This paper explores the enhancement of border surveillance through the integration of Internet of Things (IoT). Focusing on deploying sensor networks, drones with advanced sensors, and satellite imagery, the research in IoT aims to elevate real-time monitoring and threat detection along borders. It delves into the utilization of artificial intelligence (AI) and data analytics for the precise identification of potential threats, thereby ensuring improved situational awareness and operational efficiency. The effectiveness of this integrated surveillance approach is validated using various simulation tools, highlighting its advantages in proactive threat management and energy optimization. The study also considers the cybersecurity aspects critical to safeguard surveillance data. Concluding with future directions, it underscores the potential of IoT technologies in developing a comprehensive, efficient, and secure border surveillance system, offering a pathway for further research in this vital area of national security.