A Fuzzy Congestion Control in Wireless Sensor Networks based on Spider Monkey Optimization Algorithm-Reference-Cited by-同舟云学术

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A Fuzzy Congestion Control in Wireless Sensor Networks based on Spider Monkey Optimization Algorithm

Published:2024-03-14 Issue: Volume: Page:1-8
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Kumar P. Maniraj¹^ORCID,Nagarajan P.²^ORCID,Kaleel Rahuman A.¹^ORCID,Gobinath T.³^ORCID

Affiliation:

1. Department of Electronics and Communication Engineering, PSNA College of Engineering and Technology, Dindigul, India

2. Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Vadapalani, India

3. Department of Computer Science and Engineering, Chettinad College of Engineering and Technology, Karur, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2024.2310123

Reference15 articles.

1. Adaptive fuzzy inverse optimal control for uncertain strict-feedback nonlinear systems;Li Y. M.;IEEE Trans. Fuzzy Syst.,2019

2. Adaptive neural networks finite-time optimal control for a class of nonlinear systems;Li Y.;IEEE Trans. Neural Netw. Learn. Syst.,2019

3. D. Tripathy, A. K. Barik, N. B. D. Choudhury, and B. K. Sahu. “Performance comparison of SMO-based fuzzy PID controller for load frequency control,” in Soft Computing for Problem Solving: SocProS 2017, Vol. 2, 2019, pp. 879–92. Springer Singapore.

4. Multi-Level Planning and Scheduling for Parallel PCB Assembly Lines Using Hybrid Spider Monkey Optimization Approach

5. Evolutionary and Swarm Intelligence Algorithms

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