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QoS aware route discovery in wireless networks using Genetic Algorithm

اكتشاف المسار الأفضل في شبكات الانترنت اللاسلكية باستخدام الخوارزمية الجينية

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 Publication date 2015
and research's language is العربية
 Created by Shamra Editor




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Route discovery in infrastructure based network is an important problem. Normally, route selection or route discovery is done based on the shortest path principle. In infrastructure based networks، a number of issues for route discovery need to be addressed as the packet flow are prone to errors making the routing operation failure. Reliability, for example، is an important issue for route discovery. Ensuring Quality of Service (QoS) is important and is to be taken care while forwarding a packet flow. In this paper، a model for route discovery in infrastructure based networks using GA is being proposed. Out of many paths available from the gateway of the network to the final destination, the one is selected which satisfies the desired QoS. Two important QoS parameters، path loss and processing time at the router (Base Station), have been considered. The experimental results for both the QoS parameters reveal the efficacy of the model.


Artificial intelligence review:
Research summary
تتناول هذه الورقة البحثية مشكلة اكتشاف المسار الأفضل في شبكات الإنترنت اللاسلكية باستخدام الخوارزمية الجينية. تُعتبر عملية إيجاد المسار الأمثل من المسائل الهامة في شبكات الإنترنت اللاسلكية، حيث يتم عادةً اختيار المسار بناءً على مبدأ المسار الأقصر. ومع ذلك، فإن هذا النهج قد لا يكون دائمًا فعالًا نظرًا لاحتمالية تعرض رزم المعطيات للأخطاء، مما يؤدي إلى فشل عملية التوجيه. لذلك، تم اقتراح نموذج يعتمد على الخوارزمية الجينية لاكتشاف المسار الأمثل الذي يحقق نوعية الخدمة المطلوبة. تم أخذ بارامترين من بارامترات نوعية الخدمة بعين الاعتبار وهما فقد المسار وزمن المعالجة في الموجه. أظهرت النتائج التجريبية كفاءة النموذج المقترح في تحسين أداء الشبكة من خلال اختيار المسار الأمثل بناءً على هذه البارامترات.
Critical review
تُعد الورقة البحثية ذات أهمية كبيرة في مجال تحسين أداء شبكات الإنترنت اللاسلكية، إلا أنه يمكن توجيه بعض الملاحظات النقدية. أولاً، لم يتم تناول تأثير التداخل بين الإشارات اللاسلكية بشكل كافٍ، وهو عامل مهم يمكن أن يؤثر على أداء الشبكة. ثانيًا، النموذج المقترح يعتمد على فرضيات معينة مثل الشكل السداسي للخلايا، والتي قد لا تكون واقعية في جميع الحالات. ثالثًا، لم يتم مقارنة النموذج المقترح بشكل كافٍ مع نماذج أخرى مستخدمة في المجال، مما يجعل من الصعب تقييم فعاليته بشكل دقيق. على الرغم من هذه النقاط، فإن البحث يقدم إسهامًا مهمًا في تحسين نوعية الخدمة في شبكات الإنترنت اللاسلكية باستخدام الخوارزمية الجينية.
Questions related to the research
  1. ما هي المشكلة الرئيسية التي تتناولها الورقة البحثية؟

    المشكلة الرئيسية هي اكتشاف المسار الأفضل في شبكات الإنترنت اللاسلكية باستخدام الخوارزمية الجينية مع تحسين نوعية الخدمة.

  2. ما هي البارامترات التي تم أخذها بعين الاعتبار في النموذج المقترح؟

    تم أخذ بارامترين بعين الاعتبار وهما فقد المسار وزمن المعالجة في الموجه.

  3. ما هي الفرضيات التي اعتمد عليها النموذج المقترح؟

    اعتمد النموذج على فرضيات مثل الشكل السداسي للخلايا وأن البوابة يمكن أن تتواصل لاسلكيًا مع المحطات القاعدية المواجهة لها.

  4. ما هي النقاط النقدية التي يمكن توجيهها للورقة البحثية؟

    من النقاط النقدية عدم تناول تأثير التداخل بين الإشارات اللاسلكية بشكل كافٍ، والاعتماد على فرضيات قد لا تكون واقعية، وعدم مقارنة النموذج بشكل كافٍ مع نماذج أخرى.


References used
A.T. Campbell، J. Gomez، S. Kim، A.G. Valko، C.-Y. Wan and Z.R. Turanyi، “Design، implementation، and evaluation of cellular IP”، IEEE personal Communications، vol. 7، no. 4،Aug. 2000، pp. 42 – 49
Gelenbe، E. Liu، P. Laine، J.، “Genetic Algorithms for Route Discovery”، IEEE Transactions on Systems، Man، and Cybernetics—Part B: Cybernetics،2006، Vol. 36، No. 6، pp 1247- 1254
F.M. Abduljalil and S.K. Bodhe، “Integrated routing protocol (IRP) for integration of cellular IP and mobile ad hoc networks“، IEEE International Conference on Sensor Networks، Ubiquitous، and Trustworthy Computing، 5-7 June 2006، Taiwan، vol. 1، pp. 312-315
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