A NOVEL METHOD OF RESPONSIBLE MULTI-PATH TRANSMISSION BASED ON ARTIFICIAL INTELLIGENCE DECIDER WITH EFFICIENT INFORMATION TRANSMISSION

Abstract

This study suggests a multi-path direction-finding approach for WSNs that is power competent.  The main problems limiting the lifetime of sensory associations are characteristics of sensory related nodes, which include limited batteries and unproductive protocols.  The objective of this study is to improve a direction-finding technique that might be applied in a WSN.  By using predefined collect and dropping the numeral of node transforms with fixed nodes, including lower power nodes, the projected procedure's mainly noteworthy accomplishment is the lessening of disproportionate transparency frequently found in the majority direction-finding etiquette.  Because energy-efficient protocols may lower sensor node power consumption, the performance study shows that lowering overhead greatly extends sensor node lifespan. Consequently, a WSN's scalability may be increased.  Additionally, the deployment of transmit nodes has a constructive contact on network power indulgence.  When comparing the proposed MPTAIM with the current models, the following metrics were used: Average delay, PDR, PLR, Energy Efficient Analysis, and Network existence Analysis. The outcome of the research showed that the suggested model surpass the current models.