Abstract
In order to improve the positioning ability of wireless sensor networks, a positioning algorithm based on distance estimation of node degree is proposed. An optimized topological structure model of wireless sensor network information collection nodes is constructed, and a wireless sensor network transmission link model is designed by combining the Porter balanced modulation method of wireless sensor channels. Adaptive spread spectrum sequence recombination of wireless sensor network transmission links is carried out by adopting adaptive information conduction control technology, and a balanced scheduling model of wireless sensor network transmission links is constructed by adopting node balanced scheduling and information sensing fusion tracking methods. Combining with the node degree estimation method, this paper estimates the position information of the information collection nodes in wireless sensor networks, establishes the positioning model of wireless sensor networks, and realizes the positioning of wireless sensor networks by combining the distance parameter analysis of node degree estimation and fuzzy clustering methods. Simulation results show that this method has better intelligence and positioning accuracy, reduces the bit error rate of information transmission in wireless sensor networks, and improves the balanced deployment ability of information collection nodes in wireless sensor networks.
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.
