Addressing the Real World Problem of Managing Wireless Communication Systems Using Explainable AI-Based Models through Correlation Analysis

Abstract

In a general parlance, wireless communication tends to be investigated based on the available methods that support enhancing the optimized data link, especially the software-based methods. AI is mainly used to create and design efficient communication network systems and variable node locations. The major factors impacting wireless communications in the current context are enhanced channel frequency, efficiency of using the bandwidth, and modulation type. The software-defined ratio enables collecting the information and analyzing the overall signal-related components and processing them in real-time situations. This will support in detecting unnecessary information and identifying latency at each stage of communication. The study is intended to measure the influence of critical factors in enhancing the overall management of wireless communication systems through the application of AI technologies. The researchers used the questionnaire method in order to collect the data from the respondents and enable them to analyze the data using the SPSS data package.

SRLA - High Secure Optimised routing protocol for Wireless ad hoc networks using Log likelihood ratio enabled Ant Colony Optimization

“…The application of new technologies and algorithms tends to enhance the overall accuracy and efficiency of wireless communication systems. The modifications of these systems tend to increase the overall potential based on the conditions and characteristics they support in realizing sustainable growth and development [13]. A focus on the most recent research and development in the quickly expanding field of ad hoc networks, Mobile Ad Hoc Networking thoroughly examines all aspects of the technology, including protocols and models.…”