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Performance Analysis of the Adaptive Cuckoo Search Rate Optimization Scheme for the Congestion Control in the WSN

机译：WSN拥塞控制自适应咕咕搜索率优化方案的性能分析

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1. EEG/ERP Adaptive Noise Canceller Design with Controlled Search Space (CSS) Approach in Cuckoo and Other Optimization Algorithms [J] . IEEE/ACM transactions on computational biology and bioinformatics . 2013,第6期

机译：布谷鸟中具有受控搜索空间（CSS）方法的EEG / ERP自适应噪声消除器设计及其他优化算法
2. Comparison of performances of several FACTS devices using Cuckoo search algorithm optimized 2DOF controllers in multi-area AGC [J] . Puja Dash, Lalit Chandra Saikia, Nidul Sinha International journal of electrical power and energy systems . 2015,第feba期

机译：使用Cuckoo搜索算法优化的2DOF控制器在多区域AGC中比较几种FACTS设备的性能
3. Performance analysis and feasibility study of ant colony optimization, particle swarm optimization and cuckoo search algorithms for inverse heat transfer problems [J] . Udayraj, Konica Mulani, Prabal Talukdar, International Journal of Heat and Mass Transfer . 2015,第octa期

机译：反传热问题的蚁群优化，粒子群优化和布谷鸟搜索算法的性能分析和可行性研究
4. EACSRO: Epsilon constraint-based Adaptive Cuckoo Search algorithm for Rate Optimized Congestion Avoidance and Control in Wireless Sensor Networks [C] . Vaibhav Eknath Narawade, Uttam D. Kolekar International Conference on IoT in Social, Mobile, Analytics and Cloud . 2017

机译：EACSRO：基于EPSILON约束的自适应CUCKOO搜索算法，用于无线传感器网络中的速率优化拥塞避免和控制
5. An Accuracy Controlled Combined Adaption-Optimization Scheme for Improving the Performance of Three-Dimensional Microwave Devices over a Frequency Band. [D] . Nair, Dileep. 2009

机译：一种精度控制的组合自适应优化方案，用于提高一个频段上的三维微波设备的性能。
6. A Novel Fuzzy PID Congestion Control Model Based on Cuckoo Search in WSNs [O] . Lin Lin, You Shi, Jinfu Chen, 2020

机译：无线传感器网络中基于布谷鸟搜索的模糊PID拥塞控制模型
7. ACSRO: Adaptive cuckoo search based rate adjustment for optimized congestion avoidance and control in wireless sensor networks [O] . Narawade Vaibhav, Kolekar Uttam D. 2016

机译：ACSRO：基于自适应杜鹃搜索的速率调整，可在无线传感器网络中优化拥塞避免和控制

Performance Analysis of the Adaptive Cuckoo Search Rate Optimization Scheme for the Congestion Control in the WSN

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