Abstract
AbstractThe problem of low energy consumption is currently a principal research issue in wireless sensor networks. By optimizing network topology and routing, the problem of excessive energy consumption is effectively solved, and the survival time of the entire network is effectively improved. Traditional Low Energy Adaptive Clustering Hierarchy (LEACH) and other algorithms are effective for sensor network topology control and network Optimization algorithm. Nevertheless, these algorithm has the enigmas of equal probability cluster head selection and slow convergence speed. This paper combines the characteristics of GA algorithm with fast convergence speed and designs the GA-LEACH algorithm to solve these problems. First, LEACH clustering is performed by the Chameleon algorithm. And then adopt a genetic algorithm (GA) to select cluster heads. The simulation results show that the problem of unreasonable topological structure and slow algorithm convergence in wireless sensor networks caused by the selection of equal-probability cluster heads are effectively solved.KeywordsWireless sensor networkLow energy consumption algorithmNetwork topology controlRouting algorithmGA-LEACH algorithm
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
