Search Results - (( a distribution using algorithm ) OR ( based optimization sensor algorithm ))
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1
Cluster head selection optimization in wireless sensor network via genetic-based evolutionary algorithm
Published 2020“…Genetic-based evolutionary algorithms such as Genetic Algorithm (GA) and Differential Evolution (DE) have been popularly used to optimize cluster head selection in WSN to improve energy efficiency for the extension of network lifetime. …”
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Multi-mobile agent itinerary planning algorithms for data gathering in wireless sensor networks: a review paper
Published 2017“…Typically, in data gathering based on mobile agent, it is an important and essential step to find out the optimal itinerary planning for the mobile agent. …”
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3
Clustering Methods For Cluster-Based Routing Protocols In Wireless Sensor Networks: Comparative Study
Published 2017“…Our objective is exploring the literature to present a brief discussion of these algorithms, as well as examine and compare some of distributed, centralized and hybrid clustering algorithm based on several attributes. …”
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Metaheuristic optimization techniques for localization in outdoor wireless sensor networks: a comprehensive review
Published 2025“…This paper serves as a comprehensive background on localization algorithms and methods used in wireless sensor networks, offering insights for researchers to develop efficient localization algorithms tailored to specific application requirements in diverse work environments.…”
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5
Adaptive Algorithm for Optimal Route Configuration in Multi-Hop Wireless Sensor Network
Published 2017“…This paper proposes an optimal route configuration technique based on an adaptive genetic algorithm in which the architecture of multi-hop wireless sensor network is considered as a distributed computing infrastructure. …”
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Wireless sensor network deployment performance based on FOA, PSO and TPSMA / Nurhidayah Kamal Akbar, Husna Zainol Abidin, and Ahmad Ihsan Mohd Yassin
Published 2019“…One of the crucial challenges in deploying a Wireless Sensor Network (WSN) is the position of the sensor nodes. …”
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7
Machine learning in botda fibre sensor for distributed temperature measurement
Published 2023“…One of the methods that were proven to be successfully deployed in many industrial sections is fibre-based distributed sensing. Fibre optic cable laid alongside power cable may be used as a temperature sensor as temperature affect light scattering in the fibre and can be measured. …”
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Indoor localization system using particle swarm optimization
Published 2015“…This technique is a stochastic optimization based on the movement and velocity of particles. …”
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Accurate range free localization in multi-hop wireless sensor networks
Published 2019“…Simulation and experimental results show a substantial performance gain achieved by our proposed localization algorithm in wireless sensor networks. …”
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10
A spawn mobile agent itinerary planning approach for energy-efficient data gathering in wireless sensor networks
Published 2017“…The MA-based approach employs two algorithms: Single-agent Itinerary Planning (SIP) and Multi-mobile agent Itinerary Planning (MIP) for energy-efficient data gathering. …”
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Improving robot Darwinian particle swarm optimization using quantum-behaved swarm theory for robot exploration and communication / Duaa Mehiar
Published 2021“…In terms of convergence time, the experiment done shows the QRDPSO algorithm is faster to reach an optimal solution than the RDPSO algorithm. …”
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Smart geographical routing protocol achieving high QoS and energy efficiency based for wireless multimedia sensor networks
Published 2021“…To meet the demand for higher throughput and real-time characteristics of multimedia contents, the routing protocol need to be simplified and optimized. In this paper, we present a routing algorithm that provides a low end-to-end packet delay and low packet loss, referred to as smart, greedy forwarding algorithm based on throughput and energy-awareness (SGFTEM). …”
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Tracking moving targets in wireless sensor networks using extended diffusion strategies of distributed Kalman filter
Published 2013“…The proposed algorithms provide precise state estimates in a moment as global state estimates using various updates at each step. …”
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Optimized range-free localization scheme using autonomous groups particles swarm optimization for anisotropic wireless sensor networks
Published 2023“…Location information is a required concern for localization-based service application in the field of wireless sensor networks (WSNs). …”
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15
The comparison study among optimization techniques in optimizing a distribution system state estimation
Published 2017“…A consensus based static state estimation strategy for radial power distribution systems is proposed in this research. …”
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Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband
Published 2014“…We investigate the detection capability based on the fuzzy Q-learning (FQL) algorithm and evaluate it using distribute denial of service attacks (DDoS). …”
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Autonomous flight algorithm of a quadcopter sensing system for methane gas concentration measurements at landfill site
Published 2018“…During the experimentation, accurate methane gas concentration measurements at landfill sites were obtained using the algorithm for autonomous flight, with the implementation of optimal quadcopter flight parameters and gas sensor mounting arrangements. …”
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18
Energy balancing mechanisms for decentralized routing protocols in wireless sensor networks
Published 2012“…The first scheme is a SensorAnt, which is a self-optimization mechanism for WSN. …”
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Supervised deep learning algorithms for process fault detection and diagnosis under different temporal subsequence length of process data
Published 2025“…Deep learning algorithms were widely used among all the data-driven algorithms. …”
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Estimation of core size distribution of magnetic nanoparticles using high-Tc SQUID magnetometer and particle swarm optimizer-based inversion technique
Published 2023“…In this work, the core size estimation technique of magnetic nanoparticles (MNPs) using the static magnetization curve obtained from a high-Tc SQUID magnetometer and a metaheuristic inversion technique based on the Particle Swarm Optimizer (PSO) algorithm is presented. …”
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