Node deployment optimization of underwater wireless sensor networks using intelligent optimization algorithm and robot collaboration.

ABSTRACT: This study aims to optimize the node deployment of underwater wireless sensor networks (UWSNs) using intelligent optimization algorithms and robot collaboration technology to enhance network performance and coverage. The study employs the chemical reaction optimization (CRO) algorithm, which combines the advantages of genetic algorithms, simulated annealing algorithms, and ant colony algorithms. The CRO algorithm is enhanced through a structure correction function to determine the optimal node deployment scheme to achieve effective and optimal coverage control of the UWSN. Additionally, the flexibility and autonomy of robots are leveraged to improve the efficiency of node deployment and address the unique challenges posed by the underwater environment. Furthermore, the study conducts a com

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC10517991 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature