Energy Efficient Networks Using Ant Colony Optimization with Game Theory Clustering-Reference-Cited by-同舟云学术

Energy Efficient Networks Using Ant Colony Optimization with Game Theory Clustering

Published:2023 Issue:3 Volume:35 Page:3557-3571
ISSN:1079-8587
Container-title:Intelligent Automation & Soft Computing
language:en
Short-container-title:

Author:

Gunigari Harish,Chitra S.

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Reference35 articles.

1. Game theory based energy efficient clustering algorithm for wireless sensor networks;Xiao;Sensors,2022

2. A novel energy efficient and reliable ACO based routing protocol for WSN enabled for rest fires detection;Noureddine;Journal of Ambient Intelligence and Humanized Computing,2022

3. A novel ant colony algorithm for solving shortest path problems with fuzzy arc weights;Caprio;Alexandria Engineering Journal,2021

4. Ant colony optimization and excess energy calculations based fast converging energy efficient routing algorithm for wsns;Jain;Wireless Personal Communications,2019

5. MACO-QCR: Multiobjective ACObased QoSaware crosslayer routing protocols in WSN;Kaur;IEEE Sensors Journal,2021

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