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Article
Enhanced Performance of Consensus Wireless Sensor Controlled System via Particle Swarm Optimization Algorithm
تحسين اداء منظومة مسيطرة للكشاف اللاسلكي الجمعي بواسطة خوارزمية حشد الجسيمات الامثلية

Authors: Karar Ghalib كرارغالب خطار --- Ahmed Mudheher Hasan أحمد مظهر حسن --- Safanah Mudheher Raafat سفانة مظهر رأفت
Journal: Journal of Engineering مجلة الهندسة ISSN: 17264073 25203339 Year: 2017 Volume: 23 Issue: 9 Pages: 63-77
Publisher: Baghdad University جامعة بغداد

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Abstract

This paper describes the application of consensus optimization for Wireless Sensor Network (WSN) system. Consensus algorithm is usually conducted within a certain number of iterations for a given graph topology. Nevertheless, the best Number of Iterations (NOI) to reach consensus is varied in accordance with any change in number of nodes or other parameters of graph topology. As a result, a time consuming trial and error procedure will necessary be applied to obtain best NOI. The implementation of an intelligent optimization can effectively help to get the optimal NOI. The performance of the consensus algorithm has considerably been improved by the inclusion of Particle Swarm Optimization (PSO). As a case study, variable number of nodes in a network with a random graph topology has been considered. Simulation results show that significant reduction in the NOI and power consumption has been achieved, where it decreased the NOI about 40 iteration; when using PSO for different number of nodes in the specified network.

هذا البحث يصف تطبيق تحسين التوافق لشبكة الاستشعار اللاسلكية. وتجرى خوارزمية التوافق عادة لعدد محدد من الخطوات لبنية الرسم البياني. ومع ذلك, فان افضل عدد تكرارات للتوصل لتوافق يختلف طبقا للتغيير بعدد العقد او المعاملات الاخرى لبنية الرسم البياني. كنتيجة لذلك, سيتم تطبيق اجراء الخطا والصواب للوصول الى افضل عدد من الخطوات. تنفيذ خوارزمية الامثلية الذكية يساعد بشكل فعال للحصول على افضل عدد من الخطوات. حيث تم تحسين اداء خوارزمية التوافق بشكل ملحوظ باستخدام طريقة حشد الجسيمات الامثلية. وكدراسة تحليلية, فان عدد مختلف من العقد قد اخذ بنظر الاعتبار في الشبكه لعدد عشوائي من بنية الرسم البياني وتبين النتائج المستحصلة من المحاكاة بتقليل ملحوظ بعدد الخطوات واستهلاك الطاقة وكذلك انخفض عدد الخطوات الى حوالي 40 خطوة باستخدام طريقة حشد الجسيمات الامثلية لعدد مختلف من العقد في شبكة محددة.


Article
Optimized Performance of Consensus algorithm in Multi Agent System Using PSO

Authors: Safanah Mudheher Raafat --- Ahmed Mudheher Hasan --- Teaba Wala Aldeen Khairi --- Karar Ghalib Ali
Journal: AL-NAHRAIN JOURNAL FOR ENGINEERING SCIENCES مجلة النهرين للعلوم الهندسية ISSN: 25219154 / eISSN 25219162 Year: 2018 Volume: 21 Issue: 2 Pages: 292-299
Publisher: Al-Nahrain University جامعة النهرين

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Abstract

This paper provides a theoretical framework for analysis of consensus algorithm for multi- agent networked systems considering the role of directed information flow. Improvement of the performance of the implemented consensus algorithm has been achieved by using Particle Swarm Optimization (PSO). Concepts of information consensus in networks and methods of convergence are applied as well. Our analysis framework is based on tools algebraic Graph Theory (GT). Simulation of multi-agent system and the performance of a consensus algorithm have been discussed. Acceleration the network while approaching the required goal has been accomplished and elimination of undesired swing that appears during the acceleration was proved.

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