Accelerating Iot-Based Sensing Technologies for Secure and Energy-Efficient Systems
Nikhil Jain, Amit Aylani · 2025
IoT has rapidly changed conventional processes across various industries, especially energy and security domains. Due to increasing integration of sensors and connected devices, IoT-based solutions enable real-time monitoring, data-driven decision-making threat response. Developers face challenges related to data privacy, system scalability, communication protocols and energy management. In this paper provides complete discussion of IoT-based sensing systems for energy efficiency and security. First, it reviews main IoT architectures which is followed by analysis of key sensing mechanisms. These technologies help to optimize load distribution in smart grids and improve threat detection in surveillance networks. In this paper provides a complete discussion on IoT-based sensing systems used for energy efficiency and security. The first phase explains the main IoT architecture and then takes a closer look at key sensing technologies. It optimizes energy consumption in smart grids and improves security by detecting potential threats in surveillance systems. In this paper presents a unified framework that incorporate edge computing for real-time analytics, encryption methods for secure data communication and an adaptive resource allocation model to suited large-scale deployments. Experimental results show 91% accuracy in intruder detection with low latency and 15–20% gain in energy efficiency in smart-grid prototypes. The paper wraps up by highlighting challenges, stressing the importance of having standardized protocols, cybersecurity, and sensor fusion.