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[1]
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A Critical Analysis of Artificial Intelligence Based Congestion Control Mechanisms in WSN
2022 3rd International Conference for Emerging Technology (INCET),
2022
DOI:10.1109/INCET54531.2022.9824422
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[2]
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Improved Localization Algorithm Using Hybrid Firefly Genetic Algorithm in Wireless Sensor Network
2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES),
2022
DOI:10.1109/ICSES55317.2022.9914368
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[3]
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Improving Optimization Prowess of Ant Colony Algorithm Using Bat Inspired Algorithm
2022 5th Information Technology for Education and Development (ITED),
2022
DOI:10.1109/ITED56637.2022.10051478
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[4]
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Improving Optimization Prowess of Ant Colony Algorithm Using Bat Inspired Algorithm
2022 5th Information Technology for Education and Development (ITED),
2022
DOI:10.1109/ITED56637.2022.10051478
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[5]
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ECO-BAT: A New Routing Protocol for Energy Consumption Optimization Based on BAT Algorithm in WSN
Computers, Materials & Continua,
2021
DOI:10.32604/cmc.2020.012116
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[6]
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An exploratory study of congestion control techniques in Wireless Sensor Networks
Computer Communications,
2020
DOI:10.1016/j.comcom.2020.04.032
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[7]
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A Comparative Study of Hybrid Optimized Algorithms for Congestion Control in Wireless Sensor Network
2020 International Conference on Communication and Signal Processing (ICCSP),
2020
DOI:10.1109/ICCSP48568.2020.9182194
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[8]
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Soft Computing and Signal Processing
Advances in Intelligent Systems and Computing,
2019
DOI:10.1007/978-981-13-3393-4_17
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[9]
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Numerical Optimization of the Energy Consumption for Wireless Sensor Networks Based on an Improved Ant Colony Algorithm
IEEE Access,
2019
DOI:10.1109/ACCESS.2019.2930408
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[10]
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Performance Parameter Analysis of Congestion Control in Wireless Sensor Networks
2019 4th International Conference on Information Systems and Computer Networks (ISCON),
2019
DOI:10.1109/ISCON47742.2019.9036302
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[11]
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Swarm intelligence-based energy-efficient data delivery in WSAN to virtualise IoT in smart cities
IET Wireless Sensor Systems,
2018
DOI:10.1049/iet-wss.2018.5143
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