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Address Vector Multi Hop (AV_MH) Algorithm for Localization in Wireless Sensor Networks

خوارزمية شعاع العناوين متعددة القفزات (AV-MH) لتحديد الموضع في شبكات الحساسات اللاسلكية

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 Publication date 2017
and research's language is العربية
 Created by مهند عيسى




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Localization is an essential process in many wireless sensors networks applications like environmental surveillance and forest fires detection, where sensors are usually randomly thrown in difficult to reach places, considering the limited wireless sensors capability in terms of energy availability and the capacity of computations a low cost and energy conservation algorithms are needed to determine the approximate position of the sensors. In this research a new algorithm was proposed ‘Address Vector Multi-Hop (AV_MH)’ to determine the position of the randomly deployed sensors, this algorithm is based on the idea of making benefit from short address assignment in networks that support hierarchical addressing, considering that the most important techniques used in the field of sensor networks such as ZigBee and 6LowPAN which depend on the IEEE802.15.4 standard support this type of addressing. The results showed the possibility of obtaining an approximate position of the wireless sensors in a rapid and inexpensive and cost-effective way in terms of the number of sent messages and required calculations.


Artificial intelligence review:
Research summary
تتناول هذه الورقة البحثية خوارزمية جديدة لتحديد الموضع في شبكات الحساسات اللاسلكية، والتي تُعرف بخوارزمية شعاع العناوين متعددة القفزات (AV_MH). تُعتبر عملية تحديد الموضع ضرورية في العديد من التطبيقات مثل مراقبة البيئة وكشف حرائق الغابات. تستند الخوارزمية المقترحة إلى الاستفادة من عملية توزيع العناوين القصيرة في الشبكات التي تدعم العنونة الهرمية، مثل شبكات ZigBee و6LowPAN التي تعتمد على المعيار IEEE802.15.4. تُظهر النتائج أن الخوارزمية قادرة على تحديد موضع تقريبي للحساسات بطريقة سريعة وغير مكلفة من حيث عدد الرسائل المرسلة والحسابات المطلوبة. تعتمد الخوارزمية على بناء الشبكة هرميًا وتوزيع العناوين، مما يُمكن الحساسات من تحديد موضعها بناءً على متوسط المسافة والميل للفروع التي تنتمي إليها. تُوفر الخوارزمية دقة مقبولة في تحديد الموضع وتُقلل من استهلاك الطاقة بفضل تقليل عدد الرسائل المرسلة.
Critical review
تُعد هذه الورقة البحثية خطوة مهمة في مجال تحديد الموضع في شبكات الحساسات اللاسلكية، إلا أن هناك بعض النقاط التي يمكن تحسينها. أولاً، تعتمد الخوارزمية بشكل كبير على توزيع العناوين الهرمي، مما قد يكون غير فعال في البيئات ذات التوزيع العشوائي الكبير للحساسات. ثانيًا، لم تتناول الورقة بشكل كافٍ تأثير العوامل البيئية المختلفة مثل التداخل الكهرومغناطيسي والعوائق الفيزيائية على دقة تحديد الموضع. ثالثًا، كان من الممكن تقديم مقارنة أكثر تفصيلًا بين الخوارزمية المقترحة والخوارزميات الأخرى الموجودة في الأدبيات لتوضيح الفروق والميزات بشكل أفضل. وأخيرًا، يُفضل إجراء تجارب ميدانية إضافية للتحقق من فعالية الخوارزمية في بيئات متنوعة ومعقدة.
Questions related to the research
  1. ما هي الخوارزمية المقترحة في الورقة البحثية؟

    الخوارزمية المقترحة هي خوارزمية شعاع العناوين متعددة القفزات (AV_MH) لتحديد الموضع في شبكات الحساسات اللاسلكية.

  2. ما هي الفائدة الرئيسية لاستخدام خوارزمية AV_MH؟

    الفائدة الرئيسية هي القدرة على تحديد موضع تقريبي للحساسات بطريقة سريعة وغير مكلفة من حيث عدد الرسائل المرسلة والحسابات المطلوبة، مما يُقلل من استهلاك الطاقة.

  3. ما هي التقنيات التي تدعم العنونة الهرمية المستخدمة في الخوارزمية؟

    التقنيات التي تدعم العنونة الهرمية المستخدمة في الخوارزمية هي شبكات ZigBee و6LowPAN التي تعتمد على المعيار IEEE802.15.4.

  4. ما هي النقاط التي يمكن تحسينها في البحث؟

    يمكن تحسين البحث من خلال تناول تأثير العوامل البيئية المختلفة على دقة تحديد الموضع، وتقديم مقارنة أكثر تفصيلًا بين الخوارزمية المقترحة والخوارزميات الأخرى، وإجراء تجارب ميدانية إضافية.


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