Open AccessResource Allocation Based on Chaotic Ant Colony Algorithm in Self-organizing Wireless Sensor Network
Author(s) -
Min Tian,
Jinbin Bai
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1673/1/012027
Subject(s) - ant colony optimization algorithms , chaotic , computer science , wireless sensor network , resource allocation , genetic algorithm , scheme (mathematics) , algorithm , ant colony , resource (disambiguation) , wireless network , wireless , real time computing , computer network , artificial intelligence , machine learning , mathematics , telecommunications , mathematical analysis
A resource allocation scheme based on chaotic ant colony algorithm in self-organizing wireless sensor network is proposed, and corresponding chaotic sequence generator is designed in this paper. Simulations are conducted to compare the proposed method with conventional genetic algorithm and dynamic programming algorithm under self-organizing wireless sensor network environment. Results show that compared with the scheme based on dynamic allocation algorithm and conventional genetic algorithm, the scheme based on chaotic ant colony algorithm has higher target detection rate and lower power consumption, which also extends the networks lifetime.