Jul 4, 2016 · Abstract: The specific capabilities of Wireless Sensor Networks (WSNs), such as fast deployment and flexibility, together with the low cost ...
Abstract: The specific capabilities of Wireless Sensor Networks (WSNs), such as fast deployment and flexibility, together with the low cost solutions that ...
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In this paper a dynamic clustering scheme is introduced where a task set of sensors is formed for each task by using quadtree based addressing. The number of ...
ABSTRACT: This paper presents four algorithms for QoSensing (4TQS) and routing on dynamics Wireless Sensor Networks. Since many types of researches held on ...
In this paper, we present a fuzzy-based data fusion approach for WSN with the aim of increasing the QoS whilst reducing the energy consumption of the sensor ...
An efficient intelligent data fusion algorithm named GAPSOBP is put forward which integrating BP neural network, genetic algorithm and particle swarm ...
Feb 14, 2019 · This paper proposes a new data fusion algorithm based on Hesitant Fuzzy Entropy (DFHFE). The new algorithm aims to reduce the collection of ...
The simulation results show that the WSN data fusion algorithm based on deep learning model reduces the network energy consumption, prolongs the network ...
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The algorithm improves the traditional clustering routing protocol and introduces a deep learning model to build the data fusion algorithm based on the ...
Jan 28, 2015 · We propose a data fusion approach to improve the performance of a WSN with respect to the level of QoS generated about the events of interest.
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