@Article{JICS-12-234,
author = {Yun-li Gu, Xin Xu, Ya-ping Cheng and Yan-juan Zhang},
title = {Anycast Routing Algorithm Based on Krill Herd Optimization for Wireless Sensor Networks},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {12},
number = {3},
pages = {234--240},
abstract = {Krill herd optimization is a novel bionic swarm intelligence optimization method, but currently it 
is mostly used only in the field of engineering optimization. Since node’s energy is limited and establishing 
effective routing is difficult in wireless sensor networks, in this paper, we try to apply krill herd optimization 
in  anycast  routing  algorithm  for  wireless  sensor  networks.  The  krill  are  moved  to  the  high  fitness  area 
(anycast paths with better energy consumption condition)  through induced motion, foraging movement and 
random  diffusion  behaviors.  Moreover,  crossover  and  mutation  operators  in  genetic  reproduction 
mechanisms are adopted for improving the ability of accelerating optimization speed and breaking away from 
the local optimum. In comparison with ant colony optimization, simulation experiments results show that the 
performances of the proposed algorithm are better in terms of  convergence speed, optimization results and 
scalability. 
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22482.html}
}