دسته بندی:
اینترنت اشیاء - Internet of Things
سال انتشار:
2022
عنوان انگلیسی مقاله:
Wireless Sensor Network coverage optimization based on Yin–Yang pigeon-inspired optimization algorithm for Internet of Things
ترجمه فارسی عنوان مقاله:
بهینه سازی پوشش شبکه حسگر بی سیم بر اساس الگوریتم بهینه سازی الهام گرفته از کبوتر یین یانگ برای اینترنت اشیا
منبع:
ScienceDirect- Elsevier- Internet of Things, 19 (2022) 100546: doi:10:1016/j:iot:2022:100546
نویسنده:
Jianghao Yin
چکیده انگلیسی:
As an important technology of Internet of Things (IoT), wireless sensor network (WSN) has
the problem of low coverage caused by uneven nodes distribution. Aiming at the problem,
a WSN coverage optimization method based on the Yin–Yang pigeon-inspired optimization
algorithm (Yin–YangPIO) is proposed. Firstly, the good point set is introduced into initialization
phase which makes pigeon population more evenly distributed in the solution space; then, Yin–
Yang-pair optimization algorithm (YYPO) and pigeon-inspired optimization algorithm (PIO) are
combined, and different strategies are used in the map and compass operator and the landmark
operator to improve the optimization ability; later on, the opposition-based learning is added to
PIO to expand the search range; finally, several functions are selected to prove the optimization
ability of the Yin–YangPIO. Through three sets of WSN coverage optimization experiments with
different parameters, the effectiveness of the proposed method in WSN coverage optimization
is demonstrated.
Keywords: Wireless sensor network | Pigeon-inspired optimization algorithm | Yin–Yang-pair optimization algorithm | Opposition-based learning | Internet of Things | شبکه حسگر بی سیم | الگوریتم بهینه سازی الهام گرفته از کبوتر | الگوریتم بهینه سازی جفت یین یانگ | یادگیری مبتنی بر مخالفت | اینترنت اشیا
قیمت: رایگان
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