Anycast Routing Algorithm Based on Krill Herd Optimization for Wireless Sensor Networks
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@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}
}
TY - JOUR
T1 - Anycast Routing Algorithm Based on Krill Herd Optimization for Wireless Sensor Networks
AU - Yun-li Gu, Xin Xu, Ya-ping Cheng and Yan-juan Zhang
JO - Journal of Information and Computing Science
VL - 3
SP - 234
EP - 240
PY - 2024
DA - 2024/01
SN - 12
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22482.html
KW - krill herd optimization, wireless sensor networks, anycast, routing algorithm.
AB - 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.
Yun-li Gu, Xin Xu, Ya-ping Cheng and Yan-juan Zhang. (2024). Anycast Routing Algorithm Based on Krill Herd Optimization for Wireless Sensor Networks.
Journal of Information and Computing Science. 12 (3).
234-240.
doi:
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