Title of article
Routing in a Wireless Multilayer Physical Network by Balanced Utilization Approach and Minimum Energy Using a Firefly Optimization Algorithm
Author/Authors
Nadali, Abolqasem Garmsar Islamic Azad University, Semnan, Iran
Pages
14
From page
73
To page
86
Abstract
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.
Keywords
Wireless Sensor Network , Body Sensor Network , Meta-heuristic Methods , Glow Worm Algorithm , Medicine
Journal title
Journal of Modern Processes in Manufacturing and Production
Serial Year
2019
Record number
2522288
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