Routing in a Wireless Multilayer Physical Network by Balanced Utilization Approach and Minimum Energy Using a Firefly Optimization Algorithm

Journal of Modern Processes in Manufacturing and Production

مقاله 9، دوره 8، شماره 2، مرداد 2019، صفحه 73-86   

نوع مقاله: Research Paper

نویسنده

Abolghasem Nadali^*

Computer and Electrical Engineering, Garmsar Islamic Azad University, Semnan, Iran

چکیده

Recent developments in the fields of electronic and digital telecommunications and creating low consumption compact circuits in nano dimensions have provided the ability to create sensors with low consumption power, small size, suitable cost, and various usages in the medical field. In past years, most of the researchers focused on sensor networks of the human body for designing wireless sensor, minimizing and matching them with live fibers of the body, lowering the consumption power, better signal processing, and communicational protocols and their security. Since the importance of sensor networks in the medical field, an entirely different method has been offered in this paper. It is based that we can manage nodes by changing the place of sensors, somehow that if the consumption powers of inside sensors are defined, then the power of all sensors will tend zero in a short period. Several various cost functions were offered based on the designed method, which created the most symmetrical kind of consumption and the lowest consumption in nodes. Then some optimality has been created in the selection of nodes in two modes of main and usual, by firefly ultra-complete algorithm. The offered method is better than the last methods because if the amounts nodes get increased, it will correctly keep its utility. After designing the costs function, the offered network has been implemented with software, and the results haves hown that in all fields, in terms of quality and consumption power form, the offered method has more utilization than other methods in the same terms.

کلیدواژه‌ها

Wireless Sensor Network؛ Body Sensor Network؛ Meta-heuristic Methods؛ Glow Worm Algorithm؛ Medicine

مراجع

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, Bart Braem

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, Ingrid Moerman

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, Chris Blondia

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, Elisabeth Reusens

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, Wout Joseph

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, Piet Demeester

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