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دسته بندی:
یادگیری ماشین - machine learning
سال انتشار:
2019
عنوان انگلیسی مقاله:
On improving the lifespan of wireless sensor networks with fuzzy based clustering and machine learning based data reduction
ترجمه فارسی عنوان مقاله:
بهبود طول عمر شبکه های حسگر بی سیم با خوشه بندی مبتنی بر فازی و کاهش داده های مبتنی بر یادگیری ماشین
منبع:
Sciencedirect - Elsevier - Applied Soft Computing Journal, 83 (2019) 105610: doi:10:1016/j:asoc:2019:105610
نویسنده:
S. Radhika a,∗, P. Rangarajan b
چکیده انگلیسی:
A useful approach to increase the lifetime of wireless sensor networks is clustering. Exchange of
messages due to successive and recurrent reclustering burdens the sensor nodes and causes power
loss. This paper presents a modified clustering methodology that diminishes the overhead in clustering
and message exchanges thereby effectively scheduling the clustering task. The network is clustered
subject to the remaining energy of sensor nodes. Energy based parameters decide cluster head nodes
and ancillary nodes and the member nodes are linked with them. The roles of the head nodes of
the cluster are interchanged depending on the nodes’ states. Reclustering of nodes is accomplished to
achieve minimum energy consumption by calculating the update cycle using a fuzzy inference system.
The average sensed data rate of cluster members, the distance at which the member nodes are from
the sink and the power of cluster head nodes are counted to achieve better energy saving. Cluster
member nodes apply machine learning at regular intervals to classify data based on their similarity.
The classified data are transmitted to the cluster head after a reduction in the number of message
transfers. The proposed method improves the energy usage of clustering and data transmission.
Keywords: Wireless sensor networks | Machine learning | Clustering | Network lifetime | Fuzzy | Energy efficiency
قیمت: رایگان
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