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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
Optimal LEACH protocol with modified bat algorithm for big data sensing systems in Internet of Things
ترجمه فارسی عنوان مقاله:
پروتکل LEACH بهینه با الگوریتم خفاش اصلاح شده برای سیستم های سنجش از داده های بزرگ در اینترنت اشیا
منبع:
Sciencedirect - Elsevier - J: Parallel Distrib: Comput:, Corrected proof: doi:10:1016/j:jpdc:2017:12:014
نویسنده:
Zhihua Cui a, Yang Cao a, Xingjuan Cai a,*, Jianghui Cai a, Jinjun Chen b
چکیده انگلیسی:
Big data sensing system (BDSS) plays an important role in the Internet of Things, in which how to reduce
power consumption is one crucial problem. Currently, low energy adaptive clustering hierarchy (LEACH)
protocol is one well-known algorithm used in BDSS with low energy cost. In this paper, a new variant of
bat algorithm combined with centroid strategy is introduced. Three different centroid strategies with six
different designs are introduced. In addition, the velocity inertia-free update equation is also provided.
The optimization performance is verified by CEC2013 benchmarks in those designs against standard BA.
Simulation results prove that the bat algorithm with weighted harmonic centroid (WHCBA) strategy is
superior to other algorithms. By integrating WHCBA into LEACH protocol, we develop a two-stage cluster
head node selection strategy and can save more energy compared to the standard LEACH protocol.
Keywords: LEACH protocol ، Bat algorithm with centroid strategy ، Inertia-free ، Big data sensing systems
قیمت: رایگان
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