Search Results - (( java implications _ algorithm ) OR ( data selection ((sensor algorithm) OR (bat algorithm)) ))
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Delay and energy-aware routing for efficient data collection in wireless sensor networks / Ihsan Ali
Published 2024“…To address relay node selection and data scheduling issues, Energy-Efficient Scheduling (EES) and Energy-Efficient Un-Scheduling (EEUS) methods have been introduced using the Improved Discrete Bat Algorithm (IDBA) along with the Adaptive Warshal Floyd algorithm (AWF). …”
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Naive bayes-guided bat algorithm for feature selection.
Published 2013“…The performance of the proposed feature selection algorithm was investigated using twelve benchmark datasets from different domains and was compared to three other well-known feature selection algorithms. …”
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Naive Bayes-guided bat algorithm for feature selection
Published 2023“…The performance of the proposed feature selection algorithm was investigated using twelve benchmark datasets from different domains and was compared to three other well-known feature selection algorithms. …”
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Comparative Performance Analysis of Bat Algorithm and Bacterial Foraging Optimization Algorithm using Standard Benchmark Functions
Published 2014“…Owing to the fact that they are new and much of their relative performance are still unknown (as compared to other established meta-heuristic algorithms), Bacterial Foraging Optimization Algorithm (BFO) and Bat Algorithm (BA) have been adopted for comparison using the 12 selected benchmark functions. …”
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Application of augmented bat algorithm with artificial neural network in forecasting river inflow in Malaysia
Published 2024“…The bat algorithm (BA), a meta-heuristic approach, was used in this study to optimize the weights and biases of the artificial neural network (ANN) model. …”
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An enhanced binary bat and Markov clustering algorithms to improve event detection for heterogeneous news text documents
Published 2022“…To address such a problem, this research presents an enhanced ED model that includes improved methods for the crucial phases of the ED model such as Feature Selection (FS), ED, and summarization. This work focuses on the FS problem by automatically detecting events through a novel wrapper FS method based on Adapted Binary Bat Algorithm (ABBA) and Adapted Markov Clustering Algorithm (AMCL), termed ABBA-AMCL. …”
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Whale optimization algorithm based on tent chaotic map for feature selection in soft sensors
Published 2025“…The soft sensor was designed using several stages, including data collection, preprocessing, clustering, feature selection, and classification. …”
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Mobile data gathering algorithms for wireless sensor networks
Published 2014“…The third proposed algorithm achieves an adaptive data gathering strategy. …”
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Performance of various forecasting algorithms to reduce the number of transmitted packets by sensor node in wireless sensor networks
Published 2018“…Additionally, in terms of absolute error in the data at the sink, the EDCD1 algorithm shows the best performance with less average error at 2.2803 for all sensors compared to others algorithms.…”
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Cluster head selection algorithm using fuzzy logic in multi-tier Wireless Sensor Network for energy efficiency / Wan Isni Sofiah Wan Din
Published 2016“…Hence, this study proposes a new algorithm called Multi-Tier Protocol (MAP). MAP introduced clustering scheme to reduce the energy consumption of wireless sensor network in which, Fuzzy Logic used as tools to select the cluster head and multi-hop communication is used to route the data from the cluster head to the base station. …”
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An energy based cluster head selection unequal clustering algorithm with dual sink (ECH-DUAL) for continuous monitoring applications in wireless sensor networks
Published 2018“…In our algorithm, tentative cluster head is selected based on energy based timer, residual energy, node IDs and trust value. …”
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Cluster head selection algorithm using fuzzy logic in multi-tier Wireless Sensor Network for energy efficiency / Wan Isni Sofiah Wan Din
Published 2017“…Hence, this study proposes a new algorithm called Multi-Tier Protocol (MAP). MAP introduced clustering scheme to reduce the energy consumption of wireless sensor network in which, Fuzzy Logic used as tools to select the cluster head and multi-hop communication is used to route the data from the cluster head to the base station. …”
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Improving on the network lifetime of clustered-based wireless sensor network using modified leach algorithm
Published 2012“…Wireless sensor networks (WSNs) composed from a large number of sensor node with the ability to sense and process data in the physical world in a timely manner. …”
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Energy-efficient data transmission with clustering and compressive sensing in wireless sensor networks / Mukil Alagirisamy
Published 2020“…Wireless sensor nodes deployed in sensing field aggregate enormous amount of sensed data and transfer them to the sink. …”
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Predetermined path of mobile data gathering in wireless sensor networks based on network layout
Published 2014“…Data gathering is among the issues constantly acquiring attention in the area of wireless sensor networks (WSNs). …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
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Energy Efficient Technique for Cluster Head Selection and Data gathering in Wireless Sensor Network
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Performance evaluation of different data aggregation algorithms for different types of sensors in WSN based cluster
Published 2018“…In wireless sensor networks, data aggregation algorithms are used to extend the network lifetime Size of data transmission from the cluster head node to base station show a critical role in CH nodes energy consumption. …”
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