ARTIFICIAL INTELLIGENCE - BASED MULTIOPATH TRANSMISSION MODEL FOR WSN ENERGY EFFICIENCY

Abstract

This paper presents a network-coding-based transmission strategy called alternative multipath to boost the transmission reliability and energy efficiency of wireless sensor networks (AMNC). Encoded data packets are transmitted to the sink through alternative multipath from the cluster head. MATLAB 7.0 simulates WSNs energy utilization and reliability. Simulation findings show AMNC outperforms parallel multipath based on network coding. The two techniques show this. A well-defined discussion of the research subject, specific technologies, strengths and weaknesses, scopes, and problem formulation is required for any study. The ocean covers approximately two-thirds of the earths surface, therefore its hard for any economy to avoid it (i.e., country). The ocean serves as a main method of transportation, supports international trade, and is crucial for defense. In recent years, it has come to light how crucial ocean or water-routes are for enabling rapid and cost-effective transportation for the expansion of businesses. In order to realize transcontinental commercial practices and discover the true meaning of socioeconomic globalization, the role that oceanic waterways have played has been essential. On the other hand, maintaining efficient real-time environmental or auditory conditioning (also known as condition awareness) is required in order to make optimum mobility possible. Because of its exceptionally high dynamic network topology, an audio channel experiences a significant amount of network deviation as a result, it calls for a communication paradigm that is more effective in order to support the aforementioned application environment.