scholarly journals Multi‐path unequal clustering protocol based on ant colony algorithm in wireless sensor networks

IET Networks ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 56-63 ◽  
Author(s):  
Weijing Wang ◽  
Guoxiang Tong
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Unequal Clustering ◽  
Clustering Protocol

scholarly journals Routing Clustering Protocol for 3D Wireless Sensor Networks Based on Fragile Collection Ant Colony Algorithm

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 58874-58888 ◽  
Author(s):  
Tianyi Zhang ◽  
Geng Chen ◽  
Qingtian Zeng ◽  
Ge Song ◽  
Chao Li ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Clustering Protocol

scholarly journals A Self-organizing Wireless Sensor Networks Based on Quantum Ant Colony Evolutionary Algorithm

2017 ◽  
Vol 13 (07) ◽  
pp. 69 ◽  
Author(s):  
Lin-lin Wang ◽  
Chengliang Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Evolutionary Algorithm ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Target Coverage ◽  
Dynamic Adjustment ◽  
Coverage Problem ◽  
Self Organizing

<p><span style="font-size: medium;"><span style="font-family: 宋体;">Aiming at the coverage problem of self-organizing wireless sensor networks, a target coverage method for wireless sensor networks based on Quantum Ant Colony Evolutionary Algorithm (QACEA) is put forward. This method introduces quantum state vector into the coding of ant colony algorithm, and realizes the dynamic adjustment of ant colony through quantum rotation port. The simulation results show that the quantum ant colony evolutionary algorithm proposed in this paper can effectively improve the target coverage of wireless sensor networks, and has obvious advantages compared with the other two methods in detecting the number of targets and the convergence speed. Based on the above findings, it is concluded that the algorithm proposed plays an essential role in the improvement of target coverage and it can be widely used in the similar fields, which has great and significant practical value.</span></span></p>

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