Search Results - (( using factor sensor algorithm ) OR ( evolution optimization bat algorithm ))
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Multi-Swarm bat algorithm
Published 2023“…In this study a new Bat Algorithm (BA) based on multi-swarm technique called the Multi-Swarm Bat Algorithm (MSBA) is proposed to address the problem of premature convergence phenomenon. …”
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Quality of service and energy efficient aware (QEEA) scheduling algorithm for long term evolution (LTE) network / Nurulanis Mohd Yusoff
Published 2017“…Basically, the QEEA is based on the Time Domain (TD) and Frequency Domain (FD) scheduling where it is dependent on the QoS requirements to allocate resources. The proposed algorithm is compared against other scheduling algorithms, namely, the Channel and QoS Aware (CQA), Priority Set Scheduler (PSS), Proportional Fair (PF), Maximum Throughput (MT) and Blind Average Throughput (BAT). …”
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Energy-efficient two-stage chain protocol routing algorithm for wireless sensor networks
Published 2014“…Thus, it is difficult to replenish the energy source of the sensor node once it is installed. One of the factors that plays very important role in extending the wireless sensor networks lifetime is routing algorithm. …”
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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS
Published 2014“…The proposed algorithm is then implemented on hardware compounding of several IRIS sensor motes. …”
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Final Year Project -
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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS
Published 2014“…The proposed algorithm is then implemented on hardware compounding of several IRIS sensor motes. …”
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Investigation of relaxation factor in landweber iterative algorithm for electrical capacitance tomography
Published 2020“…It is crucial to select a suitable relaxation factor in iterative image reconstruction algorithms (e.g. …”
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Range sensor based local path planning algorithm for mobile robot in unknown static environment with beacon / Wan Ahmad Jailani Wan Ngah
Published 2013“…PointsBug is then compared with TangentBug because it is the best among The Bug Algorithm family using the range sensor for distance, duration, speed and reachability.…”
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A wireless interference-aware internet-of-things gateway placement framework with genetic algorithm approach
Published 2022“…However, there is no existing gateway placement scheme that considers all the factors of number of gateways, sensor nodes coverage, lateral bound (inter-gateway) connections, redundancy for fault tolerance and dynamic changes of sensor nodes’ location. …”
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Final Year Project / Dissertation / Thesis -
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Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor / Muhammad Nasrul Hakim Adenan
Published 2013“…The ANN makes the model learn the pattern by the sample of inputs and outputs to estimate results or to get more accurate data. Backpropagation is used as the learning method of ANN model. The algorithm will be developed in MATLAB. …”
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Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor: article / Muhammad Nasrul Hakim Adenan and Maizatul Zolkapli
Published 2013“…The ANN makes the model learn the pattern by the sample of inputs and outputs to estimate results or to get more accurate data. Backpropagation is used as the learning method of ANN model. The algorithm will be developed in MATLAB. …”
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Wearable based-sensor fall detection system using machine learning algorithm
Published 2021“…In this project, a wearable sensor-based fall detection system using a machine-learning algorithm had been developed. …”
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Proceeding Paper -
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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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IOT-based fertigation system / Mohamad Amir Furqan Darus
Published 2024“…Decision-making algorithms consider factors such as plant type, growth stage, soil composition, and environmental conditions. …”
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Student Project -
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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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A green clustering protocol for mobile sensor network using particle swarm optimization
Published 2016“…One of the methods that can improve the utilization of sensor nodes batteries is the clustering method. In this paper, we propose a green clustering protocol for mobile sensor networks using particle swarm optimization (PSO) algorithm. …”
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A green clustering protocol for mobile sensor network using particle swarm optimization
Published 2016“…One of the methods that can improve the utilization of sensor nodes batteries is the clustering method. In this paper, we propose a green clustering protocol for mobile sensor networks using particle swarm optimization (PSO) algorithm. …”
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Mobile data gathering algorithms for wireless sensor networks
Published 2014“…There are two prevailing strategies used to collect data in sensor networks. The first approach requires data packets to be serviced via multi-hop relay to reach the respective Base Station (BS). …”
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Delay and energy-aware routing for efficient data collection in wireless sensor networks / Ihsan Ali
Published 2024“…Thus, developing an effective routing strategy is key to extending battery life, conserving power, reducing transmission delays, and enhancing throughput. These factors necessitate the creation of an energy-efficient routing algorithm to minimize energy consumption and extend sensor lifetimes. …”
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TDMA scheduling analysis of energy consumption for iot wireless sensor network
Published 2019“…The algorithm use time division multiplexing algorithm together with hello message to allocate the neighbors and their energy level to find the best way to communicate and reduce packet drop, less signal interference and increase throughput. …”
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