of Computer Science and Network Security Mexico, Vol.7,No.3,2007,264-273
KUMAR,S; SHARMA,R; VANS,E. Localization For Wireless Sensor Networks: A Neural Network Approach. International Journal Of Computer Networks & Communications South Pacific, Vol.8,No.1,2016,61-69
SASIKUMAR,G; RAMAMOORTHY,H; MOHAMED,S. An Analysis On Animal Tracking Using Wireless Sensor. International Journal of Advanced Research in Computer Science and Software Engineering India,Vol.4,No.9,2014,155-160
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