This work presents an AI-driven framework for ISTAR missions in tactical networks, integrating autonomous vehicles, AI systems, and battery-free wireless sensor networks (BFWSNs). The approach addresses challenges such as connectivity, scalability, energy efficiency, and security in hostile environments. A pyramidal-based strategic connected dominating set (PBS-CDS) algorithm optimizes network performance and communication reliability. BFWSNs harvest ambient energy, enhancing sustainability and reducing maintenance. The framework includes network design, BWSN integration, inter-network communication, and AI-powered surveillance. Advanced sensors on autonomous vehicles enable real-time intelligence. This architecture improves scalability, extends network lifetime, and strengthens tactical superiority. © 2025 Elsevier B.V., All rights reserved.