For the problems of premature death of cluster head nodes, short network life cycle and fast energy consumption in hierarchical clustering LEACH protocol in wireless sensor networks, an improved routing protocol K-means LEACH distance optimization algorithm based on LEACH is proposed in this paper. The improved routing algorithm takes into account the problems such as random selection of cluster heads and tedious calculation of distance formula in LEACH algorithm, so K-means clustering algorithm is introduced. The specific scheme is to first divide the data into K classes, then select the appropriate cluster heads, and introduce the Chebyshev distance formula on the basis of K-means clustering algorithm. From the comparative analysis of the simulation results, the K-means LEACH distance optimization algorithm compared to the original LEACH algorithm wireless network node life cycle by 64%, node energy consumption by 26%, which is conducive to improving the stability of WSN, reducing node energy consumption and extending the network survival time.
ZigBee network communication in the LAN is susceptible to interference from WiFi, Bluetooth, adjacent network obstacles, and other factors. ZigBee network itself cannot identify the type of interference, resulting in network reliability decline, and in severe cases, it will cause network paralysis. In response to this problem, this paper proposes a ZigBee network channel interference type identification method based on BP neural network, which accurately identifies the interference type by constructing neural networks in the ZigBee chip. If the decision output is WIFI or adjacent network interference on the same frequency, the ZigBee network communication channel is configured through the MAC layer of the ZigBee protocol stack to avoid interference. If the decision output is obstacle interference, the physical network can be reconstructed to avoid obstacles. Through simulation verification, the ZigBee network channel interference type identification method can significantly improve ZigBee network communication quality and anti-interference performance, which has application value.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.