A Study on AI-Driven Internet of Battlefield Things (IoBT)-Based Decision Making
Kutubuddin Sayyad Liyakat Kazi
Abstract
The sensors that fuel the Internet of Body Technology (IoBT) provide essential information that improves situational awareness, decision-making, and combat performance. Despite challenges, the continuous development and integration of these technologies will transform combat, defining the character of conflict and changing the landscape of future battlegrounds. An array of sensors that continuously provide real-time data to intelligent computers will enable commanders to make well-informed decisions at the speed of light. The outcomes of every classifier employed in the KSK (Kutubuddin S Kazi) Approach are analyzed in the following scenarios: target acquisition and tracking, environmental condition, health, remote operations, and disaster relief. The accuracy range for the recommended KSK approach in IoBT is 90% to 96%, whereas the ranges for recall and precision are 89% to 95% and 90% to 95%, respectively.